{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,30]],"date-time":"2026-08-30T05:36:10Z","timestamp":1788068170130,"version":"build-2784847793"},"reference-count":53,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/N010884\/1"],"award-info":[{"award-number":["EP\/N010884\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","award":["EP\/J013714\/1"],"award-info":[{"award-number":["EP\/J013714\/1"]}],"id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JSAN"],"abstract":"<jats:p>This paper presents a review of advances in the field of Sensor Placement Optimisation (SPO) strategies for Structural Health Monitoring (SHM). This task has received a great deal of attention in the research literature, from initial foundations in the control engineering literature to adoption in a modal or system identification context in the structural dynamics community. Recent years have seen an increasing focus on methods that are specific to damage identification, with the maximisation of correct classification outcomes being prioritised. The objectives of this article are to present the SPO for SHM problem, to provide an overview of the current state of the art in this area, and to identify promising emergent trends within the literature. The key conclusions drawn are that there remains a great deal of scope for research in a number of key areas, including the development of methods that promote robustness to modelling uncertainty, benign effects within measured data, and failures within the sensor network. There also remains a paucity of studies that demonstrate practical, experimental evaluation of developed SHM system designs. Finally, it is argued that the pursuit of novel or highly efficient optimisation methods may be considered to be of secondary importance in an SPO context, given that the optimisation effort is expended at the design stage.<\/jats:p>","DOI":"10.3390\/jsan9030031","type":"journal-article","created":{"date-parts":[[2020,7,2]],"date-time":"2020-07-02T02:44:25Z","timestamp":1593657865000},"page":"31","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":41,"title":["Emerging Trends in Optimal Structural Health Monitoring System Design: From Sensor Placement to System Evaluation"],"prefix":"10.3390","volume":"9","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6645-8482","authenticated-orcid":false,"given":"Robert James","family":"Barthorpe","sequence":"first","affiliation":[{"name":"Dynamics Research Group, Department of Mechanical Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1035-238X","authenticated-orcid":false,"given":"Keith","family":"Worden","sequence":"additional","affiliation":[{"name":"Dynamics Research Group, Department of Mechanical Engineering, University of Sheffield, Mappin Street, Sheffield S1 3JD, UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2020,7,1]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Boller, C., Chang, F., and Fujino, Y. (2009). Sensor Placement Optimization. Encyclopedia of Structural Health Monitoring, John Wiley & Sons.","DOI":"10.1002\/9780470061626"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Yi, T.H., and Li, H.N. (2012). Methodology Developments in Sensor Placement for Health Monitoring of Civil Infrastructures. Int. J. Distrib. Sens. Netw., 8.","DOI":"10.1155\/2012\/612726"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"963","DOI":"10.1177\/1475921719825601","article-title":"Optimization of sensor placement for structural health monitoring: A review","volume":"18","author":"Ostachowicz","year":"2019","journal-title":"Struct. Health Monit."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1016\/j.jsv.2003.10.063","article-title":"Optimal sensor placement methodology for parametric identification of structural systems","volume":"278","author":"Papadimitriou","year":"2004","journal-title":"J. Sound Vib."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Udwadia, F. (1994). Methodology for Optimum Sensor Locations for Parameter Identification in Dynamic Systems. ASCE J. Eng. Mech., 120.","DOI":"10.1061\/(ASCE)0733-9399(1994)120:2(368)"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"251","DOI":"10.2514\/3.20635","article-title":"Sensor placement for on-orbit modal identification and correlation of large space structures","volume":"14","author":"Kammer","year":"1991","journal-title":"J. Guid. Control. Dyn."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"188","DOI":"10.1115\/1.3424225","article-title":"A Methodology for Optimal Sensor Locations for Identification of Dynamic Systems","volume":"45","author":"Shah","year":"1978","journal-title":"J. Appl. Mech."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"334","DOI":"10.2514\/3.20841","article-title":"Effect of model error on sensor placement for on-orbit modal identification of large space structures","volume":"15","author":"Kammer","year":"1992","journal-title":"J. Guid. Control. Dyn."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1115\/1.2897366","article-title":"Effects of noise on sensor placement for on-orbit modal identification of large space structures","volume":"114","author":"Kammer","year":"1992","journal-title":"J. Dyn. Syst. Meas. Control. Trans. ASME"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"1922","DOI":"10.2514\/3.11868","article-title":"Sensor placement for on-orbit modal identification via a genetic algorithm","volume":"31","author":"Yao","year":"1993","journal-title":"AIAA J."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"700","DOI":"10.1016\/j.ymssp.2004.06.003","article-title":"Sensor set expansion for modal vibration testing","volume":"19","author":"Kammer","year":"2005","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"407","DOI":"10.2514\/3.11998","article-title":"Automatic choice of measurement locations for dynamic testing","volume":"32","author":"Penny","year":"1994","journal-title":"AIAA J."},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Salama, M., Rose, T., and Garba, J. (1987, January 6\u20138). Optimal placement of excitations and sensors for verification of large dynamical systems. Proceedings of the 28th Structures, Structural Dynamics and Materials Conference, Monterey, CA, USA.","DOI":"10.2514\/6.1987-782"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"945","DOI":"10.1016\/j.jsv.2007.05.004","article-title":"The connection between effective independence and modal kinetic energy methods for sensor placement","volume":"305","author":"Li","year":"2007","journal-title":"J. Sound Vib."},{"key":"ref_15","unstructured":"Imamovic, N., and Ewins, D. (1997, January 3\u20136). Optimization of excitation DOF selection for modal tests. Proceedings of the 15th International Modal Analysis Conference, Orlando, FL, USA."},{"key":"ref_16","unstructured":"Imamovic, N. (1998). Validation of Large Structural Dynamics Models Using Modal Test Data. [Ph.D. Thesis, Imperial College London]."},{"key":"ref_17","unstructured":"Larson, C.B., Zimmerman, D.C., and Marek, E.L. (February, January 31). A comparison of modal test planning techniques: Excitation and sensor placement using the NASA 8-bay truss. Proceedings of the 12th International Modal Analysis Conference, Honolulu, HI, USA."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"1173","DOI":"10.1061\/(ASCE)0733-9399(2000)126:11(1173)","article-title":"Optimum sensor placement for structural damage detection","volume":"126","author":"Shi","year":"2000","journal-title":"J. Eng. Mech."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1088\/0964-1726\/13\/3\/011","article-title":"Optimal placement of sensors for structural health monitoring using improved genetic algorithms","volume":"13","author":"Guo","year":"2004","journal-title":"Smart Mater. Struct."},{"key":"ref_20","unstructured":"Hemez, F., and Farhat, C. (1994, January 13\u201315). An energy based optimum sensor placement criterion and its application to structural damage detection. Proceedings of the SPIE International Society for Optical Engineering, Bergen, Norway."},{"key":"ref_21","unstructured":"Said, W.M., and Staszewski, W.J. (2000, January 23\u201326). Optimal sensor location for damage detection using mutual information. Proceedings of the 11 th International Conference on Adaptive Structures and Technologies (ICAST), Nagoya, Japan."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"528","DOI":"10.1088\/0964-1726\/10\/3\/315","article-title":"Measurement point selection in damage detection using the mutual information concept","volume":"10","author":"Trendafilova","year":"2001","journal-title":"Smart Mater. Struct."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"781","DOI":"10.1177\/107754630000600508","article-title":"Entropy-based optimal sensor location for structural model updating","volume":"6","author":"Papadimitriou","year":"2000","journal-title":"Jvc\/J. Vib. Control."},{"key":"ref_24","unstructured":"Tharwat, A. (2018). Classification assessment methods. Appl. Comput. Inform."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"861","DOI":"10.1016\/j.patrec.2005.10.010","article-title":"An introduction to ROC analysis","volume":"27","author":"Fawcett","year":"2006","journal-title":"Pattern Recognit. Lett."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"885","DOI":"10.1016\/S0141-0296(00)00118-8","article-title":"Optimal sensor placement for fault detection","volume":"23","author":"Worden","year":"2001","journal-title":"Eng. Struct."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1655","DOI":"10.1016\/j.cma.2004.06.043","article-title":"Pareto optimal sensor locations for structural identification","volume":"194","author":"Papadimitriou","year":"2005","journal-title":"Comput. Methods Appl. Mech. Eng."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"461","DOI":"10.1016\/j.ymssp.2011.07.022","article-title":"Sensor placement for modal identification","volume":"27","author":"Stephan","year":"2012","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_29","unstructured":"Stabb, M., and Blelloch, P. (1995, January 13\u201316). A genetic algorithm for optimally selecting accelerometer locations. Proceedings of the 13th International Modal Analysis Conference, Nashville, TN, USA."},{"key":"ref_30","unstructured":"Worden, K., Burrows, A., and Tomlinson, G. (1995, January 12\u201315). A combined neural and genetic approach to sensor placement. Proceedings of the 15th International Modal Analysis Conference, Nashville, TN, USA."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1111\/j.1475-1305.2000.tb01175.x","article-title":"Impact location and quantification on a composite panel using neural networks and a genetic algorithm","volume":"36","author":"Worden","year":"2000","journal-title":"Strain"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"795","DOI":"10.1088\/0964-1726\/12\/5\/017","article-title":"Impact damage location in composite structures using optimized sensor triangulation procedure","volume":"12","author":"Coverley","year":"2003","journal-title":"Smart Mater. Struct."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1111\/str.12123","article-title":"Optimum sensor placement for impact location using trilateration","volume":"51","author":"Gherlone","year":"2015","journal-title":"Strain"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"59","DOI":"10.1111\/j.1475-1305.2004.00123.x","article-title":"Sensor optimisation using an ant colony methapor","volume":"40","author":"Overton","year":"2004","journal-title":"Strain"},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"147","DOI":"10.1111\/str.12128","article-title":"A Bee Swarm Algorithm for Optimising Sensor Distributions for Impact Detection on a Composite Panel","volume":"51","author":"Scott","year":"2015","journal-title":"Strain"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"119","DOI":"10.1007\/s11081-007-9023-1","article-title":"Optimal sensor placement for enhancing sensitivity to change in stiffness for structural health monitoring","volume":"9","author":"Beal","year":"2007","journal-title":"Optim. Eng."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1109\/4235.585893","article-title":"No free lunch theorems for optimization","volume":"1","author":"Wolpert","year":"1997","journal-title":"IEEE Trans. Evol. Comput."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1225","DOI":"10.1177\/1475921717750047","article-title":"Structural health monitoring: Closing the gap between research and industrial deployment","volume":"17","author":"Cawley","year":"2018","journal-title":"Struct. Health Monit."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"891","DOI":"10.1016\/j.ymssp.2009.09.003","article-title":"A Bayesian approach to optimal sensor placement for structural health monitoring with application to active sensing","volume":"24","author":"Flynn","year":"2010","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1111\/mice.12332","article-title":"On the Value of Monitoring Information for the Structural Integrity and Risk Management","volume":"33","year":"2018","journal-title":"Comput. Civ. Infrastruct. Eng."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1002\/1096-9845(200102)30:2<149::AID-EQE1>3.0.CO;2-Z","article-title":"One-year monitoring of the Z24-Bridge: Environmental effects versus damage events","volume":"30","author":"Peeters","year":"2001","journal-title":"Earthq. Eng. Struct. Dyn."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"1381","DOI":"10.1177\/1045389X08096050","article-title":"Eliminating Environmental or Operational Influences in Structural Health Monitoring using the Missing Data Analysis","volume":"20","author":"Kullaa","year":"2009","journal-title":"J. Intell. Mater. Syst. Struct."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"2712","DOI":"10.1098\/rspa.2011.0023","article-title":"Cointegration: A novel approach for the removal of environmental trends in structural health monitoring data","volume":"467","author":"Cross","year":"2011","journal-title":"Proc. R. Soc. A"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"217","DOI":"10.1016\/j.ymssp.2012.04.014","article-title":"Load dependent sensor placement method: Theory and experimental validation","volume":"31","author":"Li","year":"2012","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"105","DOI":"10.1016\/j.ymssp.2011.05.019","article-title":"The effect of prediction error correlation on optimal sensor placement in structural dynamics","volume":"28","author":"Papadimitriou","year":"2012","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1016\/j.ymssp.2013.06.022","article-title":"Robustness of optimal sensor placement under parametric uncertainty","volume":"41","author":"Murugan","year":"2013","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_47","unstructured":"Side, S., Staszewski, W., Wardle, R., and Worden, K. (July, January 30). Fail-safe sensor distributions for damage detection. Proceedings of the DAMAS\u201997 International Workshop on Damage Assessment using Advanced Signal Processing Procedures, Sheffield, UK."},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"2976","DOI":"10.1016\/j.ymssp.2011.05.017","article-title":"Distinguishing between sensor fault, structural damage, and environmental or operational effects in structural health monitoring","volume":"25","author":"Kullaa","year":"2011","journal-title":"Mech. Syst. Signal Process."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1109\/TC.2013.195","article-title":"Deploying Wireless Sensor Networks with Fault-Tolerance for Structural Health Monitoring","volume":"64","author":"Bhuiyan","year":"2015","journal-title":"IEEE Trans. Comput."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1016\/j.measurement.2017.05.064","article-title":"Development of sensor validation methodologies for structural health monitoring: A comprehensive review","volume":"109","author":"Yi","year":"2017","journal-title":"Measurement"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"251","DOI":"10.1088\/0964-1726\/13\/2\/002","article-title":"Structural health monitoring using scanning laser vibrometry: I. Lamb wave sensing","volume":"13","author":"Staszewski","year":"2004","journal-title":"Smart Mater. Struct."},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Marks, R., Clarke, A., Featherston, C.A., and Pullin, R. (2017). Optimization of acousto-ultrasonic sensor networks using genetic algorithms based on experimental and numerical data sets. Int. J. Distrib. Sens. Netw., 13.","DOI":"10.1177\/1550147717743702"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"106550","DOI":"10.1016\/j.ymssp.2019.106550","article-title":"On the application of domain adaptation in structural health monitoring","volume":"138","author":"Gardner","year":"2020","journal-title":"Mech. Syst. Signal Process."}],"container-title":["Journal of Sensor and Actuator Networks"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2224-2708\/9\/3\/31\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T09:45:43Z","timestamp":1760175943000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2224-2708\/9\/3\/31"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7,1]]},"references-count":53,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2020,9]]}},"alternative-id":["jsan9030031"],"URL":"https:\/\/doi.org\/10.3390\/jsan9030031","relation":{},"ISSN":["2224-2708"],"issn-type":[{"value":"2224-2708","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,7,1]]}}}