{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,20]],"date-time":"2026-06-20T16:24:17Z","timestamp":1781972657288,"version":"3.54.5"},"reference-count":41,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"1","license":[{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,3,1]],"date-time":"2020-03-01T00:00:00Z","timestamp":1583020800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"name":"NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization","award":["U1709208"],"award-info":[{"award-number":["U1709208"]}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61673311"],"award-info":[{"award-number":["61673311"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["51421004"],"award-info":[{"award-number":["51421004"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"National Program for Support of Top-Notch Young Professionals"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Rel."],"published-print":{"date-parts":[[2020,3]]},"DOI":"10.1109\/tr.2018.2882682","type":"journal-article","created":{"date-parts":[[2018,12,14]],"date-time":"2018-12-14T21:23:15Z","timestamp":1544822595000},"page":"401-412","source":"Crossref","is-referenced-by-count":1645,"title":["A Hybrid Prognostics Approach for Estimating Remaining Useful Life of Rolling Element Bearings"],"prefix":"10.1109","volume":"69","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-4283-2211","authenticated-orcid":false,"given":"Biao","family":"Wang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5167-1459","authenticated-orcid":false,"given":"Yaguo","family":"Lei","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Naipeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ningbo","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","first-page":"1","article-title":"PRONOSTIA: An experimental platform for bearings accelerated degradation tests","author":"nectoux","year":"2012","journal-title":"presented at the IEEE Int Conf Prognostics Health Manage"},{"key":"ref38","first-page":"4","article-title":"Metrics for offline evaluation of prognostic performance","volume":"1","author":"saxena","year":"2010","journal-title":"Int Conf Prognostics Health Manage"},{"key":"ref33","author":"strutz","year":"2011","journal-title":"Data Fitting and Uncertainty A Practical Introduction to Weighted Least Squares and Beyond"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2011.08.040"},{"key":"ref31","first-page":"1","article-title":"Fast marginal likelihood maximisation for sparse Bayesian models","author":"tipping","year":"2003","journal-title":"presented at the Proc 9th Int Workshop Artif Intell Statist"},{"key":"ref30","first-page":"211","article-title":"Sparse Bayesian learning and the relevance vector machine","volume":"1","author":"tipping","year":"2001","journal-title":"J Mach Learn Res"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2012.08.016"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/s00454-002-2886-1"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1145\/2532646"},{"key":"ref34","first-page":"327","article-title":"Nonparametric approach to improvement of quality of modal parameters estimation","volume":"43","author":"iwaniec","year":"2005","journal-title":"J Theor Appl Mech"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.02.045"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2013.12.010"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2582798"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2013.2285318"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2014.2330494"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2012.03.011"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.3390\/en81112320"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2013.2274415"},{"key":"ref17","doi-asserted-by":"crossref","first-page":"150","DOI":"10.1016\/j.ymssp.2014.10.014","article-title":"Accurate bearing remaining useful life prediction based on Weibull distribution and artificial neural network","volume":"56 57","author":"ali","year":"2015","journal-title":"Mech Syst Signal Process"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2327917"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2014.2299152"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2014.2355531"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1177\/1687814016664660"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1080\/0740817X.2014.999899"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.07.032"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2336616"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2015.02.002"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1080\/0740817X.2012.705451"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1155\/2015\/793161"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.016"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-44742-1"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2010.11.018"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.06.012"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2016.2535368"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2016.2570398"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2014.2313034"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2455055"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2733469"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2013.2270212"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2012.05.004"},{"key":"ref25","article-title":"Physics-based remaining useful life prediction for aircraft engine bearing prognosis","author":"bolander","year":"0","journal-title":"presented at the Annual Conf of the Prognostics and Health Management Society"}],"container-title":["IEEE Transactions on Reliability"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/24\/9023405\/08576668.pdf?arnumber=8576668","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T13:42:40Z","timestamp":1651066960000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8576668\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,3]]},"references-count":41,"journal-issue":{"issue":"1"},"URL":"https:\/\/doi.org\/10.1109\/tr.2018.2882682","relation":{},"ISSN":["0018-9529","1558-1721"],"issn-type":[{"value":"0018-9529","type":"print"},{"value":"1558-1721","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,3]]}}}