{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T16:03:21Z","timestamp":1777910601542,"version":"3.51.4"},"reference-count":25,"publisher":"SAGE Publications","issue":"13","license":[{"start":{"date-parts":[[2020,6,30]],"date-time":"2020-06-30T00:00:00Z","timestamp":1593475200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61603395, 51707195"],"award-info":[{"award-number":["61603395, 51707195"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Special Program of Talents Development for Excellent Youth Scholars in Tianjin","award":["Null"],"award-info":[{"award-number":["Null"]}]},{"name":"Scientific Research Project of Tianjin Education Commission","award":["2018KJ238"],"award-info":[{"award-number":["2018KJ238"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Transactions of the Institute of Measurement and Control"],"published-print":{"date-parts":[[2020,9]]},"abstract":"<jats:p>An air turbine starter (ATS) is used to start the aero-engine before an aircraft takes off, which plays a significant role in the reliable operation of the aero-engine and is critical to the flight security, so it is vital to monitor the health and predict the remaining useful life (RUL) for the ATS. This paper proposes a fusion framework based on the combination of empirical mode decomposition (EMD) and relevance vector machine (RVM). EMD is used to smooth out the non-stationary data by pattern decomposition, and the multiple intrinsic mode functions (IMF) which can effectively reflect the fault characteristics, are carefully selected from all IMFs by kurtosis index technique. RVM is used to train the selected smooth IMFs samples and establish a regression model for remaining useful life prediction. In addition, the subtraction clustering technique is introduced to reduce the samples scale and speed up the RVM\u2019s training efficiency. The effectiveness of the proposed fusion framework is illustrated via an experiment of ATS, and the results show that the proposed method has satisfactory prediction performance.<\/jats:p>","DOI":"10.1177\/0142331220932651","type":"journal-article","created":{"date-parts":[[2020,6,30]],"date-time":"2020-06-30T03:31:25Z","timestamp":1593487885000},"page":"2578-2588","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":16,"title":["Remaining useful life prediction for the air turbine starter based on empirical mode decomposition and relevance vector machine"],"prefix":"10.1177","volume":"42","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9486-8606","authenticated-orcid":false,"given":"Runxia","family":"Guo","sequence":"first","affiliation":[{"name":"School of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenghua","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ye","family":"Wei","sequence":"additional","affiliation":[{"name":"School of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,6,30]]},"reference":[{"issue":"1","key":"bibr1-0142331220932651","first-page":"35","volume":"64","author":"Abdenour S","year":"2014","journal-title":"IEEE Transactions on Instrumentation and Measurement"},{"key":"bibr2-0142331220932651","doi-asserted-by":"publisher","DOI":"10.1007\/s10043-012-0009-7"},{"key":"bibr3-0142331220932651","first-page":"1540","volume-title":"Proceedings of the IEEE International Conference on Prediction and Health Management (ICPHM)","author":"Biao W","year":"2015"},{"key":"bibr4-0142331220932651","doi-asserted-by":"publisher","DOI":"10.1002\/mrm.25165"},{"issue":"2","key":"bibr5-0142331220932651","first-page":"1","volume":"25","author":"Chen C","year":"2013","journal-title":"IEEE Prediction and Health Management"},{"issue":"12","key":"bibr6-0142331220932651","first-page":"15","volume":"8","author":"Chen R","year":"2012","journal-title":"Instrumentation and Measurement, Computer, Communication and Control (IMCCC)"},{"issue":"3","key":"bibr7-0142331220932651","first-page":"10","volume":"31","author":"Ferreira C","year":"2015","journal-title":"IEEE Xplore Digital Library"},{"key":"bibr8-0142331220932651","doi-asserted-by":"publisher","DOI":"10.1177\/0959651818762978"},{"issue":"12","key":"bibr9-0142331220932651","first-page":"145","volume":"25","author":"Heng L","year":"2016","journal-title":"International Journal on Artificial Intelligence Tools"},{"issue":"2","key":"bibr10-0142331220932651","first-page":"245","volume":"63","author":"Hu X","year":"2016","journal-title":"IEEE\/CSAA International Conference on Aircraft Utility Systems"},{"issue":"4","key":"bibr11-0142331220932651","first-page":"2645","volume":"63","author":"Hu X","year":"2016","journal-title":"IEEE Transactions on Industrial Electronics"},{"issue":"1","key":"bibr12-0142331220932651","first-page":"112","volume":"37","author":"Jiang J","year":"2018","journal-title":"Electrical Drive"},{"key":"bibr13-0142331220932651","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2010.07.006"},{"key":"bibr14-0142331220932651","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2013.2296276"},{"key":"bibr15-0142331220932651","doi-asserted-by":"publisher","DOI":"10.1109\/ICMA.2009.5246213"},{"issue":"4","key":"bibr16-0142331220932651","first-page":"272","volume":"30","author":"Sun B","year":"2015","journal-title":"Transactions of China Electrotechnical Society"},{"key":"bibr17-0142331220932651","doi-asserted-by":"publisher","DOI":"10.1007\/s11668-010-9350-y"},{"issue":"3","key":"bibr18-0142331220932651","first-page":"211","volume":"1","author":"Tipping M","year":"2011","journal-title":"Journal of Machine Learning Research"},{"key":"bibr19-0142331220932651","first-page":"3","volume-title":"Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics","author":"Tipping M","year":"2003"},{"key":"bibr20-0142331220932651","doi-asserted-by":"publisher","DOI":"10.1109\/ICPHM.2017.7998300"},{"key":"bibr21-0142331220932651","doi-asserted-by":"publisher","DOI":"10.1109\/TSTE.2014.2365580"},{"issue":"5","key":"bibr22-0142331220932651","first-page":"25","volume":"17","author":"Zhang C","year":"2017","journal-title":"IEEE Access"},{"key":"bibr23-0142331220932651","doi-asserted-by":"publisher","DOI":"10.1109\/TCST.2016.2576018"},{"issue":"22","key":"bibr24-0142331220932651","first-page":"531","volume":"138","author":"Zhao Chun","year":"2017","journal-title":"Chemical Engineering Science"},{"issue":"6","key":"bibr25-0142331220932651","first-page":"147","volume":"36","author":"Zhou X","year":"2016","journal-title":"Journal of Northeast Dianli University"}],"container-title":["Transactions of the Institute of Measurement and Control"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0142331220932651","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/0142331220932651","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/0142331220932651","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T15:01:34Z","timestamp":1777647694000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/0142331220932651"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,6,30]]},"references-count":25,"journal-issue":{"issue":"13","published-print":{"date-parts":[[2020,9]]}},"alternative-id":["10.1177\/0142331220932651"],"URL":"https:\/\/doi.org\/10.1177\/0142331220932651","relation":{},"ISSN":["0142-3312","1477-0369"],"issn-type":[{"value":"0142-3312","type":"print"},{"value":"1477-0369","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,6,30]]}}}