{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T01:51:43Z","timestamp":1768873903359,"version":"3.49.0"},"reference-count":35,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,1,1]],"date-time":"2025-01-01T00:00:00Z","timestamp":1735689600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012586","name":"Open Research Fund of the State Key Laboratory for Fine Exploration and Intelligent Development of Coal Resources","doi-asserted-by":"publisher","award":["SKLCRSM24KF009"],"award-info":[{"award-number":["SKLCRSM24KF009"]}],"id":[{"id":"10.13039\/501100012586","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100007166","name":"Jiangsu Provincial Department of Education","doi-asserted-by":"publisher","award":["JSSCTD202448"],"award-info":[{"award-number":["JSSCTD202448"]}],"id":[{"id":"10.13039\/501100007166","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Eighth Young Elite Scientists Sponsorship Program by CAST","award":["2022QNRC001"],"award-info":[{"award-number":["2022QNRC001"]}]},{"DOI":"10.13039\/501100012236","name":"Beijing Institute of Technology Research Fund Program for Young Scholars","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100012236","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Instrum. Meas."],"published-print":{"date-parts":[[2025]]},"DOI":"10.1109\/tim.2025.3588954","type":"journal-article","created":{"date-parts":[[2025,7,17]],"date-time":"2025-07-17T17:58:43Z","timestamp":1752775123000},"page":"1-10","source":"Crossref","is-referenced-by-count":3,"title":["Bearing RUL Prediction Using Composite Health Index-Based Gaussian Process Regression Model With a Dynamic Change Point"],"prefix":"10.1109","volume":"74","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5980-4527","authenticated-orcid":false,"given":"Wei","family":"Fan","sequence":"first","affiliation":[{"name":"School of Mechanical Engineering, Jiangsu University, Zhenjiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2396-5476","authenticated-orcid":false,"given":"Shuman","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Jiangsu University, Zhenjiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4464-0267","authenticated-orcid":false,"given":"Zhenqiang","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Jiangsu University, Zhenjiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8453-8032","authenticated-orcid":false,"given":"Jianing","family":"Man","sequence":"additional","affiliation":[{"name":"Institute of Industrial and Intelligent System Engineering, Beijing Institute of Technology, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1410-5466","authenticated-orcid":false,"given":"Chao","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Mechanical Engineering, Jiangsu University, Zhenjiang, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2079-3867","authenticated-orcid":false,"given":"Long","family":"Chen","sequence":"additional","affiliation":[{"name":"School of Automotive and Traffic Engineering, Jiangsu University, Zhenjiang, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TASE.2020.2994741"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3390\/agriculture13122232"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.021"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2024.3462723"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2022.108758"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2022.108610"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.016"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1177\/1687814016664660"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.06.031"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2017.11.011"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2021.107927"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1016\/j.fbp.2024.04.003"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1111\/jfpe.13897"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TTE.2019.2944802"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.actaastro.2018.10.029"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2016.07.039"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1617\/s11527-021-01646-5"},{"issue":"2","key":"ref18","first-page":"695","article-title":"Bearing remaining life prediction using Gaussian process regression with composite kernel functions","volume":"17","author":"Hong","year":"2015","journal-title":"J. Vibroeng."},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2019.2924509"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2017.2733487"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2015.2455055"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TII.2016.2535368"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2016.2570398"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1080\/00224065.1999.11979913"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.3390\/s21010182"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2586442"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/6649125"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2013.2270212"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2014.2327917"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/S0167-9473(03)00153-1"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2016.2608001"},{"key":"ref32","first-page":"1","article-title":"PRONOSTIA: An experimental platform for bearings accelerated degradation tests","volume-title":"Proc. IEEE Int. Conf. Prognostics Health Manage.","author":"Nectoux"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2018.2882682"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2021.3098737"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2018.2813305"}],"container-title":["IEEE Transactions on Instrumentation and Measurement"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/19\/10764799\/11083652.pdf?arnumber=11083652","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,30]],"date-time":"2025-07-30T18:50:34Z","timestamp":1753901434000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11083652\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025]]},"references-count":35,"URL":"https:\/\/doi.org\/10.1109\/tim.2025.3588954","relation":{},"ISSN":["0018-9456","1557-9662"],"issn-type":[{"value":"0018-9456","type":"print"},{"value":"1557-9662","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025]]}}}