{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T05:56:42Z","timestamp":1768802202733,"version":"3.49.0"},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2018,7,18]],"date-time":"2018-07-18T00:00:00Z","timestamp":1531872000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"name":"Funding of the Jiangsu Innovation Program for Graduate Education","award":["KYLX_0305"],"award-info":[{"award-number":["KYLX_0305"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51176075"],"award-info":[{"award-number":["51176075"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2019,7]]},"DOI":"10.1007\/s13042-018-0855-0","type":"journal-article","created":{"date-parts":[[2018,7,18]],"date-time":"2018-07-18T21:42:33Z","timestamp":1531950153000},"page":"1779-1790","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["Fault diagnosis based on relevance vector machine for fuel regulator of aircraft engine"],"prefix":"10.1007","volume":"10","author":[{"given":"Jun","family":"Zhou","sequence":"first","affiliation":[]},{"given":"Yuan","family":"Liu","sequence":"additional","affiliation":[]},{"given":"Tianhong","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,7,18]]},"reference":[{"key":"855_CR1","unstructured":"Garg S (2002) Propulsion controls and health management research at NASA glenn research center. NASA\/TM\u20142002-211590. \n                    https:\/\/ntrs.nasa.gov\/archive\/nasa\/casi.ntrs.nasa.gov\/20020070834.pdf"},{"key":"855_CR2","doi-asserted-by":"crossref","unstructured":"Martucci A (1998) Fault detection and accommodation in real time embedded full authority digital electronic engine controls. In: ASME 1998 international gas turbine and aeroengine congress and exhibition, 1998. American Society of Mechanical Engineers, pp V005T015A011\u2013V005T015A011","DOI":"10.1115\/98-GT-155"},{"key":"855_CR3","doi-asserted-by":"crossref","unstructured":"Kobayashi T, Simon DL (2003) Application of a bank of Kalman filters for aircraft engine fault diagnostics. In: ASME Turbo Expo 2003, collocated with the 2003 international joint power generation conference, 2003. American Society of Mechanical Engineers, pp\u00a0461\u2013470","DOI":"10.1115\/GT2003-38550"},{"issue":"7","key":"855_CR4","doi-asserted-by":"publisher","first-page":"071203","DOI":"10.1115\/1.4023902","volume":"135","author":"DL Simon","year":"2013","unstructured":"Simon DL, Armstrong JB (2013) An integrated approach for aircraft engine performance estimation and fault diagnostics. J Eng Gas Turbines Power 135(7):071203","journal-title":"J Eng Gas Turbines Power"},{"key":"855_CR5","doi-asserted-by":"publisher","first-page":"22","DOI":"10.1016\/j.jprocont.2015.08.007","volume":"36","author":"SS Tayarani-Bathaie","year":"2015","unstructured":"Tayarani-Bathaie SS, Khorasani K (2015) Fault detection and isolation of gas turbine engines using a bank of neural networks. J Process Control 36:22\u201341","journal-title":"J Process Control"},{"issue":"4","key":"855_CR6","doi-asserted-by":"publisher","first-page":"917","DOI":"10.1115\/1.1419016","volume":"125","author":"AJ Volponi","year":"2003","unstructured":"Volponi AJ, DePold H, Ganguli R, Daguang C (2003) The use of Kalman filter and neural network methodologies in gas turbine performance diagnostics: a comparative study. J Eng Gas Turbines Power 125(4):917\u2013924","journal-title":"J Eng Gas Turbines Power"},{"issue":"2","key":"855_CR7","doi-asserted-by":"publisher","first-page":"559","DOI":"10.1007\/s12206-008-1119-9","volume":"23","author":"S-M Lee","year":"2009","unstructured":"Lee S-M, Roh T-S, Choi D-W (2009) Defect diagnostics of SUAV gas turbine engine using hybrid SVM-artificial neural network method. J Mech Sci Technol 23(2):559\u2013568","journal-title":"J Mech Sci Technol"},{"issue":"6","key":"855_CR8","doi-asserted-by":"publisher","first-page":"3757","DOI":"10.1109\/TIE.2015.2417501","volume":"62","author":"Z Gao","year":"2015","unstructured":"Gao Z, Cecati C, Ding SX (2015) A survey of fault diagnosis and fault-tolerant techniques\u2014Part I: fault diagnosis with model-based and signal-based approaches. IEEE Trans Industr Electron 62(6):3757\u20133767","journal-title":"IEEE Trans Industr Electron"},{"issue":"6","key":"855_CR9","first-page":"3768","volume":"62","author":"Z Gao","year":"2015","unstructured":"Gao Z, Cecati C, Ding SX (2015) A survey of fault diagnosis and fault-tolerant techniques\u2014Part II: fault diagnosis with knowledge-based and hybrid\/active approaches. IEEE Trans Industr Electron 62(6):3768\u20133774","journal-title":"IEEE Trans Industr Electron"},{"key":"855_CR10","doi-asserted-by":"publisher","first-page":"238","DOI":"10.1016\/j.asoc.2014.05.014","volume":"22","author":"CM Vong","year":"2014","unstructured":"Vong CM, Wong PK, Wong KI (2014) Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis. Appl Soft Comput 22:238\u2013248","journal-title":"Appl Soft Comput"},{"key":"855_CR11","doi-asserted-by":"publisher","first-page":"331","DOI":"10.1016\/j.neucom.2015.02.097","volume":"174","author":"PK Wong","year":"2016","unstructured":"Wong PK, Zhong J, Yang Z, Vong CM (2016) Sparse Bayesian extreme learning committee machine for engine simultaneous fault diagnosis. Neurocomputing 174:331\u2013343","journal-title":"Neurocomputing"},{"issue":"3","key":"855_CR12","doi-asserted-by":"publisher","first-page":"746","DOI":"10.1115\/1.2718572","volume":"129","author":"T Kobayashi","year":"2007","unstructured":"Kobayashi T, Simon DL (2007) Hybrid kalman filter approach for aircraft engine in-flight diagnostics: sensor fault detection case. Journal of Eng Gas Turbines Power 129(3):746\u2013754","journal-title":"Journal of Eng Gas Turbines Power"},{"key":"855_CR13","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/j.conengprac.2015.01.006","volume":"38","author":"S Rahme","year":"2015","unstructured":"Rahme S, Meskin N (2015) Adaptive sliding mode observer for sensor fault diagnosis of an industrial gas turbine. Control Eng Pract 38:57\u201374","journal-title":"Control Eng Pract"},{"key":"855_CR14","doi-asserted-by":"publisher","first-page":"328","DOI":"10.1016\/j.measurement.2015.03.003","volume":"68","author":"Y Yu","year":"2015","unstructured":"Yu Y, Li W, Sheng D, Chen J (2015) A novel sensor fault diagnosis method based on modified ensemble empirical mode decomposition and probabilistic neural network. Measurement 68:328\u2013336","journal-title":"Measurement"},{"issue":"10","key":"855_CR15","doi-asserted-by":"publisher","first-page":"9928","DOI":"10.3390\/s111009928","volume":"11","author":"B Yu","year":"2011","unstructured":"Yu B, Liu D, Zhang T (2011) Fault diagnosis for micro-gas turbine engine sensors via wavelet entropy. Sensors 11(10):9928\u20139941","journal-title":"Sensors"},{"issue":"4","key":"855_CR16","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1179\/014426010X12839334040771","volume":"83","author":"J Chen","year":"2010","unstructured":"Chen J, Wang Y, Weng S (2010) Research on fault detection and identification of gas turbines sensors based on wavelet entropy. J Energy Inst 83(4):202\u2013209","journal-title":"J Energy Inst"},{"issue":"7","key":"855_CR17","doi-asserted-by":"publisher","first-page":"827","DOI":"10.1016\/j.conengprac.2003.09.011","volume":"12","author":"N Aretakis","year":"2004","unstructured":"Aretakis N, Mathioudakis K, Stamatis A (2004) Identification of sensor faults on turbofan engines using pattern recognition techniques. Control Eng Pract 12(7):827\u2013836","journal-title":"Control Eng Pract"},{"issue":"4","key":"855_CR18","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1016\/S0306-2619(02)00015-6","volume":"71","author":"S Ogaji","year":"2002","unstructured":"Ogaji S, Singh R, Probert S (2002) Multiple-sensor fault-diagnoses for a 2-shaft stationary gas-turbine. Appl Energy 71(4):321\u2013339","journal-title":"Appl Energy"},{"issue":"2","key":"855_CR19","doi-asserted-by":"publisher","first-page":"145","DOI":"10.1016\/S1000-9361(09)60198-9","volume":"23","author":"Y Zhao","year":"2010","unstructured":"Zhao Y, Sun J (2010) Fast online approximation for hard support vector regression and its application to analytical redundancy for aeroengines. Chin J Aeronaut 23(2):145\u2013152","journal-title":"Chin J Aeronaut"},{"issue":"1","key":"855_CR20","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1115\/1.1995771","volume":"128","author":"S Sampath","year":"2006","unstructured":"Sampath S, Singh R (2006) An integrated fault diagnostics model using genetic algorithm and neural networks. J Eng Gas Turbines Power 128(1):49\u201356","journal-title":"J Eng Gas Turbines Power"},{"key":"855_CR21","unstructured":"Kobayashi T (2003) Aircraft engine sensor\/actuator\/component fault diagnosis using a bank of kalman filters. NASA\/CR\u20142003-212298. \n                    https:\/\/ntrs.nasa.gov\/archive\/nasa\/casi.ntrs.nasa.gov\/20030032975.pdf"},{"key":"855_CR22","doi-asserted-by":"crossref","unstructured":"Kong C, Lim S (2011) Study on fault diagnostics of a turboprop engine using inverse performance model and artificial intelligent methods. In: ASME 2011 Turbo Expo: turbine technical conference and exposition, 2011. American Society of Mechanical Engineers, pp\u00a075\u201383","DOI":"10.1115\/GT2011-45336"},{"key":"855_CR23","unstructured":"Mahmood S, Griffin I, Fleming P (2001) Application of the Rolls Royce inverse model to trent aero engines. Mahmood S, MSc in Control Systems"},{"key":"855_CR24","doi-asserted-by":"crossref","unstructured":"Lichtsinder M, Levy Y (2005) Jet engine component and transducer fault diagnosis using an inverse dynamic model. In: ASME turbo expo 2005: power for land, sea, and air, 2005. American Society of Mechanical Engineers, pp\u00a0571\u2013582","DOI":"10.1115\/GT2005-68318"},{"key":"855_CR25","first-page":"211","volume":"1","author":"ME Tipping","year":"2001","unstructured":"Tipping ME (2001) Sparse Bayesian learning and the relevance vector machine. J Mach Learn Res 1:211\u2013244","journal-title":"J Mach Learn Res"},{"issue":"12","key":"855_CR26","doi-asserted-by":"publisher","first-page":"10681","DOI":"10.1016\/j.eswa.2012.02.199","volume":"39","author":"E Zio","year":"2012","unstructured":"Zio E, Di Maio F (2012) Fatigue crack growth estimation by relevance vector machine. Expert Syst Appl 39(12):10681\u201310692","journal-title":"Expert Syst Appl"},{"issue":"2","key":"855_CR27","doi-asserted-by":"publisher","first-page":"291","DOI":"10.1109\/TIM.2008.2005965","volume":"58","author":"B Saha","year":"2009","unstructured":"Saha B, Goebel K, Poll S, Christophersen J (2009) Prognostics methods for battery health monitoring using a Bayesian framework. IEEE Trans Instrum Meas 58(2):291\u2013296","journal-title":"IEEE Trans Instrum Meas"},{"issue":"3","key":"855_CR28","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1080\/15435075.2014.891513","volume":"12","author":"KI Wong","year":"2015","unstructured":"Wong KI, Wong PK, Cheung CS (2015) Modelling and prediction of diesel engine performance using relevance vector machine. Int J Green Energy 12(3):265\u2013271","journal-title":"Int J Green Energy"},{"key":"855_CR29","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/123730","author":"L Hu","year":"2015","unstructured":"Hu L, Hu NQ, Fan B, Gu FS, Zhang XY (2015) Modeling the relationship between vibration features and condition parameters using relevance vector machines for health monitoring of rolling element bearings under varying operation conditions.\u00a0Math Probl Eng. \n                    https:\/\/doi.org\/10.1155\/2015\/123730","journal-title":"Math Probl Eng"},{"key":"855_CR30","doi-asserted-by":"publisher","first-page":"33","DOI":"10.1016\/j.chemolab.2012.11.016","volume":"121","author":"H Fei","year":"2013","unstructured":"Fei H, Jinwu X, Min L, Jianhong Y (2013) Product quality modelling and prediction based on wavelet relevance vector machines. Chemometr Intell Lab Syst 121:33\u201341","journal-title":"Chemometr Intell Lab Syst"},{"issue":"12","key":"855_CR31","doi-asserted-by":"publisher","first-page":"6157","DOI":"10.1109\/TAP.2013.2281356","volume":"61","author":"JA Cal-Braz","year":"2013","unstructured":"Cal-Braz JA, Matos LJ, Cataldo E (2013) The relevance vector machine applied to the modeling of wireless channels. IEEE Trans Antennas Propagation 61(12):6157\u20136167","journal-title":"IEEE Trans Antennas Propagation"},{"issue":"2","key":"855_CR32","doi-asserted-by":"publisher","first-page":"222","DOI":"10.1109\/TFUZZ.2005.864083","volume":"14","author":"J Kim","year":"2006","unstructured":"Kim J, Suga Y, Won S (2006) A new approach to fuzzy modeling of nonlinear dynamic systems with noise: relevance vector learning mechanism. IEEE Trans Fuzzy Syst 14(2):222\u2013231","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"855_CR33","doi-asserted-by":"crossref","unstructured":"Fathy HK, Filipi ZS, Hagena J, Stein JL (2006) Review of hardware-in-the-loop simulation and its prospects in the automotive area. In: Defense and Security Symposium, 2006. International Society for Optics and Photonics, pp\u00a062280E\u201362280E\u201362220","DOI":"10.1117\/12.667794"},{"issue":"2","key":"855_CR34","doi-asserted-by":"publisher","first-page":"468","DOI":"10.1109\/TNS.2010.2103325","volume":"58","author":"DJ Rankin","year":"2011","unstructured":"Rankin DJ, Jiang J (2011) A hardware-in-the-loop simulation platform for the verification and validation of safety control systems. IEEE Trans Nuclear Sci 58(2):468\u2013478","journal-title":"IEEE Trans Nuclear Sci"},{"issue":"5","key":"855_CR35","doi-asserted-by":"publisher","first-page":"643","DOI":"10.1016\/S0967-0661(98)00205-6","volume":"7","author":"R Isermann","year":"1999","unstructured":"Isermann R, Schaffnit J, Sinsel S (1999) Hardware-in-the-loop simulation for the design and testing of engine-control systems. Control Eng Pract 7(5):643\u2013653","journal-title":"Control Eng Pract"},{"issue":"3","key":"855_CR36","doi-asserted-by":"publisher","first-page":"693","DOI":"10.1115\/1.1805012","volume":"127","author":"H Zhang","year":"2005","unstructured":"Zhang H, Su M, Weng S (2005) Hardware-in-the-loop simulation study on the fuel control strategy of a gas turbine engine. J Eng Gas Turbines Power 127(3):693\u2013695","journal-title":"J Eng Gas Turbines Power"},{"issue":"3","key":"855_CR37","doi-asserted-by":"publisher","first-page":"996","DOI":"10.1016\/j.simpat.2010.12.011","volume":"19","author":"M Montazeri-Gh","year":"2011","unstructured":"Montazeri-Gh M, Nasiri M, Jafari S (2011) Real-time multi-rate HIL simulation platform for evaluation of a jet engine fuel controller. Simul Model Pract Theory 19(3):996\u20131006","journal-title":"Simul Model Pract Theory"},{"issue":"1","key":"855_CR38","doi-asserted-by":"publisher","first-page":"65","DOI":"10.1016\/j.simpat.2011.09.006","volume":"21","author":"M Montazeri-Gh","year":"2012","unstructured":"Montazeri-Gh M, Nasiri M, Rajabi M, Jamshidfard M (2012) Actuator-based hardware-in-the-loop testing of a jet engine fuel control unit in flight conditions. Simul Model Pract Theory 21(1):65\u201377","journal-title":"Simul Model Pract Theory"},{"issue":"2","key":"855_CR39","doi-asserted-by":"publisher","first-page":"225","DOI":"10.1177\/0037549712466153","volume":"89","author":"M Montazeri-Gh","year":"2013","unstructured":"Montazeri-Gh M, Nasiri M (2013) Hardware-in-the-loop simulation for testing of electro-hydraulic fuel control unit in a jet engine application. Simulation 89(2):225\u2013233","journal-title":"Simulation"},{"key":"855_CR40","doi-asserted-by":"publisher","first-page":"003754971453430","DOI":"10.1177\/0037549714534301","volume":"90","author":"S Hashemi","year":"2014","unstructured":"Hashemi S, Montazeri M, Nasiri M (2014) The compensation of actuator delay for hardware-in-the-loop simulation of a jet engine fuel control unit. Simulation 90:0037549714534301","journal-title":"Simulation"},{"issue":"8","key":"855_CR41","doi-asserted-by":"publisher","first-page":"11061","DOI":"10.3390\/s120811061","volume":"12","author":"F Lu","year":"2012","unstructured":"Lu F, Huang J, Xing Y (2012) Fault diagnostics for turbo-shaft engine sensors based on a simplified on-board model. Sensors 12(8):11061\u201311076","journal-title":"Sensors"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-018-0855-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-018-0855-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-018-0855-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,22]],"date-time":"2019-09-22T04:47:07Z","timestamp":1569127627000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-018-0855-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,7,18]]},"references-count":41,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2019,7]]}},"alternative-id":["855"],"URL":"https:\/\/doi.org\/10.1007\/s13042-018-0855-0","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,7,18]]},"assertion":[{"value":"19 April 2016","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"11 July 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"18 July 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}