{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,12]],"date-time":"2026-05-12T08:43:54Z","timestamp":1778575434173,"version":"3.51.4"},"reference-count":391,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2021,7,9]],"date-time":"2021-07-09T00:00:00Z","timestamp":1625788800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Condition monitoring of rail transport systems has become a phenomenon of global interest over the past half a century. The approaches to condition monitoring of various rail transport systems\u2014especially in the context of rail vehicle subsystem and track subsystem monitoring\u2014have been evolving, and have become equally significant and challenging. The evolution of the approaches applied to rail systems\u2019 condition monitoring has followed manual maintenance, through methods connected to the application of sensors, up to the currently discussed methods and techniques focused on the mutual use of automation, data processing, and exchange. The aim of this paper is to provide an essential overview of the academic research on the condition monitoring of rail transport systems. This paper reviews existing literature in order to present an up-to-date, content-based analysis based on a coupled methodology consisting of bibliometric performance analysis and systematic literature review. This combination of literature review approaches allows the authors to focus on the identification of the most influential contributors to the advances in research in the analyzed area of interest, and the most influential and prominent researchers, journals, and papers. These findings have led the authors to specify research trends related to the analyzed area, and additionally identify future research agendas in the investigation from engineering perspectives.<\/jats:p>","DOI":"10.3390\/s21144710","type":"journal-article","created":{"date-parts":[[2021,7,9]],"date-time":"2021-07-09T10:50:38Z","timestamp":1625827838000},"page":"4710","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":57,"title":["Condition Monitoring of Rail Transport Systems: A Bibliometric Performance Analysis and Systematic Literature Review"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5078-4067","authenticated-orcid":false,"given":"Mariusz","family":"Kostrzewski","sequence":"first","affiliation":[{"name":"Faculty of Transport, Warsaw University of Technology, 00-662 Warsaw, Poland"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2900-784X","authenticated-orcid":false,"given":"Rafa\u0142","family":"Melnik","sequence":"additional","affiliation":[{"name":"Faculty of Computer Science and Food Science, Lomza State University of Applied Sciences, 18-400 \u0141om\u017ca, Poland"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,9]]},"reference":[{"key":"ref_1","first-page":"573","article-title":"An Investigation into the Sensor Placement of a Marine Engine Lubrication System for Condition Monitoring","volume":"Volume 166","author":"Ball","year":"2020","journal-title":"Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Goodall, R., and Roberts, C. (2006, January 29\u201330). Concepts and techniques for railway condition monitoring. Proceedings of the 2006 IET International Conference on Railway Condition Monitoring, Birmingham, UK.","DOI":"10.1049\/ic:20060050"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1045","DOI":"10.1080\/00423114.2017.1296963","article-title":"An overview: Modern techniques for railway vehicle on-board health monitoring systems","volume":"55","author":"Li","year":"2017","journal-title":"Veh. Syst. Dyn."},{"key":"ref_4","unstructured":"Wahab, M. (2019, January 9\u201310). Operational Modal Analysis of Y25 Bogie via Stochastic Subspace Identification for the Condition Monitoring of Primary Suspension Systems. Proceedings of the 13th International Conference on Damage Assessment of Structures. Lecture Notes in Mechanical Engineering, Porto, Portugal."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"103678","DOI":"10.1016\/j.engappai.2020.103678","article-title":"Potential, challenges and future directions for deep learning in prognostics and health management applications","volume":"92","author":"Fink","year":"2020","journal-title":"Eng. Appl. Artif. Intell."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"12016","DOI":"10.1088\/1742-6596\/364\/1\/012016","article-title":"Modern techniques for condition monitoring of railway vehicle dynamics","volume":"364","author":"Ngigi","year":"2012","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_7","first-page":"671","article-title":"Condition Monitoring Systems in the Railway Industry","volume":"Volume 166","author":"Ball","year":"2020","journal-title":"Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"77","DOI":"10.1016\/j.measurement.2017.02.033","article-title":"Rolling element bearing fault diagnosis under slow speed operation using wavelet de-noising","volume":"103","author":"Mishra","year":"2017","journal-title":"Measurement"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"125107","DOI":"10.1088\/1361-6501\/ab26a2","article-title":"An intelligent fault diagnosis framework dealing with arbitrary length inputs under different working conditions","volume":"30","author":"An","year":"2019","journal-title":"Meas. Sci. Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1177\/1687814019826795","article-title":"Review on model-based methods for on-board condition monitoring in railway vehicle dynamics","volume":"11","author":"Strano","year":"2019","journal-title":"Adv. Mech. Eng."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"355","DOI":"10.1177\/1475921704047500","article-title":"Vibration based condition monitoring: A review","volume":"3","author":"Carden","year":"2004","journal-title":"Struct. Health Monit."},{"key":"ref_12","first-page":"42","article-title":"Industry 4.0\u2014Potentials for predictive maintenance","volume":"Volume 24","author":"Wang","year":"2016","journal-title":"Proceedings of the 6th International Workshop of Advanced Manufacturing and Automation"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Randall, R.B. (2010). Vibration-Based Condition Monitoring: Industrial, Aerospace and Automotive Applications, John Wiley & Sons Ltd.","DOI":"10.1002\/9780470977668"},{"key":"ref_14","unstructured":"Rao, B.K.N. (1996). Handbook of Condition Monitoring, Elsevier. [1st ed.]."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"552","DOI":"10.1016\/j.compind.2006.02.011","article-title":"SIMAP: Intelligent system for predictive maintenance: Application to the health condition monitoring of a windturbine gearbox","volume":"57","author":"Garcia","year":"2006","journal-title":"Comput. Ind."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"561","DOI":"10.1108\/IJPPM-04-2018-0136","article-title":"Innovative airport 4.0 condition-based maintenance system for baggage handling DCV systems","volume":"68","author":"Koenig","year":"2019","journal-title":"Int. J. Product. Perform. Manag."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"55","DOI":"10.21595\/vp.2019.21033","article-title":"Concept for an event-triggered wireless sensor network for vibration-based diagnosis in trams","volume":"27","author":"Wolf","year":"2019","journal-title":"Vibroeng. Procedia"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Davies, A. (1998). Handbook of Condition Monitoring, Springer.","DOI":"10.1007\/978-94-011-4924-2"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"202","DOI":"10.1177\/09544097JRRT406","article-title":"Condition monitoring opportunities using vehicle-based sensors","volume":"225","author":"Ward","year":"2011","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Siegel, A., Zhakov, A., Zhu, H., Schmidt, T., Hummel, S., and Fienhold, L. (2018, January 10\u201311). Trailer based rail monitoring in overhead hoist transport systems. Proceedings of the 2018 International Symposium on Semiconductor Manufacturing (ISSM), Tokyo, Japan.","DOI":"10.1109\/ISSM.2018.8651147"},{"key":"ref_21","unstructured":"Vinberg, E.M., Martin, M., Firdaus, A.H., and Tang, Y. (2018). Railway Applications of Condition Monitoring, KTH, Royal Institute of Technology."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"303","DOI":"10.1098\/rsta.2006.1928","article-title":"An introduction to structural health monitoring","volume":"365","author":"Farrar","year":"2007","journal-title":"Philos. Trans. R. A Soc."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Ngamkhanong, C., Kaewunruen, S., and Afonso Costa, B.J. (2018). State-of-the-art review of railway track resilience monitoring. Infrastructures, 3.","DOI":"10.3390\/infrastructures3010003"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"479","DOI":"10.1016\/j.proeng.2017.04.511","article-title":"Defining Rail Track Input Conditions Using an Instrumented Revenue Vehicle","volume":"188","author":"Chong","year":"2017","journal-title":"Procedia Eng."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"Patton, R.J., Frank, P.M., and Clark, R.N. (2000). Issues of Fault Diagnosis for Dynamic System, Springer.","DOI":"10.1007\/978-1-4471-3644-6"},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"743","DOI":"10.1080\/00423110701426690","article-title":"Control and monitoring for railway vehicle dynamics User Modeling and User-Adapted Interaction","volume":"45","author":"Bruni","year":"2007","journal-title":"Veh. Syst. Dyn."},{"key":"ref_27","unstructured":"Tsunashima, H. (2018). Railway Condition Monitoring, Present and Application for Regional Railways, Nihon University. Report of the Research Institute of Industrial Technology."},{"key":"ref_28","unstructured":"Ulianov, C., and Hyde, P. (2020, November 29). Innovative Monitoring and Predictive Maintenance Solutions on Lightweight Wagon. Available online: http:\/\/newrail.org\/innowag\/wp-content\/uploads\/2017\/12\/INNOWAG_D1.1_Benchmark-market-drivers.pdf."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Wang, H., Kolmanovsky, I., and Sun, J. (2016, January 6\u20138). Set-membership condition monitoring framework for dual fuel engines. Proceedings of the American Control Conference (ACC), Boston, MA, USA.","DOI":"10.1109\/ACC.2016.7525426"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"814","DOI":"10.1080\/00423114.2016.1164869","article-title":"An efficient recursive least square-based condition monitoring approach for a rail vehicle suspension system","volume":"54","author":"Liu","year":"2016","journal-title":"Veh. Syst. Dyn."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Chen, J., and Roberts, C. (2006, January 29\u201330). Effective condition monitoring of line side assets. Proceedings of the 2006 IET International Conference on Railway Condition Monitoring, Birmingham, UK.","DOI":"10.1049\/ic:20060048"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1088","DOI":"10.1109\/TITS.2014.2366512","article-title":"Wireless sensor networks for condition monitoring in the railway industry: A survey","volume":"16","author":"Hodge","year":"2015","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"415","DOI":"10.1080\/00423110801979259","article-title":"Model-based condition monitoring at the wheel-rail interface","volume":"46","author":"Charles","year":"2008","journal-title":"Veh. Syst. Dyn."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"705","DOI":"10.1177\/0954409714526164","article-title":"Condition monitoring at the wheel\/rail interface for decision-making support","volume":"228","author":"Palo","year":"2014","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Worth, A.T.S., and Escartin-Claveria, B. (2014, January 17\u201318). Alstom\u2019s approach to railway condition monitoring. Proceedings of the 6th IET Conference on Railway Condition Monitoring (RCM 2014), Birmingham, UK.","DOI":"10.1049\/cp.2014.0991"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.ymssp.2012.03.003","article-title":"Reduction of Doppler effect for the needs of wayside condition monitoring system of railway vehicles","volume":"38","author":"Radkowski","year":"2013","journal-title":"Mech. Syst. Signal. Process."},{"key":"ref_37","first-page":"1","article-title":"Real-time train wheel condition monitoring by fiber Bragg grating sensors","volume":"2012","author":"Wei","year":"2012","journal-title":"Int. J. Distrib. Sens. Netw."},{"key":"ref_38","doi-asserted-by":"crossref","unstructured":"Tsunashima, H., and Mori, H. (2010, January 27\u201330). Condition monitoring of railway vehicle suspension using adaptive multiple model approach. Proceedings of the ICCAS 2010\u2014International Conference on Control, Automation and Systems, Gyeonggi-do, Korea.","DOI":"10.1109\/ICCAS.2010.5669915"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1243\/09544097JRRT289","article-title":"Railway point mechanisms: Condition monitoring and fault detection","volume":"224","author":"Roberts","year":"2010","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_40","unstructured":"Kaneko, S. (2007, January 6\u20139). Condition monitoring in engineering asset management. Proceedings of the 12th Asia-Pacific Vibration Conference, Sapporo, Japan."},{"key":"ref_41","unstructured":"ISO 17359 (2003). Condition Monitoring and Diagnostics of Machines\u2014General Guidelines, International Organization for Standardization."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Sextro, W., and Sondermann-W\u00f6lke, C. (2009, January 15\u201320). Towards the Integration of Condition Monitoring in Self-Optimizing Function Modules. Proceedings of the Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, Computation World, Athens, Greece.","DOI":"10.1109\/ComputationWorld.2009.47"},{"key":"ref_43","doi-asserted-by":"crossref","unstructured":"McDonald, M., and Richards, A. (1995, January 4). Vehicle health monitoring on the Docklands Light Railway. Proceedings of the IEE Colloquium on Advanced Condition Monitoring Systems for Railways, London, UK.","DOI":"10.1049\/ic:19950985"},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Nicks, S. (1998, January 10). Condition monitoring of the track\/train interface. Proceedings of the IEE Seminar Condition Monitoring for Rail Transport Systems, London, UK.","DOI":"10.1049\/ic:19980980"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1167","DOI":"10.1080\/00423110802553087","article-title":"Condition monitoring of rail vehicle suspensions based on changes in system dynamic interactions","volume":"47","author":"Mei","year":"2009","journal-title":"Veh. Syst. Dyn."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1007\/978-981-15-1532-3_8","article-title":"Soft Computing Methods and Its Applications in Condition Monitoring of DGS\u2014A Review","volume":"1096","author":"Joshi","year":"2020","journal-title":"Adv. Intell. Syst. Comput."},{"key":"ref_47","doi-asserted-by":"crossref","first-page":"4","DOI":"10.1109\/JSEN.2018.2875160","article-title":"Onboard Condition Monitoring Sensors, Systems and Techniques for Freight Railway Vehicles: A Review","volume":"19","author":"Bernal","year":"2019","journal-title":"IEEE Sens. J."},{"key":"ref_48","doi-asserted-by":"crossref","unstructured":"Hamadache, M., Dutta, S., Olaby, O., Ambur, R., Stewart, E., and Dixon, R. (2019). On the fault detection and diagnosis of railway switch and crossing systems: An overview. Appl. Sci., 9.","DOI":"10.3390\/app9235129"},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Muthukumar, M., and Nallathambi, S. (2017, January 27\u201328). Remote sensor networks for condition monitoring: An application on railway industry. Proceedings of the 2017 IEEE International Conference on Electrical, Instrumentation and Communication Engineering (ICEICE 2017), Karur, India.","DOI":"10.1109\/ICEICE.2017.8191894"},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1109\/JSEN.2018.2875600","article-title":"Railroad Track Condition Monitoring Using Inertial Sensors and Digital Signal Processing: A Review","volume":"19","author":"Chia","year":"2019","journal-title":"IEEE Sens. J."},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Tsunashima, H. (2019). Condition Monitoring of Railway Tracks from Car-Body Vibration Using a Machine Learning Technique. Appl. Sci., 9.","DOI":"10.3390\/app9132734"},{"key":"ref_52","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1049\/ip-epa:20020499","article-title":"Condition monitoring of railway electric point machines","volume":"149","author":"Oyebande","year":"2002","journal-title":"IEE Proc. Electr. Power Appl."},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1243\/09544097F02605","article-title":"The design and implementation of a simulated trackside environment test system for an electric point machine","volume":"221","author":"Oyebande","year":"2007","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Fraga-Lamas, P., Fern\u00e1ndez-Caram\u00e9s, T.M., and Castedo, L. (2017). Towards the internet of Smart trains: A review on industrial IoT-connected railways. Sensors, 17.","DOI":"10.3390\/s17061457"},{"key":"ref_55","first-page":"143","article-title":"Raise: Railway Infrastructure Health Monitoring Using Wireless Sensor Networks","volume":"Volume 122","author":"Zuniga","year":"2013","journal-title":"Sensor Systems and Software. S-CUBE 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"803","DOI":"10.1007\/s00170-017-1474-8","article-title":"Development and trend of condition monitoring and fault diagnosis of multi-sensors information fusion for rolling bearings: A review International","volume":"96","author":"Duan","year":"2018","journal-title":"J. Adv. Manuf. Technol."},{"key":"ref_57","doi-asserted-by":"crossref","unstructured":"Neuendorf, K.A. (2017). The Content Analysis Guidebook, SAGE Pyblication Inc.. [2nd ed.].","DOI":"10.4135\/9781071802878"},{"key":"ref_58","unstructured":"Mayring, P. (2014). Qualitative Content Analysis: Theoretical Foundation, Basic Procedures and Software Solution, Alpen-Adria Universit\u00e4t Klagenfurt. Available online: http:\/\/nbn-resolving.de\/urn:nbn:de:0168-ssoar-395173."},{"key":"ref_59","doi-asserted-by":"crossref","first-page":"1277","DOI":"10.1177\/1049732305276687","article-title":"Three approaches to qualitative content analysis","volume":"15","author":"Hsieh","year":"2005","journal-title":"Qual Health Res."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Marczewska, M., and Kostrzewski, M. (2020). Sustainable Business Models: A Bibliometric Performance Analysis. Energies, 13.","DOI":"10.3390\/en13226062"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"91","DOI":"10.1111\/j.1471-1842.2009.00848.x","article-title":"A typology of reviews: An analysis of 14 review types and associated methodologies","volume":"26","author":"Grant","year":"2009","journal-title":"Health Inf. Libr. J."},{"key":"ref_62","doi-asserted-by":"crossref","unstructured":"Petticrew, M., and Roberts, H. (2006). Systematic Reviews in the Social Sciences: A Practical Guide, Blackwell.","DOI":"10.1002\/9780470754887"},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1016\/j.jeap.2003.10.001","article-title":"The role of English in scientific communication: Lingua franca or Tyrannousaurus rex?","volume":"3","author":"Tardy","year":"2004","journal-title":"J. Engl. Acad. Purp."},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1007\/s11365-017-0487-y","article-title":"International entrepreneurship: A bibliometric overview","volume":"15","year":"2019","journal-title":"Int. Entrep. Manag. J."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Karaduman, G., Karakose, M., and Akin, E. (2018, January 28\u201330). Condition Monitoring Platform in Railways Based on Iot. Proceedings of the 2018 International Conference on Artificial Intelligence and Data Processing (IDAP 2018), Malatya, Turkey.","DOI":"10.1109\/IDAP.2018.8620872"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"839","DOI":"10.1007\/s10845-015-1136-3","article-title":"A new arc detection method based on fuzzy logic using S-transform for pantograph\u2013catenary systems","volume":"29","author":"Karakose","year":"2018","journal-title":"J. Intell. Manuf."},{"key":"ref_67","doi-asserted-by":"crossref","first-page":"830","DOI":"10.2991\/ijcis.11.1.63","article-title":"A new approach for condition monitoring and detection of rail components and rail track in railway","volume":"11","author":"Karakose","year":"2018","journal-title":"Int. J. Comput. Intell. Syst."},{"key":"ref_68","doi-asserted-by":"crossref","first-page":"635","DOI":"10.1109\/TII.2016.2628042","article-title":"A new experimental approach using image processing-based tracking for an efficient fault diagnosis in pantograph-catenary systems","volume":"13","author":"Karakose","year":"2017","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_69","first-page":"22","article-title":"A new computer vision based method for rail track detection and fault diagnosis in railways","volume":"6","author":"Karakose","year":"2017","journal-title":"Int. J. Mech. Eng. Robot. Res."},{"key":"ref_70","doi-asserted-by":"crossref","unstructured":"Santur, Y., Karakose, M., and Akin, E. (2016, January 18\u201321). Chouqet fuzzy integral based condition monitoring and analysis approach using simulation framework for rail faults. Proceedings of the IEEE International Conference on Industrial Informatics (INDIN), Poitiers, France.","DOI":"10.1109\/INDIN.2016.7819184"},{"key":"ref_71","unstructured":"Aydin, I., Karakose, M., and Akin, E. (2014, January 12\u201315). Monitoring of pantograph-catenary interaction by using particle swarm based contact wire tracking. Proceedings of the International Conference on Systems, Signals, and Image Processing, Dubrovnik, Croatia."},{"key":"ref_72","doi-asserted-by":"crossref","unstructured":"Aydin, I., Karak\u00f6se, M., and Akin, E. (2013, January 13\u201316). A robust anomaly detection in pantograph-catenary system based on mean-shift tracking and foreground detection. Proceedings of the 2013 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2013), Manchester, UK.","DOI":"10.1109\/SMC.2013.757"},{"key":"ref_73","doi-asserted-by":"crossref","first-page":"606","DOI":"10.1016\/j.ymssp.2018.06.041","article-title":"Estimation of lateral and cross alignment in a railway track based on vehicle dynamics measurements","volume":"116","author":"Alfi","year":"2019","journal-title":"Mech. Syst. Signal. Process."},{"key":"ref_74","unstructured":"Zobory, I. (2019, January 5\u20137). Condition monitoring and fault detection of suspension components in freight wagons using acceleration measurements. Proceedings of the Mini Conference on Vehicle System Dynamics, Identification and Anomalies, Budapest, Hungary."},{"key":"ref_75","unstructured":"Zobory, I. (2016, January 7\u20139). An application of Kalman filtering estimation to the condition monitoring of the geometric quality of the railway track. Proceedings of the Mini Conference on Vehicle System Dynamics, Identification and Anomalies, Hungary, Budapest."},{"key":"ref_76","unstructured":"Rosenberger, M., Pl\u00f6chl, M., Six, K., and Edelmann, J. (2016b). An efficient condition monitoring strategy of railway vehicle suspension based on recursive least-square algorithm. The Dynamics of Vehicles on Roads and Tracks, Proceedings of the 24th Symposium of the International Association for Vehicle System Dynamics (IAVSD 2015), Graz, Austria, 17\u201321 August 2015, CRC Press."},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Alfi, S., De Rosa, A., and Bruni, S. (2016, January 27\u201328). Estimation of lateral track irregularities from on-board measurement: Effect of wheel-rail contact model. Proceedings of the 7th IET Conference on Railway Condition Monitoring 2016 (RCM 2016), Birmingham, UK.","DOI":"10.1049\/cp.2016.1205"},{"key":"ref_78","unstructured":"Zobory, I. (2014, January 10\u201312). Treatment of driving dynamic datasets of a railway vehicle aimed at condition monitoring of the track. Proceedings of the 14th Mini Conference on Vehicle System Dynamics, Identification and Anomalies, Budapest, Hungary."},{"key":"ref_79","unstructured":"Gasparetto, L., Alfi, S., and Bruni, S. (2012, January 5\u20137). Condition based monitoring of suspension components in high speed railway bogies. Proceedings of the Mini Conference on Vehicle System Dynamics, Identification and Anomalies, Hungary, Budapest."},{"key":"ref_80","unstructured":"Bruni, S., and Alfi, S. (, January 8\u201310). Early instability detection for high speed railway bogies. Proceedings of the Mini Conference on Vehicle System Dynamics, Identification and Anomalies 2010, Hungary, Budapest."},{"key":"ref_81","doi-asserted-by":"crossref","unstructured":"Alfi, S., Bionda, S., Bruni, S., and Gasparetto, L. (2011, January 29\u201330). Condition monitoring of suspension components in railway bogies. Proceedings of the 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011), Derby, UK.","DOI":"10.1049\/cp.2011.0613"},{"key":"ref_82","doi-asserted-by":"crossref","unstructured":"Alfi, S., and Bruni, S. (2008, January 18\u201320). Estimation of long wavelength track irregularities from on board measurement. Proceedings of the 4th IET International Conference on Railway Condition Monitoring, Derby, UK.","DOI":"10.1049\/ic:20080323"},{"key":"ref_83","doi-asserted-by":"crossref","unstructured":"Anyakwo, A., Pislaru, C., and Ball, A. (2013, January 20\u201322). Modelling rail vehicle dynamics using a novel 2D wheel-rail contact model. Proceedings of the UKSim\/AMSS. 7th European Modelling Symposium on Computer Modelling and Simulation (EMS 2013), Manchester, UK.","DOI":"10.1109\/EMS.2013.78"},{"key":"ref_84","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1007\/s11633-012-0640-6","article-title":"A new method for modelling and simulation of the dynamic behaviour of the wheel-rail contact","volume":"9","author":"Anyakwo","year":"2012","journal-title":"Int. J. Autom. Comput."},{"key":"ref_85","doi-asserted-by":"crossref","first-page":"12060","DOI":"10.1088\/1742-6596\/364\/1\/012060","article-title":"Modelling and simulation of dynamic wheel-rail interaction using a roller rig","volume":"364","author":"Anyakwo","year":"2012","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_86","unstructured":"Anyakwo, A., Pislaru, C., Ball, A., and Gu, F. (2011, January 10). A novel approach to modelling and simulation of the dynamic behaviour of the wheel-rail interface. Proceedings of the 2011 17th International Conference on Automation and Computing (ICAC 2011), Huddersfield, UK. 6084942."},{"key":"ref_87","doi-asserted-by":"crossref","unstructured":"Tesfa, B., Gu, F., Anyakwo, A., Al Thobiani, F., and Ball, A. (2011, January 29\u201330). Prediction of metal PM emission in rail tracks for condition monitoring application. Proceedings of the 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011), Derby, UK.","DOI":"10.1049\/cp.2011.0603"},{"key":"ref_88","doi-asserted-by":"crossref","unstructured":"Ngigi, R.W., Pislaru, C., Ball, A., Gu, F., and Anyakwo, A. (2011, January 29\u201330). Predictive control strategies used to solve challenges related to modern railway vehicles. Proceedings of the 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011), Derby, UK.","DOI":"10.1049\/cp.2011.0615"},{"key":"ref_89","unstructured":"Pl\u00f6chl, M., Six, K., Edelmann, J., and Rosenberger, M. (2015, January 17\u201321). Development of track condition monitoring system for conventional railways. Proceedings of the The Dynamics of Vehicles on Roads and Tracks\u2014Proceedings of the 24th Symposium of the International Association for Vehicle System Dynamics (IAVSD 2015), Graz, Austria."},{"key":"ref_90","unstructured":"Pombo, J. (2016, January 5\u20138). The application of an on-board track condition monitoring system for local railways. Proceedings of the Third International Conference on Railway Technology: Research, Development and Maintenance, Cagliari, Italy. Paper 65."},{"key":"ref_91","doi-asserted-by":"crossref","unstructured":"Tsunashima, H., Mori, H., Yanagisawa, K., Ogino, M., and Asano, A. (2014, January 17\u201318). Condition monitoring of railway tracks using compact size on-board monitoring device. Proceedings of the 6th IET Conference on Railway Condition Monitoring (RCM 2014), Birmingham, UK.","DOI":"10.1049\/cp.2014.0996"},{"key":"ref_92","unstructured":"Pombo, J. (2014, January 8\u201311). Track condition monitoring system using on-board sensing device. Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance, Ajaccio, France."},{"key":"ref_93","first-page":"19","article-title":"Assessment of the data quality of wayside wheel profile measurements","volume":"19","author":"Asplund","year":"2016","journal-title":"Int. J. COMADEM"},{"key":"ref_94","doi-asserted-by":"crossref","first-page":"323","DOI":"10.1177\/0954409714541953","article-title":"A study of railway wheel profile parameters used as indicators of an increased risk of wheel defects","volume":"230","author":"Asplund","year":"2016","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_95","doi-asserted-by":"crossref","unstructured":"Kumar, U., Ahmadi, A., Verma, A., and Varde, P. (2016). Data Quality Assessment of Automatic Wheel Profile Measurement Systems. Current Trends in Reliability, Availability, Maintainability and Safety. Lecture Notes in Mechanical Engineering, Springer.","DOI":"10.1007\/978-3-319-23597-4"},{"key":"ref_96","doi-asserted-by":"crossref","first-page":"695","DOI":"10.1177\/0954409714528485","article-title":"Reliability and measurement accuracy of a condition monitoring system in an extreme climate: A case study of automatic laser scanning of wheel profiles","volume":"228","author":"Asplund","year":"2014","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_97","doi-asserted-by":"crossref","unstructured":"Karakose, M., Yaman, O., Aydin, I., and Karakose, E. (2016, January 18\u201321). Real-time condition monitoring approach of pantograph-catenary system using FPGA. Proceedings of the IEEE International Conference on Industrial Informatics (INDIN), Poitiers, France.","DOI":"10.1109\/INDIN.2016.7819209"},{"key":"ref_98","doi-asserted-by":"crossref","unstructured":"Liu, F., Gu, F., Ball, A.D., Zhao, Y., and Peng, B. (2017, January 7\u20138). The validation of an ACS-SSI based online condition monitoring for railway vehicle suspension systems using a SIMPACK model. Proceedings of the ICAC 2017\u20142017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing, Huddersfield, UK.","DOI":"10.23919\/IConAC.2017.8082030"},{"key":"ref_99","doi-asserted-by":"crossref","first-page":"41","DOI":"10.1016\/j.ymssp.2014.06.012","article-title":"Adaptive noise cancelling and time-frequency techniques for rail surface defect detection","volume":"54","author":"Liang","year":"2015","journal-title":"Mech. Syst. Signal. Process."},{"key":"ref_100","doi-asserted-by":"crossref","first-page":"12021","DOI":"10.1088\/1742-6596\/364\/1\/012021","article-title":"A clamping force measurement system for monitoring the condition of bolted joints on railway track joints and points","volume":"364","author":"Tesfa","year":"2012","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_101","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1177\/0954409720906649","article-title":"Monitoring of lateral and cross level track geometry irregularities through onboard vehicle dynamics measurements using machine learning classification algorithms","volume":"235","author":"Kulkarni","year":"2021","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_102","doi-asserted-by":"crossref","first-page":"88","DOI":"10.1016\/j.ijfatigue.2015.07.004","article-title":"Condition monitoring of railway axles based on low frequency vibrations","volume":"86","author":"Rolek","year":"2016","journal-title":"Int. J. Fatigue"},{"key":"ref_103","doi-asserted-by":"crossref","unstructured":"Elia, M., Diana, G., Bocciolone, M., Bruni, S., Cheli, F., Collina, A., and Resta, F. (2006, January 29\u201330). Condition monitoring of the railway line and overhead equipment through onboard train measurement\u2014An Italian experience. Proceedings of the 2006 IET International Conference on Railway Condition Monitoring, Birmingham, UK.","DOI":"10.1049\/ic:20060052"},{"key":"ref_104","doi-asserted-by":"crossref","unstructured":"Gritli, Y., Bellini, A., Rossi, C., Casadei, D., Filippetti, F., and Capolino, G.-A. (September, January 29). Condition monitoring of mechanical faults in induction machines from electrical signatures: Review of different techniques. Proceedings of the 2017 IEEE 11th International Symposium on Diagnostics for Electrical Machines, Power Electronics and Drives (SDEMPED 2017), Tinos, Greece.","DOI":"10.1109\/DEMPED.2017.8062337"},{"key":"ref_105","doi-asserted-by":"crossref","first-page":"1707","DOI":"10.1109\/TIE.2011.2106094","article-title":"Torsional-vibration assessment and gear-fault diagnosis in railway traction system","volume":"58","author":"Henao","year":"2011","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_106","doi-asserted-by":"crossref","unstructured":"Kia, S.H., Henao, H., and Capolino, G.-A. (2009, January 20\u201324). Mechanical transmission and torsional vibration effects on induction machine stator current and torque in railway traction systems. Proceedings of the 2009 IEEE Energy Conversion Congress and Exposition (ECCE 2009), San Jose, CA, USA.","DOI":"10.1109\/ECCE.2009.5316378"},{"key":"ref_107","doi-asserted-by":"crossref","unstructured":"Kia, S.H., Henao, H., and Capolino, G.-A. (September, January 31). Torsional vibration assessment in railway traction system mechanical transmission. Proceedings of the 2009 IEEE International Symposium on Diagnostics for Electric Machines, Power Electronics and Drives (SDEMPED 2009), Cargese, France.","DOI":"10.1109\/DEMPED.2009.5292750"},{"key":"ref_108","doi-asserted-by":"crossref","unstructured":"Kia, S.H., Henao, H., and Capolino, G.-A. (2008, January 6\u20139). Non-stationary condition torsional vibration monitoring using induction machine electromagnetic torque estimation. Proceedings of the 2008 International Conference on Electrical Machines (ICEM\u201908), Vilamoura, Portugal.","DOI":"10.1109\/ICELMACH.2008.4800056"},{"key":"ref_109","unstructured":"Kia, S.H., Henao, H., and Capolino, G.-A. (2008, January 5\u20137). Mechanical health assessment of a railway traction system. Proceedings of the Mediterranean Electrotechnical Conference\u2014MELECON, Ajaccio, France."},{"key":"ref_110","doi-asserted-by":"crossref","first-page":"1604","DOI":"10.1080\/00423114.2017.1423090","article-title":"Bolster spring fault detection strategy for heavy haul wagons","volume":"56","author":"Li","year":"2018","journal-title":"Veh. Syst. Dyn."},{"key":"ref_111","unstructured":"Wanming, Z., Kelvin, C.P., and Wang, P.E. (2018). Laser based inspection and monitoring of rails\u2014A finite element analysis. ICRT 2017: Railway Development, Operations, and Maintenance, Proceedings of the 1st International Conference on Rail Transportation 2017, Chengdu, Sichuan Province, China, 10\u201312 July 2017, ASCE."},{"key":"ref_112","doi-asserted-by":"crossref","first-page":"317","DOI":"10.1007\/978-3-319-78795-4_22","article-title":"Challenges and solutions for integrating simulation into a transportation device","volume":"Volume 10711","author":"Bosomworth","year":"2018","journal-title":"Intersections in Simulation and Gaming"},{"key":"ref_113","unstructured":"Thomas, A., Cole, C., and Bosomworth, C. (2009, January 22\u201325). A Train Health Advisory System for freight trains. Proceedings of the 9th International Heavy Haul Conference: \u201cHeavy Haul and Innovation Development\u201d, Shanghai, China."},{"key":"ref_114","first-page":"1228","article-title":"Residual-based Fault Detection Method: Application to Railway Switch & Crossing (S&C)","volume":"10","author":"Hamadache","year":"2019","journal-title":"Syst. Int. Conf. Control. Autom. Syst."},{"key":"ref_115","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1177\/0954409713503634","article-title":"Real time detection of low adhesion in the wheel\/rail contact","volume":"227","author":"Hubbard","year":"2013","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit"},{"key":"ref_116","doi-asserted-by":"crossref","first-page":"1797","DOI":"10.1080\/00423114.2012.707782","article-title":"Adhesion estimation at the wheel-rail interface using advanced model-based filtering","volume":"50","author":"Ward","year":"2012","journal-title":"Veh. Syst. Dyn."},{"key":"ref_117","doi-asserted-by":"crossref","unstructured":"Ward, C.P., Goodall, R., Dixon, R., and Charles, G. (2011, January 29\u201330). Use of real time creep force estimation data for assessment of low adhesion in the wheel\/rail contact. Proceedings of the 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011), Derby, UK.","DOI":"10.1049\/cp.2011.0614"},{"key":"ref_118","first-page":"1178","article-title":"Condition monitoring of rail vehicle bogies","volume":"2010","author":"Ward","year":"2010","journal-title":"IET Semin. Dig."},{"key":"ref_119","first-page":"1184","article-title":"Wheel-rail profile condition monitoring","volume":"2010","author":"Ward","year":"2010","journal-title":"IET Semin. Dig."},{"key":"ref_120","doi-asserted-by":"crossref","first-page":"3536","DOI":"10.1109\/TIM.2018.2881529","article-title":"Entropy-Based Local Irregularity Detection for High-Speed Railway Catenaries with Frequent Inspections","volume":"68","author":"Wang","year":"2019","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_121","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/j.measurement.2018.04.094","article-title":"In situ measurements of the crossing vibrations of a railway turnout","volume":"125","author":"Boogaard","year":"2018","journal-title":"Meas. J. Int. Meas. Confed."},{"key":"ref_122","first-page":"663","article-title":"Intelligent condition monitoring of railway catenary systems: A bayesian network approach","volume":"Volume 2","author":"Spiryagin","year":"2018","journal-title":"Proceedings of the 25th International Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2017)"},{"key":"ref_123","doi-asserted-by":"crossref","first-page":"4017006","DOI":"10.1061\/(ASCE)IS.1943-555X.0000357","article-title":"Robust and predictive fuzzy key performance indicators for condition-based treatment of squats in railway infrastructures","volume":"23","author":"Jamshidi","year":"2017","journal-title":"J. Infrastruct. Syst."},{"key":"ref_124","doi-asserted-by":"crossref","first-page":"e1848","DOI":"10.1002\/stc.1848","article-title":"Monitoring bolt tightness of rail joints using axle box acceleration measurements","volume":"24","author":"Oregui","year":"2017","journal-title":"Struct. Control. Health Monit."},{"key":"ref_125","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1016\/j.engstruct.2016.05.018","article-title":"Health condition monitoring of insulated joints based on axle box acceleration measurements","volume":"123","author":"Molodova","year":"2016","journal-title":"Eng. Struct."},{"key":"ref_126","doi-asserted-by":"crossref","unstructured":"N\u00fa\u00f1ez, A., Hendriks, J., Li, Z., De Schutter, B., and Dollevoet, R. (2014, January 27\u201330). Facilitating maintenance decisions on the Dutch railways using big data: The ABA case study. Proceedings of the 2014 IEEE International Conference on Big Data, IEEE Big Data, Washington, DC, USA.","DOI":"10.1109\/BigData.2014.7004431"},{"key":"ref_127","doi-asserted-by":"crossref","first-page":"673","DOI":"10.1007\/978-3-319-24264-4_46","article-title":"Model predictive control for maintenance operations planning of railway infrastructures","volume":"Volume 9335","author":"Su","year":"2015","journal-title":"Computational Logistics"},{"key":"ref_128","doi-asserted-by":"crossref","first-page":"841","DOI":"10.1177\/0954409714523583","article-title":"Parametric study of axle box acceleration at squats","volume":"229","author":"Molodova","year":"2015","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_129","doi-asserted-by":"crossref","unstructured":"Molodova, M., Oregui, M., N\u00fa\u00f1ez, A., Li, Z., Moraal, J., and Dollevoet, R. (2014, January 8\u201311). Axle box acceleration for health monitoring of insulated joints: A case study in the Netherlands. Proceedings of the 17th IEEE International Conference on Intelligent Transportation Systems (ITSC 2014), Qingdao, China.","DOI":"10.1109\/ITSC.2014.6957791"},{"key":"ref_130","first-page":"2879","article-title":"An investigation of the possibility to use axle box acceleration for condition monitoring of welds","volume":"Volume 5","author":"Molodova","year":"2008","journal-title":"Proceedings of the 23rd International Conference on Noise and Vibration Engineering 2008 (ISMA 2008)"},{"key":"ref_131","doi-asserted-by":"crossref","first-page":"702","DOI":"10.1177\/0954409719866368","article-title":"Monitoring of the technical condition of tracks based on machine learning","volume":"234","author":"Firlik","year":"2020","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_132","first-page":"1926","article-title":"Condition monitoring system for a light rail vehicle","volume":"Volume 3","author":"Czechyra","year":"2012","journal-title":"Proceedings of the 19th International Congress on Sound and Vibration 2012 (ICSV 2012)"},{"key":"ref_133","doi-asserted-by":"crossref","first-page":"66","DOI":"10.4028\/www.scientific.net\/KEM.518.66","article-title":"Condition monitoring system for light rail vehicle and track","volume":"518","author":"Firlik","year":"2012","journal-title":"Key Eng. Mater."},{"key":"ref_134","unstructured":"Pombo, J. (2020, January 7\u201310). Condition monitoring algorithms for light rail vehicle suspension. Proceedings of the First International Conference on Railway Technology: Research, Development and Maintenance, Palma de Mallorca, Spain. Paper 128."},{"key":"ref_135","doi-asserted-by":"crossref","unstructured":"Firlik, B., and Tabaszewski, M. (2012, January 5\u20137). Dynamical problems in condition monitoring of a light rail vehicle. Proceedings of the Mini Conference on Vehicle System Dynamics, Identification and Anomalies, Hungary, Budapest.","DOI":"10.4028\/www.scientific.net\/KEM.518.409"},{"key":"ref_136","doi-asserted-by":"crossref","first-page":"409","DOI":"10.4028\/www.scientific.net\/KEM.518.409","article-title":"Vibration-based symptoms in condition monitoring of a light rail vehicle","volume":"518","author":"Firlik","year":"2012","journal-title":"Key Eng. Mater."},{"key":"ref_137","doi-asserted-by":"crossref","unstructured":"Kumar, U., Ahmadi, A., Verma, A., and Varde, P. (2016). Context-Based Maintenance and Repair Shop Suggestion for a Moving Vehicle. Current Trends in Reliability, Availability, Maintainability and Safety. Lecture Notes in Mechanical Engineering, Springer.","DOI":"10.1007\/978-3-319-23597-4"},{"key":"ref_138","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1016\/j.measurement.2015.01.015","article-title":"Context awareness for maintenance decision making: A diagnosis and prognosis approach","volume":"67","author":"Galar","year":"2015","journal-title":"Meas. J. Int. Meas. Confed."},{"key":"ref_139","doi-asserted-by":"crossref","first-page":"395","DOI":"10.1784\/insi.2015.57.7.395","article-title":"Synthetic data generation in hybrid modelling of rolling element bearings","volume":"57","author":"Leturiondo","year":"2015","journal-title":"Insight: Non-Destr. Test. Cond. Monit."},{"key":"ref_140","first-page":"774","article-title":"Fault detection of Railway EMC problems using MATLAB models","volume":"Volume 2","author":"Rodriguez","year":"2014","journal-title":"Proceedings of the 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2013 (CM 2013 and MFPT 2013)"},{"key":"ref_141","first-page":"451","article-title":"Rolling stock condition monitoring using wheel\/rail forces","volume":"54","author":"Palo","year":"2012","journal-title":"Insight Non-Destr. Test. Cond. Monit."},{"key":"ref_142","doi-asserted-by":"crossref","unstructured":"Gao, R., He, Q., Feng, Q., and Cui, J. (2020). In-Service Detection and Quantification of Railway Wheel Flat by the Reflective Optical Position Sensor. Sensors, 20.","DOI":"10.3390\/s20174969"},{"key":"ref_143","doi-asserted-by":"crossref","first-page":"838","DOI":"10.1177\/1475921718782395","article-title":"Health monitoring of urban rail corrugation by wireless rechargeable sensor nodes","volume":"18","author":"Lu","year":"2019","journal-title":"Struct. Health Monit."},{"key":"ref_144","doi-asserted-by":"crossref","unstructured":"Gao, M., Li, Y., Lu, J., Wang, Y., Wang, P., and Wang, L. (2018). Condition monitoring of urban rail transit by local energy harvesting International. J. Distrib. Sens. Netw., 14.","DOI":"10.1177\/1550147718814469"},{"key":"ref_145","doi-asserted-by":"crossref","first-page":"900","DOI":"10.1109\/TITS.2017.2709346","article-title":"Self-Powered ZigBee Wireless Sensor Nodes for Railway Condition Monitoring","volume":"19","author":"Gao","year":"2018","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_146","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.undsp.2017.10.002","article-title":"Smart monitoring of underground railway by local energy generation","volume":"2","author":"Gao","year":"2017","journal-title":"Undergr. Space"},{"key":"ref_147","doi-asserted-by":"crossref","first-page":"4301","DOI":"10.1109\/TIE.2012.2183834","article-title":"Prognostics health management of electronic systems under mechanical shock and vibration using Kalman filter models and metrics","volume":"59","author":"Lall","year":"2012","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_148","doi-asserted-by":"crossref","first-page":"858","DOI":"10.1109\/TR.2012.2220698","article-title":"Extended Kalman filter models and resistance spectroscopy for prognostication and health monitoring of leadfree electronics under vibration","volume":"61","author":"Lall","year":"2012","journal-title":"IEEE Trans. Reliab."},{"key":"ref_149","doi-asserted-by":"crossref","unstructured":"Lall, P., Lowe, R., and Goebel, K. (2011, January 20\u201323). Extended Kalman Filter models and resistance spectroscopy for prognostication and health monitoring of leadfree electronics under vibration. Proceedings of the 2011 IEEE International Conference on Prognostics and Health Management (PHM 2011), Denver, USA.","DOI":"10.1109\/ICPHM.2011.6024324"},{"key":"ref_150","doi-asserted-by":"crossref","unstructured":"Lall, P., Lowe, R., and Goebel, K. (2011, January 8\u201320). Prognostics and health monitoring of electronic systems. Proceedings of the 12th International Conference on Thermal, Mechanical and Multi-Physics Simulation and Experiments in Microelectronics and Microsystems (EuroSimE 2011), Linz, Austria. 5765855.","DOI":"10.1109\/ESIME.2011.5765855"},{"key":"ref_151","doi-asserted-by":"crossref","unstructured":"Lall, P., Lowe, R., and Goebel, K. (2010, January 1\u20134). Prognostics using Kalman-Filter models and metrics for risk assessment in BGAs under shock and vibration loads. Proceedings of the Electronic Components and Technology Conference 2010, Las Vegas, NV, USA. 5490691.","DOI":"10.1109\/ECTC.2010.5490691"},{"key":"ref_152","doi-asserted-by":"crossref","unstructured":"Roberts, C., and Goodall, R. (2009). Strategies and techniques for safety and performance monitoring on railways. IFAC Proc. Vol. IFAC-Pap., 746\u2013755.","DOI":"10.3182\/20090630-4-ES-2003.00123"},{"key":"ref_153","doi-asserted-by":"crossref","first-page":"75","DOI":"10.1243\/0954409JRRT65","article-title":"Monitoring vertical track irregularity from in-service railway vehicles","volume":"221","author":"Weston","year":"2007","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_154","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1243\/0954409JRRT64","article-title":"Monitoring lateral track irregularity from in-service railway vehicles","volume":"221","author":"Weston","year":"2007","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_155","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.conengprac.2006.02.021","article-title":"Estimation of railway vehicle suspension parameters for condition monitoring","volume":"15","author":"Li","year":"2007","journal-title":"Control. Eng. Pract."},{"key":"ref_156","doi-asserted-by":"crossref","unstructured":"Weston, P., Roberts, C., Goodman, C.J., and Ling, C.S. (2006, January 29\u201330). Condition monitoring of railway track using in-service trains. Proceedings of the 2006 IET International Conference on Railway Condition Monitoring, Birmingham, UK.","DOI":"10.1049\/ic:20060038"},{"key":"ref_157","doi-asserted-by":"crossref","first-page":"727","DOI":"10.1049\/ip-cta:20041008","article-title":"Estimation of parameters in a linear state space model using a Rao-Blackwellised particle filter","volume":"151","author":"Li","year":"2004","journal-title":"IEE Proc. Control. Theory Appl."},{"key":"ref_158","first-page":"271","article-title":"Use of parameter estimation for the detection and diagnosis of faults on electric train door systems","volume":"223","author":"Dassanayake","year":"2009","journal-title":"Proc. Inst. Mech. Eng. Part O J. Risk Reliab."},{"key":"ref_159","doi-asserted-by":"crossref","first-page":"47","DOI":"10.1080\/1023697X.2006.10668031","article-title":"Track and vehicle condition monitoring during normal operation using reduced sensor sets","volume":"13","author":"Weston","year":"2006","journal-title":"HKIE Trans. Hong Kong Inst. Eng."},{"key":"ref_160","first-page":"271","article-title":"Futuristic railway condition monitoring system","volume":"2008","author":"Ho","year":"2008","journal-title":"IET Semin. Dig."},{"key":"ref_161","doi-asserted-by":"crossref","unstructured":"Ho, T.K., Liu, S.Y., Ho, Y.T., Ho, K.H., Wong, K.K., Lee, K.Y., Tam, H.Y., and Ho, S.L. (2008). Signature analysis on wheel-rail interaction for rail defect detection. IET Semin. Dig., 2008.","DOI":"10.1049\/ic:20080342"},{"key":"ref_162","doi-asserted-by":"crossref","unstructured":"Ho, S.L., Lee, K.K., Lee, K.Y., Tam, H.Y., Chung, W.H., Liu, S.Y., Yip, C.M., and Ho, T.K. (2006, January 29\u201330). A comprehensive condition monitoring of modern railway. Proceedings of the 2006 IET International Conference on Railway Condition Monitoring, Birmingham, UK.","DOI":"10.1049\/ic:20060056"},{"key":"ref_163","doi-asserted-by":"crossref","unstructured":"Ho, S.L., Tsang, W.F.S., Lee, K.K., Lee, K.Y., Lai, W.L.W., Tam, H.Y., and Ho, T.K. (2006, January 29\u201330). Monitoring of the vertical movements of rail sleepers with the passage of trains. Proceedings of the 2006 IET International Conference on Railway Condition Monitoring, Birmingham, UK.","DOI":"10.1049\/ic:20060053"},{"key":"ref_164","unstructured":"Shi, S., Huang, Z., Kaewunruen, S., Vallely, P., Soua, S., and Papaelias, M. (2017, January 13\u201316). Remote condition monitoring of structural integrity of rails and crossings. Proceedings of the WCCM 2017\u20141st World Congress on Condition Monitoring 2017, London, UK."},{"key":"ref_165","unstructured":"Huang, Z., Papaelias, M., and Lang, Z.Q. (2017, January 13\u201316). Wayside detection of axle bearing faults in rolling stock through correlation signal processing. Proceedings of the WCCM 2017\u20141st World Congress on Condition Monitoring 2017, London, UK."},{"key":"ref_166","doi-asserted-by":"crossref","first-page":"709","DOI":"10.1177\/0954409714559758","article-title":"Online condition monitoring of rolling stock wheels and axle bearings","volume":"230","author":"Papaelias","year":"2016","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_167","unstructured":"Huang, Z., Amini, A., Wang, L., Kerkyras, S., and Papaelias, M. (2014, January 10\u201312). Online evaluation of railway axle bearing faults using acoustic emission and vibration analysis. Proceedings of the 11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2014\/MFPT 2014), Manchester, UK."},{"key":"ref_168","unstructured":"Huang, Z., Papaelias, M., and Lang, Z.Q. (2014, January 10\u201312). Wayside detection of axle bearing faults in rolling stock through correlation signal processing. Proceedings of the 11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2014\/MFPT 2014), Manchester, UK."},{"key":"ref_169","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1016\/j.engfailanal.2019.06.086","article-title":"Evaluation of remaining fatigue life of concrete sleeper based on field loading conditions","volume":"105","author":"You","year":"2019","journal-title":"Eng. Fail. Anal."},{"key":"ref_170","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1016\/j.engstruct.2018.10.058","article-title":"Flexural cracking-induced acoustic emission peak frequency shift in railway prestressed concrete sleepers","volume":"178","author":"Janeliukstis","year":"2019","journal-title":"Eng. Struct."},{"key":"ref_171","first-page":"3839","article-title":"Impact responses of railway concrete sleepers with surface abrasions","volume":"Volume 6","author":"Kaewunruen","year":"2018","journal-title":"Proceedings of the 25th International Congress on Sound and Vibration 2018, ICSV 2018: Hiroshima Calling"},{"key":"ref_172","doi-asserted-by":"crossref","first-page":"32048","DOI":"10.1088\/1757-899X\/245\/3\/032048","article-title":"Impact Capacity Reduction in Railway Prestressed Concrete Sleepers with Surface Abrasions","volume":"245","author":"Ngamkhanong","year":"2017","journal-title":"IOP Conf. Ser. Mater. Sci. Eng."},{"key":"ref_173","unstructured":"Leighton, T., Blauert, J., Hu, H., Voix, J., and Heller, E. (2017, January 23\u201327). Influences of surface abrasions on dynamic behaviours of railway concrete sleepers. Proceedings of the 24th International Congress on Sound and Vibration (ICSV 2017), London, UK."},{"key":"ref_174","doi-asserted-by":"crossref","first-page":"6023","DOI":"10.1109\/TII.2020.2973231","article-title":"Complex Fuzzy System Based Predictive Maintenance Approach in Railways","volume":"16","author":"Karakose","year":"2020","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_175","doi-asserted-by":"crossref","unstructured":"Yaman, O., and Karakose, M. (2018, January 28\u201330). Complex Fuzzy Automata Based Fault Detection Approach Using Thermal Images in Railways. Proceedings of the 2018 International Conference on Artificial Intelligence and Data Processing (IDAP 2018), Malatya, Turkey.","DOI":"10.1109\/IDAP.2018.8620771"},{"key":"ref_176","doi-asserted-by":"crossref","first-page":"555","DOI":"10.3846\/16484142.2017.1342101","article-title":"Condition monitoring of railway track systems by using acceleration signals on wheelset axle-boxes","volume":"33","author":"Chudzikiewicz","year":"2018","journal-title":"Transport"},{"key":"ref_177","doi-asserted-by":"crossref","first-page":"1850","DOI":"10.21595\/jve.2018.19367","article-title":"Analysis of selected acceleration signals measurements obtained during supervised service conditions\u2014Study of hitherto approach","volume":"20","author":"Kostrzewski","year":"2018","journal-title":"J. Vibroeng."},{"key":"ref_178","doi-asserted-by":"crossref","first-page":"153","DOI":"10.21595\/vp.2017.18958","article-title":"Analysis of selected vibroacoustic signals recorded on EMU vehicle running on chosen routes under supervised operating conditions","volume":"13","author":"Kostrzewski","year":"2017","journal-title":"Vibroeng. Procedia"},{"key":"ref_179","unstructured":"Chudzikiewicz, A., Bogacz, R., and Kostrzewski, M. (2014, January 8\u201311). Using acceleration signals recorded on a railway vehicle wheelsets for rail track condition monitoring. Proceedings of the 7th European Workshop on Structural Health Monitoring, EWSHM 2014\u20142nd European Conference of the Prognostics and Health Management (PHM) Society, Nantes, France."},{"key":"ref_180","doi-asserted-by":"crossref","first-page":"281","DOI":"10.4028\/www.scientific.net\/KEM.518.281","article-title":"Rail vehicle\u2019s suspension monitoring system\u2014Analysis of results obtained in tests of the prototype","volume":"518","author":"Melnik","year":"2012","journal-title":"Key Eng. Mater."},{"key":"ref_181","doi-asserted-by":"crossref","first-page":"1457","DOI":"10.1177\/0954409715592189","article-title":"Measuring and monitoring operational availability of rail infrastructure","volume":"230","author":"Parida","year":"2016","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_182","first-page":"1057","article-title":"Comparative study of track geometry quality prediction models","volume":"Volume 2","author":"Famurewa","year":"2014","journal-title":"Proceedings of the 10th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2013 (CM 2013 and MFPT 2013)"},{"key":"ref_183","first-page":"560","article-title":"Condition monitoring of rolling stock using wheel\/rail forces","volume":"Volume 1","author":"Palo","year":"2012b","journal-title":"Proceedings of the 9th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies (CM 2012 and MFPT 2012)"},{"key":"ref_184","first-page":"36","article-title":"Condition monitoring of railway switches and crossing by using data from track recording cars","volume":"13","author":"Nissen","year":"2010","journal-title":"Int. J. COMADEM"},{"key":"ref_185","doi-asserted-by":"crossref","first-page":"947","DOI":"10.1109\/TITS.2019.2900385","article-title":"Defect detection of pantograph slide based on deep learning and image processing technology","volume":"21","author":"Wei","year":"2020","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_186","doi-asserted-by":"crossref","first-page":"61973","DOI":"10.1109\/ACCESS.2020.2984264","article-title":"Multi-target defect identification for railway track line based on image processing and improved YOLOv3 model","volume":"8","author":"Wei","year":"2020","journal-title":"IEEE Access"},{"key":"ref_187","doi-asserted-by":"crossref","first-page":"103099","DOI":"10.1016\/j.tust.2019.103099","article-title":"Evaluation of structural fatigue properties of metro tunnel by model test under dynamic load of high-speed railway","volume":"93","author":"Qian","year":"2019","journal-title":"Tunn. Undergr. Space Technol."},{"key":"ref_188","doi-asserted-by":"crossref","unstructured":"Chen, C., Xu, T., and Zhang, Z. (2019, January 26\u201328). Health condition assessment of railway turnout based on stacked sparse auto encoder. Proceedings of the2019 4th International Conference on Electromechanical Control Technology and Transportation ICECTT 2019, Guilin, China.","DOI":"10.1109\/ICECTT.2019.00044"},{"key":"ref_189","unstructured":"De Natale, F.G.B., and del Bimbo, A. (, January April). Component-based track inspection using machine-vision technology. Proceedings of the 1st ACM International Conference on Multimedia Retrieval (ICMR\u201911), Trento, Italy."},{"key":"ref_190","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1177\/1475921719834506","article-title":"Experimental and numerical investigation of the performance of self-sensing concrete sleepers","volume":"19","author":"Xu","year":"2020","journal-title":"Struct. Health Monit."},{"key":"ref_191","unstructured":"Klomp, M., Bruzelius, F., Nielsen, J., and Hillemyr, A. (2020). A Novel Method for Railway Crossing Monitoring Based on Ambient Vibration Caused by Train-Track Interaction. Advances in Dynamics of Vehicles on Roads and Tracks. IAVSD 2019. Lecture Notes in Mechanical Engineering, Springer."},{"key":"ref_192","doi-asserted-by":"crossref","unstructured":"Boogaard, M.A., Schwab, A.L., and Li, Z. (2014, January 17\u201320). Dynamic impact measurements on crossings, in free floating and in-situ conditions. Proceedings of the ASME Design Engineering Technical Conference 2014, Buffalo, NY, USA.","DOI":"10.1115\/DETC2014-35053"},{"key":"ref_193","doi-asserted-by":"crossref","unstructured":"Liu, X., and Markine, V.L. (2020). Train hunting related fast degradation of a railway crossing-condition monitoring and numerical verification. Sensors, 20.","DOI":"10.3390\/s20082278"},{"key":"ref_194","doi-asserted-by":"crossref","first-page":"22016","DOI":"10.1088\/1757-899X\/688\/2\/022016","article-title":"Development of Rail Precision Cleaning Vehicle for Modern Tramway","volume":"688","author":"Dong","year":"2019","journal-title":"IOP Conf. Ser. Mater. Sci. Eng."},{"key":"ref_195","doi-asserted-by":"crossref","unstructured":"Liu, X., and Markine, V.L. (2019). Correlation analysis and verification of railway crossing condition monitoring. Sensors, 19.","DOI":"10.3390\/s19194175"},{"key":"ref_196","doi-asserted-by":"crossref","first-page":"424","DOI":"10.1016\/j.measurement.2018.07.062","article-title":"Experimental tools for railway crossing condition monitoring (crossing condition monitoring tools)","volume":"129","author":"Liu","year":"2018","journal-title":"Meas. J. Int. Meas. Confed."},{"key":"ref_197","unstructured":"Liu, X., Markine, V.L., and Shevtsov, I.Y. (2016, January 27\u201328). A performance study of railway crossings in facing and trailing directions. Proceedings of the 7th IET Conference on Railway Condition Monitoring 2016 (RCM 2016), Birmingham, UK."},{"key":"ref_198","unstructured":"Pombo, J. (2014, January 8\u201311). Dynamic experimental tools for condition monitoring of railway turnout crossing. Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance, Ajaccio, France."},{"key":"ref_199","unstructured":"Pombo, J. (2014, January 8\u201311). Experimental analysis of the dynamic behaviour of a railway track in transition zones. Proceedings of the 2nd International Conference on Railway Technology: Research, Development and Maintenance, Stirlingshire, Ajaccio, France. 105."},{"key":"ref_200","doi-asserted-by":"crossref","unstructured":"Ichiyanagi, Y., Michitsuji, Y., Matsumoto, A., Sato, Y., Ohno, H., Yamaguchi, D., Tanimoto, M., Matsuda, T., and Matsumi, T. (2019). Estimation of Friction Coefficient Between Outside Wheel Flange and Rail Considering Influence of Wheel\/Rail Wear. Advances in Dynamics of Vehicles on Roads and Tracks, Springer.","DOI":"10.1007\/978-3-030-38077-9_76"},{"key":"ref_201","unstructured":"Li, Z., Berg, M., Fletcher, D., Meehan, P., and N\u00fa\u00f1ez, A. (2018, January 24\u201327). Condition monitoring system based on wheel-rail contact forces. Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail\/wheel Systems (CM 2018), Delft, The Netherlands."},{"key":"ref_202","first-page":"987","article-title":"Development of the condition monitoring tool based on wheel-rail contact forces collected by the PQ monitoring bogie","volume":"2","author":"Ichiyanagi","year":"2018","journal-title":"Dyn. Veh. Roads Tracks"},{"key":"ref_203","doi-asserted-by":"crossref","first-page":"349","DOI":"10.1080\/00423114.2012.669130","article-title":"Continuous observation of wheel\/rail contact forces in curved track and theoretical considerations","volume":"50","author":"Matsumoto","year":"2012","journal-title":"Veh. Syst. Dyn."},{"key":"ref_204","doi-asserted-by":"crossref","unstructured":"Tsunashima, H., Naganuma, Y., Matsumoto, A., Mizuma, T., and Mori, H. (2011, January 29\u201330). Japanese railway condition monitoring of tracks using in-service vehicle. Proceedings of the 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011), Derby, UK.","DOI":"10.1049\/cp.2011.0587"},{"key":"ref_205","doi-asserted-by":"crossref","unstructured":"Tsunashima, H., Kojima, T., Marumo, Y., Matsumoto, A., and Mizuma, T. (2008). Condition monitoring of railway track and driver using in-service vehicle. IET Semin. Dig., 2008.","DOI":"10.1049\/ic:20080320"},{"key":"ref_206","first-page":"6","article-title":"Condition monitoring of railway tracks using in-service vehicles\u2014Development of probe system for track condition monitoring","volume":"161","author":"Tsunashima","year":"2008","journal-title":"Jpn. Railw. Eng."},{"key":"ref_207","doi-asserted-by":"crossref","unstructured":"Matsumoto, A., Sato, Y., Ohno, H., Tomeoka, M., Matsumoto, K., Kurihara, J., Ogino, T., Tanimoto, M., Kishimoto, Y., and Sato, Y. (2006, January 29\u201330). A new monitoring method of train derailment coefficient. Proceedings of the 2006 IET International Conference on Railway Condition Monitoring, Birmingham, UK.","DOI":"10.1049\/ic:20060058"},{"key":"ref_208","unstructured":"Pombo, J. (2014, January 8\u201311). Railway vehicle optimisation using the concept of \u201cDesign for control\u201d. Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance, Ajaccio, France. Paper 321."},{"key":"ref_209","doi-asserted-by":"crossref","unstructured":"Mei, T.X., and Ding, X.J. (2008, January 18\u201320). New condition monitoring techniques for vehicle suspensions. Proceedings of the 4th IET International Conference on Railway Condition Monitoring, Derby, UK.","DOI":"10.1049\/ic:20080345"},{"key":"ref_210","doi-asserted-by":"crossref","first-page":"277","DOI":"10.1080\/00423110801939154","article-title":"A model-less technique for the fault detection of rail vehicle suspensions","volume":"46","author":"Mei","year":"2008","journal-title":"Veh. Syst. Dyn."},{"key":"ref_211","doi-asserted-by":"crossref","unstructured":"M\u00e1rquez, F.P.G., Marug\u00e1n, A.P., P\u00e9rez, J.M.P., Hillmansen, S., and Papaelias, M. (2017). Optimal dynamic analysis of electrical\/electronic components in wind turbines. Energies, 10.","DOI":"10.3390\/en10081111"},{"key":"ref_212","doi-asserted-by":"crossref","first-page":"869","DOI":"10.1016\/j.renene.2015.09.038","article-title":"Identification of critical components of wind turbines using FTA over the time","volume":"87","author":"Papaelias","year":"2016","journal-title":"Renew. Energy"},{"key":"ref_213","doi-asserted-by":"crossref","first-page":"878","DOI":"10.1080\/00207721.2013.801090","article-title":"New methods for the condition monitoring of level crossings International","volume":"46","author":"Pedregal","year":"2015","journal-title":"J. Syst. Sci."},{"key":"ref_214","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1080\/08982112.2014.933980","article-title":"B-spline approach for failure detection and diagnosis on railway point mechanisms case study","volume":"27","author":"Tobias","year":"2015","journal-title":"Qual. Eng."},{"key":"ref_215","doi-asserted-by":"crossref","first-page":"169","DOI":"10.1016\/j.renene.2012.03.003","article-title":"Condition monitoring of wind turbines: Techniques and methods","volume":"46","author":"Tobias","year":"2012","journal-title":"Renew. Energy"},{"key":"ref_216","doi-asserted-by":"crossref","unstructured":"Marug\u00e1n, A.P., M\u00e1rquez, F.P.G., and Pinar P\u00e9rez, J.M. (2016). Optimal maintenance management of offshore wind farms. Energies, 9.","DOI":"10.3390\/en9010046"},{"key":"ref_217","doi-asserted-by":"crossref","first-page":"1014","DOI":"10.1080\/00207720903045809","article-title":"A pattern recognition and data analysis method for maintenance management","volume":"43","year":"2012","journal-title":"Int. J. Syst. Sci."},{"key":"ref_218","first-page":"3","article-title":"A review of wind turbine maintenance management procedures","volume":"Volume 1","author":"Singh","year":"2011","journal-title":"Proceedings of the 8th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies 2011 (CM 2011\/MFPT 2011)"},{"key":"ref_219","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1243\/09544097JRRT352","article-title":"A pragmatic approach to the condition monitoring of hydraulic level crossing barriers","volume":"224","author":"Roberts","year":"2010","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_220","unstructured":"M\u00e1rquez, F.P.G. (2008, January 18\u201320). Binary decision diagrams applied to fault tree analysis. Proceedings of the 4th IET International Conference on Railway Condition Monitoring, Derby, UK."},{"key":"ref_221","doi-asserted-by":"crossref","first-page":"1703","DOI":"10.1016\/j.ejor.2005.10.037","article-title":"Unobserved Component models applied to the assessment of wear in railway points: A case study","volume":"176","author":"Schmid","year":"2007","journal-title":"Eur. J. Oper. Res."},{"key":"ref_222","doi-asserted-by":"crossref","first-page":"1411","DOI":"10.1016\/j.engfailanal.2007.03.005","article-title":"Failure analysis and diagnostics for railway trackside equipment","volume":"14","author":"Weston","year":"2007","journal-title":"Eng. Fail. Anal."},{"key":"ref_223","doi-asserted-by":"crossref","first-page":"1209","DOI":"10.1016\/S0043-1648(03)00214-X","article-title":"Wear assessment employing remote condition monitoring: A case study","volume":"255","author":"Schmid","year":"2003","journal-title":"Wear"},{"key":"ref_224","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1080\/00423114.2014.889836","article-title":"Track geometry estimation from car-body vibration","volume":"52","author":"Tsunashima","year":"2014","journal-title":"Veh. Syst. Dyn."},{"key":"ref_225","first-page":"443","article-title":"Condition monitoring of Shinkansen tracks based on inverse analysis","volume":"10","author":"Kobayashi","year":"2014","journal-title":"Int. J. Perform. Eng."},{"key":"ref_226","first-page":"703","article-title":"Condition monitoring of Shinkansen tracks based on inverse analysis","volume":"33","author":"Kobayashi","year":"2013","journal-title":"Chem. Eng. Trans."},{"key":"ref_227","doi-asserted-by":"crossref","first-page":"683","DOI":"10.2495\/CR080661","article-title":"Digital inertial algorithm for recording track geometry on commercial shinkansen trains","volume":"103","author":"Kobayashi","year":"2008","journal-title":"WIT Trans. Built Environ."},{"key":"ref_228","first-page":"5","article-title":"A case study on railway wheel maintenance management with several layers of contractors","volume":"16","author":"Palo","year":"2013","journal-title":"Int. J. COMADEM"},{"key":"ref_229","first-page":"26","article-title":"Condition monitoring of wheel wear on iron ore wagons","volume":"15","author":"Palo","year":"2012","journal-title":"Int. J. COMADEM"},{"key":"ref_230","doi-asserted-by":"crossref","first-page":"17","DOI":"10.1177\/0954409719831822","article-title":"Perspectives on railway axle bearing condition monitoring","volume":"234","author":"Entezami","year":"2020","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_231","unstructured":"Vallely, P., and Papaelias, M. (2017, January 13\u201316). Integrating remote condition monitoring of railway infrastructure with high speed inspection. Proceedings of the WCCM 2017\u20141st World Congress on Condition Monitoring 2017, London, UK."},{"key":"ref_232","doi-asserted-by":"crossref","unstructured":"Pislaru, C., and Sambo, B. (2014, January 17\u201318). Condition-based monitoring of wheel-rail interface using a novel multibody twin disk rig model. Proceedings of the 6th IET Conference on Railway Condition Monitoring (RCM 2014), Birmingham, UK.","DOI":"10.1049\/cp.2014.1009"},{"key":"ref_233","doi-asserted-by":"crossref","first-page":"125105","DOI":"10.1088\/1361-6501\/ab2b24","article-title":"Train-based differential eddy current sensor system for rail fastener detection","volume":"30","author":"Chandran","year":"2019","journal-title":"Meas. Sci. Technol."},{"key":"ref_234","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1177\/0954409718800567","article-title":"Condition monitoring of railway pantographs to achieve fault detection and fault diagnosis","volume":"234","author":"Xin","year":"2020","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_235","doi-asserted-by":"crossref","first-page":"2681","DOI":"10.1109\/TITS.2018.2881284","article-title":"Maximal Information Coefficient-Based Two-Stage Feature Selection Method for Railway Condition Monitoring","volume":"20","author":"Wen","year":"2019","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_236","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1177\/0954409718795714","article-title":"Use of a 3D model to improve the performance of laser-based railway track inspection","volume":"233","author":"Ye","year":"2019","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_237","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1177\/0954409715619453","article-title":"Developing a life cycle cost model for real-time condition monitoring in railways under uncertainty","volume":"231","author":"Zhang","year":"2017","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_238","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1080\/00423114.2015.1034730","article-title":"Perspectives on railway track geometry condition monitoring from in-service railway vehicles","volume":"53","author":"Weston","year":"2015","journal-title":"Veh. Syst. Dyn."},{"key":"ref_239","unstructured":"Saade, L., Weston, P., and Roberts, C. (2015, January 21\u201323). Preliminary results of monitoring audio frequency track circuits. Proceedings of the Stephenson Conference Research for Railways 2015, London, UK."},{"key":"ref_240","doi-asserted-by":"crossref","unstructured":"Saade, L., Weston, P., and Roberts, C. (2014, January 17\u201318). Deep monitoring of audio frequency track circuits. Proceedings of the 6th IET Conference on Railway Condition Monitoring (RCM 2014), Birmingham, UK.","DOI":"10.1049\/cp.2014.1014"},{"key":"ref_241","unstructured":"Yang, Z., Schmid, F., and Roberts, C. (2014, January 17\u201318). Assessment of railway performance by monitoring land subsidence. Proceedings of the 6th IET Conference on Railway Condition Monitoring (RCM 2014), Birmingham, UK."},{"key":"ref_242","doi-asserted-by":"crossref","unstructured":"Yeo, G.J., Weston, P., and Roberts, C. (2014, January 17\u201318). The utility of continual monitoring of track geometry from an in-service vehicle. Proceedings of the 6th IET Conference on Railway Condition Monitoring (RCM 2014), Birmingham, UK.","DOI":"10.1049\/cp.2014.0997"},{"key":"ref_243","doi-asserted-by":"crossref","unstructured":"Kim, H., Saade, L., Weston, P., and Roberts, C. (2014, January 17\u201318). Measuring the deflection of a sequence of sleepers at a transition zone. Proceedings of the 6th IET Conference on Railway Condition Monitoring (RCM 2014), Birmingham, UK.","DOI":"10.1049\/cp.2014.1019"},{"key":"ref_244","doi-asserted-by":"crossref","unstructured":"Green, S.R., Hickson, D., Ward, D., Roberts, C., Weston, P., and Stewart, E. (2011, January 29\u201330). Monitoring the DC third rail interface using an in-service train. Proceedings of the 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011), Derby, UK.","DOI":"10.1049\/cp.2011.0588"},{"key":"ref_245","doi-asserted-by":"crossref","unstructured":"Kim, H., Weston, P., Roberts, C., and Priest, J.A. (2011, January 29\u201330). Trackside measurement at railway critical zones using sensors and vehicle-borne instrumentation. Proceedings of the 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011), Derby, UK.","DOI":"10.1049\/cp.2011.0595"},{"key":"ref_246","doi-asserted-by":"crossref","unstructured":"Rowshandel, H., Nicholson, G.L., Davis, C.L., and Roberts, C. (2011, January 29\u201330). A robotic system for non-destructive evaluation of RCF cracks in rails using an ACFM sensor. Proceedings of the 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011), Derby, UK.","DOI":"10.1049\/cp.2011.0611"},{"key":"ref_247","doi-asserted-by":"crossref","first-page":"293","DOI":"10.1243\/09544097JRRT313","article-title":"Improving railway switch system reliability with innovative condition monitoring algorithms","volume":"224","author":"Silmon","year":"2010","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_248","doi-asserted-by":"crossref","first-page":"109","DOI":"10.1007\/s10479-008-0403-5","article-title":"An algorithmic approach for maintenance management based on advanced state space systems and harmonic regressions","volume":"166","author":"Pedregal","year":"2009","journal-title":"Ann. Oper. Res."},{"key":"ref_249","first-page":"129","article-title":"Condition monitoring of audio frequency track circuits","volume":"2008","author":"Weston","year":"2008","journal-title":"IET Semin. Dig."},{"key":"ref_250","doi-asserted-by":"crossref","unstructured":"Weston, P., Stewart, E., Roberts, C., and Hillmansen, S. (2008, January 18\u201320). Measuring the dynamic interaction between electric vehicle shoegear and the third rail. Proceedings of the 4th IET International Conference on Railway Condition Monitoring, Derby, UK.","DOI":"10.1049\/ic:20080003"},{"key":"ref_251","doi-asserted-by":"crossref","first-page":"195","DOI":"10.1243\/09544097JRRT123","article-title":"Decision support at the wheel-rail interface: The development of system functional requirements","volume":"222","author":"Thanh","year":"2008","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_252","first-page":"1366","article-title":"Neuro-fuzzy fault detection and diagnosis for railway track circuits","volume":"6","author":"Chen","year":"2006","journal-title":"IFAC Pap."},{"key":"ref_253","unstructured":"Preece, R.J., Hanif, T.M., Amos, R.J., and Stewart, E.J.C. (2015, January 21\u201323). Deploying a low energy power model within data loggers and sensors for the remote monitoring of assets. Proceedings of the Stephenson Conference Research for Railways 2015, London, UK."},{"key":"ref_254","doi-asserted-by":"crossref","unstructured":"Faghih, A., Constantinou, C., and Stewart, E. (2015, January 26). Path loss on railway wireless condition monitoring system. Proceedings of the IET Colloquium on Antennas, Wireless and Electromagnetics, Birmingham, UK.","DOI":"10.1049\/ic.2015.0098"},{"key":"ref_255","unstructured":"Zobory, I. (2019, January 5\u20137). Vehicle condition monitor system considering vehicle and track maintenance. Proceedings of the Mini Conference on Vehicle System Dynamics, Identification and Anomalies, Budapest, Hungary."},{"key":"ref_256","first-page":"639","article-title":"On-track condition monitoring system for railway vehicle using prediction by big data analytics of running records","volume":"Volume 2","author":"Spiryagin","year":"2018","journal-title":"Proceedings of the 25th International Symposium on Dynamics of Vehicles on Roads and Tracks (IAVSD 2017)"},{"key":"ref_257","unstructured":"Pombo, J. (2016, January 5\u20138). A Study on the Application of Big Data Analytics in Railways Systems. Proceedings of the Third International Conference on Railway Technology, Research, Development and Maintenance, Cagliari, Italy."},{"key":"ref_258","doi-asserted-by":"crossref","unstructured":"Rosenberger, M., Pl\u00f6chl, M., Six, K., and Edelmann, J. (2016b). Study on application of big data analytics of running records in railway systems. The Dynamics of Vehicles on Roads and Tracks, Proceedings of the 24th Symposium of the International Association for Vehicle System Dynamics (IAVSD 2015), Graz, Austria, 17\u201321 August 2015, CRC Press.","DOI":"10.1201\/b21185"},{"key":"ref_259","unstructured":"Zobory, I. (2014, January 10\u201312). Study on the improvement of sign detection system of flange-climb derailment with real-scale wheel climb experiment. Proceedings of the Mini Conference on Vehicle System Dynamics, Identification and Anomalies, Budapest, Hungary."},{"key":"ref_260","unstructured":"Zhang, W., and Jin, X. (2012, January 27\u201330). Experiments to measure stress with the wheel\/rail contact using embedded FBG Sensors. Proceedings of the 9th International Conference on Contact Mechanics and Wear of Rail\/Wheel Systems (CM 2012), Chengdu, China."},{"key":"ref_261","doi-asserted-by":"crossref","unstructured":"Matsumoto, K., and Tanimoto, M. (2018, January 12\u201314). Condition monitoring for the management of running safety in commercial line. Proceedings of the 2018 International Conference on Intelligent Rail Transportation (ICIRT 2018), Singapore.","DOI":"10.1109\/ICIRT.2018.8641643"},{"key":"ref_262","doi-asserted-by":"crossref","first-page":"154","DOI":"10.1299\/jmtl.3.154","article-title":"Condition monitoring of railway track using in-service vehicle","volume":"3","author":"Tsunashima","year":"2010","journal-title":"J. Mech. Syst. Transp. Logist."},{"key":"ref_263","doi-asserted-by":"crossref","first-page":"543","DOI":"10.1007\/s13349-020-00400-9","article-title":"Tracking bridge tilt behaviour using sensor fusion techniques","volume":"10","author":"Faulkner","year":"2020","journal-title":"J. Civil Struct. Health Monit."},{"key":"ref_264","doi-asserted-by":"crossref","unstructured":"Xu, P., Yao, W., Zhao, Y., Yi, C., Li, L., Lin, J., and Tsui, K.L. (2018, January 11\u201313). Condition monitoring of wheel wear for high-speed trains: A data-driven approach. Proceedings of the 2018 IEEE International Conference on Prognostics and Health Management (ICPHM 2018), Seattle, WA, USA.","DOI":"10.1109\/ICPHM.2018.8448864"},{"key":"ref_265","doi-asserted-by":"crossref","first-page":"613","DOI":"10.1080\/00423114.2019.1708008","article-title":"Coupled dynamic behaviour of a transmission system with gear eccentricities for a high-speed train","volume":"59","author":"Wang","year":"2021","journal-title":"Veh. Syst. Dyn."},{"key":"ref_266","doi-asserted-by":"crossref","first-page":"3839191","DOI":"10.1155\/2019\/3839191","article-title":"Investigation on Monitoring System for Pantograph and Catenary Based on Condition-Based Recognition of Pantograph","volume":"2019","author":"Zhou","year":"2019","journal-title":"Shock Vib."},{"key":"ref_267","first-page":"1","article-title":"An Operation Control Strategy for the Connected Maglev Trains Based on Vehicle-Borne Battery Condition Monitoring","volume":"2018","author":"Zhang","year":"2018","journal-title":"Wirel. Commun. Mob. Comput."},{"key":"ref_268","first-page":"32","article-title":"Acceleration sensor technology for rail track asset condition monitoring","volume":"171","author":"Rantala","year":"2018","journal-title":"Proc. Inst. Civil Eng. Manag. Procure. Law"},{"key":"ref_269","first-page":"429","article-title":"New on-line monitoring system of surface defects and profile wear [Neues system mit diagnosefunktionen zur online-\u00fcberwachung von lauffl\u00e4chensch\u00e4den]","volume":"125","year":"2001","journal-title":"ZEV-Z. Fuer Eisenb. Und Verk. J. Railw. Transport."},{"key":"ref_270","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1109\/TIM.2011.2170377","article-title":"A mixed filtering approach for track condition monitoring using accelerometers on the axle box and bogie","volume":"61","author":"Lee","year":"2012","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_271","doi-asserted-by":"crossref","unstructured":"Lee, J.S., Choi, S., Kim, S.S., Kim, Y.G., Kim, S.W., and Park, C. (2011, January 29\u201330). Track condition monitoring by in-service trains: A comparison between axle-box and bogie accelerometers. Proceedings of the 5th IET Conference on Railway Condition Monitoring and Non-Destructive Testing (RCM 2011), Derby, UK.","DOI":"10.1049\/cp.2011.0586"},{"key":"ref_272","doi-asserted-by":"crossref","unstructured":"Chellaswamy, C., Akila, V., Dinesh, B.A., and Arasan, N.K. (2013, January 25\u201326). Fuzzy logic based railway track condition monitoring system 2013. Proceedings of the IEEE International Conference on Emerging Trends in Computing, Communication and Nanotechnology (ICE-CCN 2013), Tirunelveli, India.","DOI":"10.1109\/ICE-CCN.2013.6528503"},{"key":"ref_273","doi-asserted-by":"crossref","unstructured":"Chellaswamy, C., Aishwarya, R., Murthy, S.L.N., and Vigneshwar, C. (2013, January 12\u201314). Green controller for rail track condition monitoring and information system. Proceedings of the 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE 2013), Chennai, India.","DOI":"10.1109\/ICGCE.2013.6823499"},{"key":"ref_274","doi-asserted-by":"crossref","unstructured":"Bagshawe, M.J. (2013, January 4\u20135). Investigating inertial measurements using MEMS devices in trainborne automatic track condition monitoring applications. Proceedings of the IET Conference on Control and Automation 2013: Uniting Problems and Solutions, Birmingham, UK.","DOI":"10.1049\/cp.2013.0010"},{"key":"ref_275","doi-asserted-by":"crossref","first-page":"465","DOI":"10.4028\/www.scientific.net\/AMM.483.465","article-title":"Design of onboard device to diagnose track fault online","volume":"483","author":"Qin","year":"2014","journal-title":"Appl. Mech. Mater."},{"key":"ref_276","doi-asserted-by":"crossref","unstructured":"Xu, X., Zheng, J., Yang, J., Xu, D., and Sun, X. (2016, January 23\u201325). Track irregularity fault identification based on evidence reasoning rule. Proceedings of the 2016 IEEE International Conference on Intelligent Rail Transportation (ICIRT 2016), Birmingham, UK.","DOI":"10.1109\/ICIRT.2016.7588747"},{"key":"ref_277","doi-asserted-by":"crossref","first-page":"144","DOI":"10.1016\/j.knosys.2016.11.001","article-title":"Data classification using evidence reasoning rule","volume":"116","author":"Xu","year":"2017","journal-title":"Knowl. Based Syst."},{"key":"ref_278","doi-asserted-by":"crossref","first-page":"2097","DOI":"10.1177\/0954409718762172","article-title":"Automated processing of railway track deflection signals obtained from velocity and acceleration measurements","volume":"232","author":"Milne","year":"2018","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_279","first-page":"105","article-title":"Analysis of vehicle\/track interaction measurement data using the V\/TI Monitor system\u2014Analiza mjernih podataka sustava \u201cV\/TI Monitor\u201d baziranog na medudjelovanju vozila i kolosijeka","volume":"70","author":"Dick","year":"2018","journal-title":"Gradjevinar"},{"key":"ref_280","doi-asserted-by":"crossref","unstructured":"Chellaswamy, C., Duraichamy, S., Glaretsubin, P., and Vanathi, A. (2017, January 23\u201324). Optimized vehicle acceleration measurement for rail track condition monitoring. Proceedings of the 2017 2nd International Conference on Computing and Communications Technologies (ICCCT 2017), Chennai, India.","DOI":"10.1109\/ICCCT2.2017.7972265"},{"key":"ref_281","unstructured":"Zobory, I. (2019, January 5\u20137). Algorithm development to classify the deterioration of insulated rail joints by means of onboard measurements. Proceedings of the 16th Mini Conference on Vehicle System Dynamics, Identification and Anomalies, Budapest, Hungary."},{"key":"ref_282","first-page":"180","article-title":"Experimental investigation on condition monitoring opportunities of tramway tracks","volume":"62","author":"Bocz","year":"2018","journal-title":"Period. Polytech. Civil Eng."},{"key":"ref_283","first-page":"25","article-title":"Locating Real Time Faults in Modern Metro Train Tracks Using Wireless Sensor Network. In Smart and Innovative Trends in Next Generation Computing Technologies. NGCT 2017","volume":"Volume 828","author":"Bhattacharyya","year":"2018","journal-title":"Communications in Computer and Information Science"},{"key":"ref_284","first-page":"145","article-title":"Monitoring the condition of the protective fence above the railway track","volume":"52","author":"Hajovsky","year":"2019","journal-title":"IFAC Pap."},{"key":"ref_285","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1108\/SR-09-2013-728","article-title":"Development and commissioning of fbg sensors for impact test of rock fall protective barrier","volume":"34","author":"Guo","year":"2014","journal-title":"Sens. Rev."},{"key":"ref_286","first-page":"294","article-title":"Condition monitoring and fault diagnosis of railway signalling mechanical equipment using acoustic emission sensors","volume":"37","author":"Fararooy","year":"1995","journal-title":"Insight Non Destr. Test. Cond. Monit."},{"key":"ref_287","doi-asserted-by":"crossref","first-page":"897","DOI":"10.1080\/10402004.2019.1634228","article-title":"Prognostics Models for Railroad Tapered Roller Bearings with Spall Defects on Inner or Outer Rings","volume":"62","author":"Tarawneh","year":"2019","journal-title":"Tribol. Trans."},{"key":"ref_288","doi-asserted-by":"crossref","unstructured":"S\u00e1nchez, R.-V., Lucero, P., Macancela, J.-C., Rubio Alonso, H., Cerrada, M., Cabrera, D., and Castej\u00f3n, C. (2020). Evaluation of Time and Frequency Condition Indicators from Vibration Signals for Crack Detection in Railway Axles. Appl. Sci., 10.","DOI":"10.3390\/app10124367"},{"key":"ref_289","doi-asserted-by":"crossref","first-page":"76","DOI":"10.3311\/PPtr.14145","article-title":"Measurement of railway track geometry: A state-of-the-art review","volume":"48","author":"Farkas","year":"2019","journal-title":"Period. Polytech. Transp. Eng."},{"key":"ref_290","doi-asserted-by":"crossref","first-page":"10","DOI":"10.1784\/insi.2006.48.1.10","article-title":"Artificial intelligence techniques for the automatic interpretation of data from non-destructive testing","volume":"48","author":"Yella","year":"2006","journal-title":"Insight Non Destr. Test. Cond. Monit."},{"key":"ref_291","doi-asserted-by":"crossref","unstructured":"Liu, Y.-W., Hsieh, H.-Y., and Chen, N. (2011, January 16\u201318). High-speed frame grabber for track monitoring systems. Proceedings of the 2011 Joint Rail Conference (JRC 2011), Pueblo, CO, USA.","DOI":"10.1115\/JRC2011-56116"},{"key":"ref_292","unstructured":"Kuutti, J., Sepponen, R.E., and Saarikko, P. (2013, January 10\u201311). Escalator power consumption compared to pedestrian counting data. Proceedings of the 2013 International Conference on Applied Electronics, Pilsen, Czech Republic."},{"key":"ref_293","first-page":"1","article-title":"An enhanced tracking algorithm for distributed encoding fiber Bragg grating sensor network International","volume":"2014","author":"Zhang","year":"2014","journal-title":"J. Distrib. Sens. Netw."},{"key":"ref_294","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Liu, F., Jing, Y., and Li, W. (2017, January 16\u201320). Application of FBG sensing technique for monitoring and early warning system of high-speed railway track conditions. Proceedings of the SPIE\u2014The International Society for Optical Engineering, Jeju, Korea.","DOI":"10.1117\/12.2265412"},{"key":"ref_295","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.ymssp.2016.09.038","article-title":"Identification of modal strains using sub-microstrain FBG data and a novel wavelength-shift detection algorithm","volume":"86","author":"Anastasopoulos","year":"2017","journal-title":"Mech. Syst. Signal. Process."},{"key":"ref_296","unstructured":"Roveri, N., Carcaterra, A., and Sestieri, A. (2014, January 15\u201317). Remote condition monitoring of railway track using FBG sensors. Proceedings of the ISMA 2014\u2014International Conference on Noise and Vibration Engineering and USD 2014\u2014International Conference on Uncertainty in Structural Dynamics, Leuven, Belgium."},{"key":"ref_297","doi-asserted-by":"crossref","first-page":"1283","DOI":"10.1007\/s11277-017-5194-z","article-title":"Recognition of Wheel Polygon Based on W\/R Force Measurement by Piezoelectric Sensors in GSM-R Network","volume":"102","author":"Song","year":"2018","journal-title":"Wirel. Pers. Commun."},{"key":"ref_298","first-page":"295","article-title":"A general approach for real-time rail condition monitoring using optical fiber sensors","volume":"78","author":"Ilie","year":"2016","journal-title":"UPB Sci. Bull. Ser. A Appl. Math. Phys."},{"key":"ref_299","doi-asserted-by":"crossref","unstructured":"Naderi, H., and Mirabadi, A. (2006, January 29\u201330). Railway track condition monitoring using FBG and FPI fiber optic sensors. Proceedings of the 2006 IET International Conference on Railway Condition Monitoring, Birmingham, UK.","DOI":"10.1049\/ic:20060069"},{"key":"ref_300","unstructured":"Liao, Y., Jin, W., Sampson, D., Yamauchi, R., Chung, Y., Nakamura, K., and Rao, Y. (2012, January 15\u201319). Toward track component condition monitoring using optical fibre Bragg grating sensors. Proceedings of the 22nd International Conference on Optical Fiber Sensors, Beijing, China."},{"key":"ref_301","unstructured":"Pombo, J. (2012, January 18\u201320). Condition monitoring of railway components using optical fibre bragg grating sensors. Proceedings of the First International Conference on Railway Technology: Research, Development and Maintenance, Las Palmas de Gran Canaria, Spain."},{"key":"ref_302","doi-asserted-by":"crossref","first-page":"55201","DOI":"10.1088\/0957-0233\/27\/5\/055201","article-title":"Railway track component condition monitoring using optical fibre Bragg grating sensors","volume":"27","author":"Buggy","year":"2016","journal-title":"Meas. Sci. Technol."},{"key":"ref_303","unstructured":"Poddar, V., and Lipsett, M.G. (2015, January 12\u201314). Improving leak detection for freight rail wagon airbrakes in cold weather conditions. Proceedings of the Joint Conference: MFPT 2015 and ISA\u2019s 61st International Instrumentation Symposium\u2014Technology Evolution: Sensors to Systems for Failure Prevention, Huntsville, AL, USA."},{"key":"ref_304","doi-asserted-by":"crossref","unstructured":"Ni, Y.-Q., and Zhang, Q.-H. (2018, January 12\u201314). A Bayesian Machine Learning Approach for Online Wheel Condition Detection Using Track-side Monitoring. Proceedings of the 2018 International Conference on Intelligent Rail Transportation (ICIRT 2018), Marina Bay Sands, Singapore.","DOI":"10.1109\/ICIRT.2018.8641663"},{"key":"ref_305","doi-asserted-by":"crossref","unstructured":"Tam, H.-Y., Lee, K.-K., Liu, S.-Y., Cho, L.-H., and Cheng, K.-C. (2018, January 12\u201314). Intelligent Optical Fibre Sensing Networks Facilitate Shift to Predictive Maintenance in Railway Systems. Proceedings of the 2018 International Conference on Intelligent Rail Transportation (ICIRT 2018), Singapore.","DOI":"10.1109\/ICIRT.2018.8641602"},{"key":"ref_306","doi-asserted-by":"crossref","first-page":"4018107","DOI":"10.1061\/(ASCE)BE.1943-5592.0001334","article-title":"Performance Assessment of a Newly Constructed Skewed Half-Through Railway Bridge Using Integrated Sensing","volume":"24","author":"Lin","year":"2019","journal-title":"J. Bridge. Eng."},{"key":"ref_307","doi-asserted-by":"crossref","first-page":"120535","DOI":"10.1016\/j.conbuildmat.2020.120535","article-title":"Additive manufacturing meta-functional composites for engineered bridge bearings: A review","volume":"262","author":"Sengsri","year":"2020","journal-title":"Constr. Build. Mater."},{"key":"ref_308","doi-asserted-by":"crossref","first-page":"989","DOI":"10.1007\/s42835-020-00363-3","article-title":"Implementation of Image Processing in Studying Contact Conditions of Overhead Contact Line-Pantograph at 400 km\/h","volume":"15","author":"Na","year":"2020","journal-title":"J. Electr. Eng. Technol."},{"key":"ref_309","doi-asserted-by":"crossref","unstructured":"Arthington, M.R., Barnes, P.T., and Duncan, S.R. (2016, January 27\u201328). Non-Contact Force Measurement for Current Collection in a 25kV Overhead Line Electrified Railway. Proceedings of the 7th IET Conference on Railway Condition Monitoring 2016 (RCM 2016), Birmingham, UK.","DOI":"10.1049\/cp.2016.1206"},{"key":"ref_310","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1243\/0954409001531351","article-title":"Out-of-round railway wheels-a literature survey","volume":"214","author":"Nielsen","year":"2000","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_311","doi-asserted-by":"crossref","first-page":"1583","DOI":"10.1109\/TIM.2007.903583","article-title":"A railway measurement system to evaluate the wheel-rail interaction quality","volume":"56","author":"Attivissimo","year":"2007","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_312","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1243\/095440903765762878","article-title":"Out-of-round railway wheels\u2014wheel-rail contact forces and track response derived from field tests and numerical simulations","volume":"217","author":"Johansson","year":"2003","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_313","first-page":"2440","article-title":"Exploration of using FBG sensor for axle counter in railway engineering","volume":"3","author":"Lee","year":"2004","journal-title":"WSEAS Trans. Top. Syst."},{"key":"ref_314","doi-asserted-by":"crossref","first-page":"1905","DOI":"10.1109\/JSEN.2010.2049199","article-title":"A fiber Bragg grating sensor system for train axle counting","volume":"10","author":"Wei","year":"2010","journal-title":"IEEE Sens. J."},{"key":"ref_315","unstructured":"Pombo, J. (2016, January 5\u20138). Monitoring of Railway Wheel Diameters by means of a Wheel Impact Load Detector. Proceedings of the Third International Conference on Railway Technology: Research, Development and Maintenance, Cagliari, Sardinia, Italy. Paper 237."},{"key":"ref_316","doi-asserted-by":"crossref","unstructured":"Harrison, H.D., Cheng, L.R., and GeMeiner, W. (2006, January 5\u201310). Tracking the Performance of Heavy Axle Load Vehicles in Revenue Service. Proceedings of the ASME 2006 International Mechanical Engineering Congress and Exposition. Rail Transportation, Chicago, IL, USA.","DOI":"10.1115\/IMECE2006-15730"},{"key":"ref_317","doi-asserted-by":"crossref","unstructured":"Kojima, T., Tsunashima, H., and Matsumoto, A. (2005, January 30). Fault detection of railway track by multi-resolution analysis. Proceedings of the 4th International Conference on Wavelet Analysis and Its Applications, Macau, China.","DOI":"10.2495\/CR060931"},{"key":"ref_318","unstructured":"Allan, J., Brebbia, C.A., Rumsey, A.F., Sciutto, G., and Sone, S. (2006). Fault detection of railway track by multi-resolution analysis. Computer in Railway X, WIT Press."},{"key":"ref_319","doi-asserted-by":"crossref","unstructured":"Hayashi, Y., Kojima, T., Tsunashima, H., and Marumo, Y. (2006, January 29\u201330). Real time fault detection of railway vehicles and tracks. Proceedings of the IET International Conference on Railway Condition Monitoring, Birmingham, UK.","DOI":"10.1049\/ic:20060037"},{"key":"ref_320","doi-asserted-by":"crossref","unstructured":"Daubechies, I. (1992). Ten Lectures on Wavelets, Society for Industrial and Applied Mathematics.","DOI":"10.1137\/1.9781611970104"},{"key":"ref_321","unstructured":"Pombo, J. (2016, January 5\u20138). A data fusion approach based on systems integration for axle bearing monitoring. Proceedings of the Third International Conference on Railway Technology: Research, Development and Maintenance, Cagliari, Italy. Paper 309."},{"key":"ref_322","doi-asserted-by":"crossref","first-page":"1393","DOI":"10.1109\/JSEN.2019.2947656","article-title":"Signal Filter Cut-Off Frequency Determination to Enhance the Accuracy of Rail Track Irregularity Detection and Localization","volume":"20","author":"Bhardwaj","year":"2020","journal-title":"IEEE Sens. J."},{"key":"ref_323","doi-asserted-by":"crossref","unstructured":"Vanraj Dhami, S.S., and Pabla, B.S. (2018, January 23\u201326). Gear fault classification using Vibration and Acoustic Sensor Fusion: A Case Study. Proceedings of the 2018 Condition Monitoring and Diagnosis, CMD 2018\u2014Proceedings, Perth, Australia. 8535974.","DOI":"10.1109\/CMD.2018.8535974"},{"key":"ref_324","unstructured":"Pombo, J. (2014, January 8\u201311). Railway measurement techniques: Opportunities and challenges. Proceedings of the Second International Conference on Railway Technology: Research, Development and Maintenance, Ajaccio, France. Paper 86."},{"key":"ref_325","unstructured":"Arai, T., Naganuma, Y., and Morimoto, M. (November, January 28). Development of new track condition monitoring system for the Shinkansen (New RAIDARSS). Proceedings of the 12th World Congress on Railway Research (WCRR) 2019, Tokyo, Japan."},{"key":"ref_326","first-page":"1","article-title":"Development of new track condition monitoring system","volume":"206","author":"Arai","year":"2019","journal-title":"Jpn. Railw. Eng."},{"key":"ref_327","doi-asserted-by":"crossref","unstructured":"McCormick, N.J., Kimkeran, S.A., Najim, A., and Jonas, D. (2014, January 17\u201318). Assessing the condition of railway assets using difcam: Results from tunnel examinations. Proceedings of the 6th IET Conference on Railway Condition Monitoring (RCM 2014), Birmingham, UK.","DOI":"10.1049\/cp.2014.1002"},{"key":"ref_328","unstructured":"Li, Z., Berg, M., Fletcher, D., Meehan, P., and N\u00fa\u00f1ez, A. (2018, January 24\u201328). In-service detection of defective railway wheels with periodic out-of-roundness. Proceedings of the 11th International Conference on Contact Mechanics and Wear of Rail\/Wheel Systems (CM 2018), Delft, The Netherlands."},{"key":"ref_329","first-page":"547","article-title":"Experimental data measured with an on Board Unit for condition monitoring of freight wagons [Dati sperimentali misurati con On Board Unit per il monitoraggio delle condizioni dei carri merci]","volume":"72","author":"Aimar","year":"2017","journal-title":"Ing. Ferrov."},{"key":"ref_330","unstructured":"Okumura, S., Kawai, T., Peng, C., and Rao, R.B.K.N. (July, January 28). Diagnosis without sensors\u2014Integration of external data for condition monitoring of railway switches. Proceedings of the 23rd International Congress on Condition Monitoring and Diagnostic Engineering Management, Nara, Japan."},{"key":"ref_331","doi-asserted-by":"crossref","first-page":"221","DOI":"10.1049\/cce:20020501","article-title":"Remote condition monitoring and validation of railway points","volume":"13","author":"Zhou","year":"2002","journal-title":"Comput. Control. Eng. J."},{"key":"ref_332","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1177\/0954409711402138","article-title":"Rail-wheel contact stress assessment using acoustic emission: A laboratory study of the effects of wheel flats","volume":"226","author":"Thakkar","year":"2012","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_333","unstructured":"Crocker, M.J., Pawelczyk, M., and Paosawatyanyong, B. (2013, January 7\u201311). Acceleration signals in the process of monitoring the rail vehicle and track. Proceedings of the 20th International Congress on Sound and Vibration 2013 (ICSV 2013), Bangkok, Thailand."},{"key":"ref_334","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1016\/j.procir.2014.08.006","article-title":"Challenges in cost analysis of innovative maintenance of distributed high-value assets","volume":"22","author":"Kirkwood","year":"2014","journal-title":"Procedia CIRP"},{"key":"ref_335","unstructured":"Groos, J.C., Havrila, P., and Schubert, L.A. (2017, January 13\u201316). In-service railway track condition monitoring by analysis of axle box accelerations for small to mid-size infrastructure operators. Proceedings of the WCCM 2017\u20141st World Congress on Condition Monitoring 2017, London, UK."},{"key":"ref_336","doi-asserted-by":"crossref","first-page":"3797","DOI":"10.1177\/1077546318787945","article-title":"A multi-sensor fusion framework for detecting small amplitude hunting of high-speed trains","volume":"24","author":"Ning","year":"2018","journal-title":"J. Vib. Control."},{"key":"ref_337","doi-asserted-by":"crossref","unstructured":"Roth, M., Baasch, B., Havrila, P., and Groos, J. (2018, January 10\u201313). Map-Supported Positioning Enables In-Service Condition Monitoring of Railway Tracks. Proceedings of the 21st International Conference on Information Fusion (FUSION 2018), Cambridge, UK.","DOI":"10.23919\/ICIF.2018.8455377"},{"key":"ref_338","doi-asserted-by":"crossref","unstructured":"Wilk, A., Koc, W., Specht, C., Judek, S., Karwowski, K., Chrostowski, P., Czaplewski, K., Dabrowski, P.S., Grulkowski, S., and Licow, R. (2020). Digital Filtering of Railway Track Coordinates in Mobile Multi\u2013Receiver GNSS Measurements. Sensors, 20.","DOI":"10.3390\/s20185018"},{"key":"ref_339","first-page":"149","article-title":"Acceleration sensor abnormality detection method for axle box of unmanned vehicle","volume":"14","author":"Gong","year":"2020","journal-title":"Jordan J. Mech. Ind. Eng."},{"key":"ref_340","doi-asserted-by":"crossref","first-page":"4096","DOI":"10.1109\/JSEN.2019.2961942","article-title":"Condition Monitoring of NFR Trains with Measurements from a Single Wayside 3D Vibration Sensor","volume":"20","author":"Barman","year":"2020","journal-title":"IEEE Sens. J."},{"key":"ref_341","doi-asserted-by":"crossref","first-page":"541","DOI":"10.2495\/UT120461","article-title":"Online monitoring of essential components helps urban transport management and increases the safety of rail transport","volume":"128","author":"Daadbin","year":"2012","journal-title":"WIT Trans. Built Environ."},{"key":"ref_342","first-page":"283","article-title":"Continuous monitoring of essential components as a measure to increase the safety of rail transport International","volume":"1","author":"Daadbin","year":"2011","journal-title":"J. Saf. Secur. Eng."},{"key":"ref_343","doi-asserted-by":"crossref","first-page":"223","DOI":"10.1016\/S1007-0214(08)70153-6","article-title":"Development of a Mobile Sensing Unit and Its Prototype Implementation","volume":"13","author":"Mizuno","year":"2008","journal-title":"Tsinghua Sci. Technol."},{"key":"ref_344","doi-asserted-by":"crossref","first-page":"9053","DOI":"10.1109\/JSEN.2016.2620149","article-title":"Fully autonomous wireless sensor network for freight wagon monitoring","volume":"16","year":"2016","journal-title":"IEEE Sens. J."},{"key":"ref_345","unstructured":"Pombo, J. (2016, January 5\u20138). An on-board braking monitoring system for intermodal freight trains. Proceedings of the Third International Conference on Railway Technology: Research, Development and Maintenance, Cagliari, Italy."},{"key":"ref_346","doi-asserted-by":"crossref","first-page":"489","DOI":"10.1016\/j.measurement.2018.07.079","article-title":"Acceleration measurements inside vehicles: Passengers\u2019 comfort mapping on railways","volume":"129","author":"Zoccali","year":"2018","journal-title":"Meas. J. Int. Meas. Confed."},{"key":"ref_347","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1016\/j.apenergy.2019.04.182","article-title":"Modeling and onboard test of an electromagnetic energy harvester for railway cars","volume":"250","author":"Pan","year":"2019","journal-title":"Appl. Energy"},{"key":"ref_348","unstructured":"Davies, M. (2015, January 21\u201323). The paper that eliminates paper. Proceedings of the Stephenson Conference Research for Railways, London, UK."},{"key":"ref_349","doi-asserted-by":"crossref","first-page":"353","DOI":"10.20965\/jdr.2020.p0353","article-title":"Condition monitoring of Yangon circular railway and Yangon\u2013Mandalay Railway based on car-body acceleration response using a portable device","volume":"15","author":"Aung","year":"2020","journal-title":"J. Disaster Res."},{"key":"ref_350","doi-asserted-by":"crossref","unstructured":"Seraj, F., Meratnia, N., and Havinga, P.J.M. (2017, January 13\u201317). RoVi: Continuous transport infrastructure monitoring framework for preventive maintenance. Proceedings of the 2017 IEEE International Conference on Pervasive Computing and Communications (PerCom 2017), Kona, HI, USA.","DOI":"10.1109\/PERCOM.2017.7917868"},{"key":"ref_351","doi-asserted-by":"crossref","unstructured":"Bridgelall, R., and Tolliver, D. (2020). Accuracy enhancement of anomaly localization with participatory sensing vehicles. Sensors, 20.","DOI":"10.3390\/s20020409"},{"key":"ref_352","doi-asserted-by":"crossref","unstructured":"Balouchi, F., Bevan, A., and Formston, R. (2016, January 27\u201328). Detecting Railway Under-Track Voids using Multi-Train In-Service Vehicle Accelerometer. Proceedings of the 7th IET Conference on Railway Condition Monitoring 2016 (RCM 2016), Birmingham, UK.","DOI":"10.1049\/cp.2016.1194"},{"key":"ref_353","doi-asserted-by":"crossref","first-page":"207","DOI":"10.1108\/02602280310481823","article-title":"University spin-off company launches novel structural stress monitoring system","volume":"23","author":"Bogue","year":"2003","journal-title":"Sens. Rev."},{"key":"ref_354","doi-asserted-by":"crossref","unstructured":"Krichen, D., Abdallah, W., and Boudriga, N. (2016, January 27\u201328). An optical wireless network for railways condition monitoring. Proceedings of the Asia-Pacific Conference on Communications (APCC 2016), Yogyakarta, Indonesia.","DOI":"10.1109\/APCC.2016.7581506"},{"key":"#cr-split#-ref_355.1","unstructured":"Mair, R.J., Soga, K., Jin, Y., Parlikad, A.K., and Schooling, J.M. (2016). Wireless remote condition monitoring opens new monitoring applications in railway tunnel deformation and trackbed. Transforming the Future of Infrastructure through Smarter Information, Proceedings of the International Conference on Smart Infrastructure and Construction (ICSIC 2016)"},{"key":"#cr-split#-ref_355.2","doi-asserted-by":"crossref","unstructured":"Cambridge, UK, 27-29 June 2016, ICE Publishing.","DOI":"10.1002\/leap.1010"},{"key":"ref_356","doi-asserted-by":"crossref","unstructured":"Maddison, S., and Smith, B. (2014, January 17\u201318). New advances for wireless remote condition monitoring in tunnel deformation and track tilt. Proceedings of the 6th IET Conference on Railway Condition Monitoring (RCM 2014), Birmingham, UK.","DOI":"10.1049\/cp.2014.1003"},{"key":"ref_357","unstructured":"Nsabagwa, M., Mugume, I., Kasumba, R., Muhumuza, J., Byarugaba, S., Tumwesigye, E., and Otim, J.S. (2018, January 9\u201311). Condition monitoring and reporting framework for wireless sensor network-based automatic weather stations. Proceedings of the 2018 IST-Africa Week Conference (IST-Africa 2018), Gaborone, Botswana. 8417352."},{"key":"ref_358","doi-asserted-by":"crossref","unstructured":"Hussels, M.-T., Chruscicki, S., Arndt, D., Scheider, S., Prager, J., Homann, T., and Habib, A.K. (2019). Localization of transient events threatening pipeline integrity by fiber-optic distributed acoustic sensing. Sensors, 19.","DOI":"10.3390\/s19153322"},{"key":"ref_359","unstructured":"Mair., R.J., Soga, K., Jin, Y., Parlikad, A.K., and Schooling, J.M. (2016, January 27\u201329). Condition monitoring of railway tracks and vehicles using fibre optic sensing techniques. Proceedings of the International Conference on Smart Infrastructure and Construction, Cambridge, UK."},{"key":"ref_360","doi-asserted-by":"crossref","unstructured":"Lopez, P., Mabe, J., Mir\u00f3, G., and Etxeberria, L. (2018). Low cost photonic sensor for in-line oil quality monitoring: Methodological development process towards uncertainty mitigation. Sensors, 18.","DOI":"10.3390\/s18072015"},{"key":"ref_361","doi-asserted-by":"crossref","unstructured":"Narampanawe, N.B., See, K.Y., Rathnayaka, S.B., and Chua, E.K. (2018, January 12\u201314). Thin and Flexible Inductively Coupled Transformer as Energy Harvester for Wireless Sensor Networks. Proceedings of the 2018 International Conference on Intelligent Rail Transportation (ICIRT 2018), Singapore.","DOI":"10.1109\/ICIRT.2018.8641673"},{"key":"ref_362","doi-asserted-by":"crossref","unstructured":"Espe, A.E., and Mathisen, G. (2020, January 8\u201311). Towards Magnetic Field Energy Harvesting near Electrified Railway Tracks. Proceedings of the 9th Mediterranean Conference on Embedded Computing MECO 2020, Budva, Montenegro.","DOI":"10.1109\/MECO49872.2020.9134113"},{"key":"ref_363","doi-asserted-by":"crossref","unstructured":"Cii, S., Tomasini, G., Tarsitano, D., and Bacci, M.L. (2020, January 20\u201322). Wireless Sensor Nodes for Freight Trains Condition Monitoring. Proceedings of the 2020 Joint Rail Conference. 2020 Joint Rail Conference, St. Louis, MO, USA.","DOI":"10.1115\/JRC2020-8116"},{"key":"ref_364","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1007\/978-3-642-33469-6_7","article-title":"Dynamic spectrum analysis of high-speed train passenger compartment luggage rack noise","volume":"Volume 7529","author":"Wu","year":"2012","journal-title":"Web Information Systems and Mining"},{"key":"ref_365","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1016\/j.ymssp.2012.08.004","article-title":"3D fluid-structure modelling and vibration analysis for fault diagnosis of Francis turbine using multiple ANN and multiple ANFIS","volume":"34","author":"Saeed","year":"2013","journal-title":"Mech. Syst. Signal. Process."},{"key":"ref_366","doi-asserted-by":"crossref","first-page":"585","DOI":"10.1016\/j.conengprac.2007.06.007","article-title":"Fault detection and diagnosis for railway track circuits using neuro-fuzzy systems","volume":"16","author":"Chen","year":"2008","journal-title":"Control. Eng. Pract."},{"key":"ref_367","doi-asserted-by":"crossref","unstructured":"Marwala, T. (2015). Causality, Correlation and Artificial Intelligence for Rational Decision Making Causality, Correlation and Artificial Intelligence for Rational Decision Making, World Scientific Publishing Co. Pte. Ltd.","DOI":"10.1142\/9356"},{"key":"ref_368","first-page":"235","article-title":"Railway joint detection using deep convolutional neural networks","volume":"8","author":"Sun","year":"2019","journal-title":"IEEE Int. Conf. Autom. Sci. Eng."},{"key":"ref_369","doi-asserted-by":"crossref","unstructured":"Mosleh, A., Montenegro, P., Alves Costa, P., and Cal\u00e7ada, R. (2020). An approach for wheel flat detection of railway train wheels using envelope spectrum analysis. Struct. Infrastruct. Eng., 1\u201320.","DOI":"10.1080\/15732479.2020.1832536"},{"key":"ref_370","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1109\/TITS.2016.2568758","article-title":"Deep multitask learning for railway track inspection","volume":"18","author":"Gibert","year":"2015","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_371","first-page":"78","article-title":"Analysis of Railway Track Irregularities with Convolutional Autoencoders and Clustering Algorithms","volume":"Volume 1279","author":"Bernardi","year":"2020","journal-title":"Dependable Computing\u2014EDCC 2020 Workshops. EDCC 2020. Communications in Computer and Information Science"},{"key":"ref_372","doi-asserted-by":"crossref","first-page":"246","DOI":"10.1177\/0954409718802998","article-title":"Mapping of the electromagnetic environment on the railway: Condition monitoring of signalling assets","volume":"234","author":"Johnson","year":"2020","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_373","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1177\/0954409718777372","article-title":"The role of track stiffness and its spatial variability on long-term track quality deterioration","volume":"233","author":"Grossoni","year":"2019","journal-title":"Proc. Inst. Mech. Eng. Part F J. Rail Rapid Transit."},{"key":"ref_374","unstructured":"Chang, F.-K., and Kopsaftopoulos, F. (2019). Real-time monitoring for condition assessment and long-term behaviour of metro lines. Structural Health Monitoring 2019: Enabling Intelligent Life-Cycle Health Management for Industry Internet of Things (IIOT), Proceedings of the 12th International Workshop on Structural Health Monitoring, Stanford, California, USA, 10\u201312 September 2019, DEStech Publications, Inc."},{"key":"ref_375","doi-asserted-by":"crossref","unstructured":"Xu, X., Lei, Y., and Zhou, X. (2018, January 26\u201328). A LOF-Based method for abnormal segment detection in machinery condition monitoring. Proceedings of the 2018 Prognostics and System Health Management Conference, Chongqing, China.","DOI":"10.1109\/PHM-Chongqing.2018.00027"},{"key":"ref_376","doi-asserted-by":"crossref","unstructured":"Xu, G., Liu, M., Wang, J., Ma, Y., Wang, J., Li, F., and Shen, W. (2019, January 22\u201326). Data-driven fault diagnostics and prognostics for predictive maintenance: A brief overview. Proceedings of the IEEE International Conference on Automation Science and Engineering 2019, Vancouver, BC, Canada.","DOI":"10.1109\/COASE.2019.8843068"},{"key":"ref_377","doi-asserted-by":"crossref","first-page":"523","DOI":"10.1109\/TNNLS.2016.2551940","article-title":"Railway Track Circuit Fault Diagnosis Using Recurrent Neural Networks","volume":"28","author":"Verbert","year":"2017","journal-title":"IEEE Trans. Neural Netw. Learn. Syst."},{"key":"ref_378","doi-asserted-by":"crossref","first-page":"1239","DOI":"10.1109\/TITS.2019.2905611","article-title":"A novel approach for big data classification and transportation in rail networks","volume":"21","author":"Saki","year":"2020","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_379","doi-asserted-by":"crossref","first-page":"259","DOI":"10.1243\/09544100JAERO632","article-title":"Diagnosis of fault and condition monitoring of dynamic structures using the multiple adaptive-neuro-fuzzy inference system technique","volume":"224","author":"Parhi","year":"2010","journal-title":"Proc. Inst. Mech. Eng. Part G J. Aerosp. Eng."},{"key":"ref_380","doi-asserted-by":"crossref","unstructured":"Sramota, J., and Skavhaug, A. (2018, January 29\u201331). RailCheck: A WSN-Based system for condition monitoring of railway infrastructure. Proceedings of the 21st Euromicro Conference on Digital System Design (DSD 2018), Prague, Czech Republic.","DOI":"10.1109\/DSD.2018.00067"},{"key":"ref_381","doi-asserted-by":"crossref","first-page":"2629","DOI":"10.1109\/TII.2019.2938145","article-title":"Internet of Things-Based Online Condition Monitor and Improved Adaptive Fuzzy Control for a Medium-Low-Speed Maglev Train System","volume":"16","author":"Sun","year":"2020","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_382","doi-asserted-by":"crossref","first-page":"859","DOI":"10.3233\/IFS-2012-0604","article-title":"Intelligent condition monitoring of railway signaling in train detection subsystems","volume":"24","author":"Sandidzadeh","year":"2013","journal-title":"J. Intell. Fuzzy Syst."},{"key":"ref_383","doi-asserted-by":"crossref","unstructured":"Etchell, S., Phillips, D., and Blackburn, C. (2014, January 17\u201318). Remote Condition Monitoring of London underground Track Circuits utilising commercial off-the-shelf hardware and software platforms. Proceedings of the 6th IET Conference on Railway Condition Monitoring (RCM 2014), Birmingham, UK.","DOI":"10.1049\/cp.2014.1015"},{"key":"ref_384","doi-asserted-by":"crossref","first-page":"786","DOI":"10.1049\/cje.2020.06.007","article-title":"Condition monitoring for railway point machines based on sound analysis and support vector machine","volume":"29","author":"Sun","year":"2020","journal-title":"Chin. J. Electron."},{"key":"ref_385","doi-asserted-by":"crossref","first-page":"4674","DOI":"10.1109\/TII.2018.2855198","article-title":"Deploying fog computing in industrial Internet of Things and Industry 4.0","volume":"14","author":"Aazam","year":"2018","journal-title":"IEEE Trans. Ind. Informat."},{"key":"ref_386","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1108\/JQME-03-2018-0014","article-title":"Condition monitoring for airport baggage handling in the era of industry 4.0","volume":"25","author":"Koenig","year":"2019","journal-title":"J. Qual. Maint. Eng."},{"key":"ref_387","first-page":"499","article-title":"Characteristics of Maintenance 4.0 and Their Reflection in Aircraft Engine MRO","volume":"Volume 166","author":"Ball","year":"2020","journal-title":"Advances in Asset Management and Condition Monitoring. Smart Innovation, Systems and Technologies"},{"key":"ref_388","doi-asserted-by":"crossref","first-page":"605","DOI":"10.1109\/TTE.2018.2826441","article-title":"Distributed insulation monitoring for U.K. 650-V railway signaling power supplies using rectified current difference pattern tracking","volume":"4","author":"Xu","year":"2018","journal-title":"IEEE Trans. Transp. Electrif."},{"key":"ref_389","first-page":"135","article-title":"A preliminary evaluation and analysis of technologies for eliminating railway insulated joints","volume":"Volume 30","author":"Ahmadian","year":"2005","journal-title":"Proceedings of the IMECE2005 2005 ASME International Mechanical Engineering Congress and Exposition"},{"key":"ref_390","doi-asserted-by":"crossref","unstructured":"Komalan, N., and Chauhan, A. (2017, January 21\u201323). A survey on cluster based routing, data aggregation and fault detection techniques for locating real time faults in modern metro train tracks using wireless sensor network. Proceedings of the IEEE International Conference on Innovative Mechanisms for Industry Applications (ICIMIA 2017), Bangalore, India.","DOI":"10.1109\/ICIMIA.2017.7975584"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/14\/4710\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:28:31Z","timestamp":1760164111000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/14\/4710"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,9]]},"references-count":391,"journal-issue":{"issue":"14","published-online":{"date-parts":[[2021,7]]}},"alternative-id":["s21144710"],"URL":"https:\/\/doi.org\/10.3390\/s21144710","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7,9]]}}}