{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,27]],"date-time":"2026-07-27T14:32:33Z","timestamp":1785162753589,"version":"3.55.0"},"reference-count":41,"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":["51337001"],"award-info":[{"award-number":["51337001"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2020]]},"DOI":"10.1109\/access.2020.2981261","type":"journal-article","created":{"date-parts":[[2020,3,16]],"date-time":"2020-03-16T19:24:56Z","timestamp":1584386696000},"page":"53307-53320","source":"Crossref","is-referenced-by-count":219,"title":["State of Health Monitoring and Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Temporal Convolutional Network"],"prefix":"10.1109","volume":"8","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8808-9956","authenticated-orcid":false,"given":"Danhua","family":"Zhou","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zhanying","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jiali","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haichuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lin","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1098\/rspa.1998.0193"},{"key":"ref38","first-page":"1929","article-title":"Dropout: A simple way to prevent neural networks from overfitting","volume":"15","author":"srivastava","year":"2014","journal-title":"J Mach Learn Res"},{"key":"ref33","article-title":"WaveNet: A generative model for raw audio","author":"van den oord","year":"2016","journal-title":"arXiv 1609 03499"},{"key":"ref32","article-title":"An empirical evaluation of generic convolutional and recurrent networks for sequence modeling","author":"bai","year":"2018","journal-title":"arXiv 1803 01271"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1038\/s41560-019-0356-8"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.microrel.2012.12.003"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2017.2699184"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00163"},{"key":"ref34","article-title":"Multi-scale context aggregation by dilated convolutions","author":"yu","year":"2015","journal-title":"arXiv 1511 07122"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2017.12.033"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5947265"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1115\/DETC2018-86347"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2920932"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2018.03.015"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2018.11.072"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.24846\/v19i3y201001"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2018.02.022"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.3390\/en12122247"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.3390\/en12193678"},{"key":"ref19","article-title":"Temporal convolutional memory networks for remaining useful life estimation of industrial machinery","author":"jayasinghe","year":"2018","journal-title":"arXiv 1810 05644"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2014.07.176"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.03.053"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2019.04.014"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.2514\/6.2019-0785"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.4271\/2015-01-0252"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/TIM.2008.2005965"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.electacta.2019.02.104"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.05.038"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2015.11.070"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2019.109254"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2018.01.010"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/j.rser.2017.05.001"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2018.01.106"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.energy.2019.03.059"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1016\/j.est.2018.12.011"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2913078"},{"key":"ref41","article-title":"Network in network","author":"lin","year":"2013","journal-title":"arXiv 1312 4400"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/TVT.2018.2805189"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2925468"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpowsour.2019.227149"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/8948470\/09037249.pdf?arnumber=9037249","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,12]],"date-time":"2022-01-12T01:09:12Z","timestamp":1641949752000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9037249\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/access.2020.2981261","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020]]}}}