{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,7]],"date-time":"2026-02-07T08:52:00Z","timestamp":1770454320569,"version":"3.49.0"},"reference-count":23,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2020,1,1]],"date-time":"2020-01-01T00:00:00Z","timestamp":1577836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61601505"],"award-info":[{"award-number":["61601505"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shaanxi Province Innovative Talent Promotion Program","award":["2018KJXX-002"],"award-info":[{"award-number":["2018KJXX-002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2982223","type":"journal-article","created":{"date-parts":[[2020,3,20]],"date-time":"2020-03-20T19:55:33Z","timestamp":1584734133000},"page":"71965-71973","source":"Crossref","is-referenced-by-count":31,"title":["Research on Remaining Useful Life Prognostics Based on Fuzzy Evaluation-Gaussian Process Regression Method"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6631-4972","authenticated-orcid":false,"given":"Weijie","family":"Kang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiyang","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mingqing","family":"Xiao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3892-129X","authenticated-orcid":false,"given":"Yangguang","family":"Hu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haizhen","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2474-8692","authenticated-orcid":false,"given":"Jianfeng","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejor.2006.09.054"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s150307062"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2011.151"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.acme.2014.12.009"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/IECON.2016.7793002"},{"key":"ref15","article-title":"Indirect prediction method for residual life of lithium ion batteries","author":"pang","year":"2014","journal-title":"Journal of Science and Technology-China"},{"key":"ref16","article-title":"Prediction and health management technology review","volume":"24","author":"peng","year":"2010","journal-title":"J Electron Meas Instrum"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2017.04.035"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2017.09.008"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/IGARSS.2013.6723053"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMM.190-191.241"},{"key":"ref3","first-page":"2219","article-title":"Probabilistic prediction of remaining life of lithium batteries based on Bayesian LS-SVR","volume":"34","author":"chen","year":"2013","journal-title":"Acta aeronauta Sinica"},{"key":"ref6","article-title":"Method of failure prediction and evaluation based on MFCC feature extraction","author":"fei","year":"2015","journal-title":"Journal of Applied Computing Research"},{"key":"ref5","article-title":"Peak power prediction model for batteries based on data statistical characteristic and GS-SVM","author":"fangdan","year":"2017","journal-title":"Elect Power Automat Equip"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsp.2013.12.010"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2017.02.045"},{"key":"ref2","article-title":"Prediction for state of charge of lead-acid battery by particleswarm optimization with Gaussian process regression","author":"bintai","year":"2018","journal-title":"J Nanjing Univ Sci Technol"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1007\/s00366-018-0686-3"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ymssp.2013.08.002"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijmachtools.2007.08.009"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ICQR2MSE.2011.5976668"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.4028\/www.scientific.net\/AMR.557-559.2122"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TPWRS.2014.2347699"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09043485.pdf?arnumber=9043485","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,17]],"date-time":"2021-12-17T19:52:30Z","timestamp":1639770750000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9043485\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":23,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2982223","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}