{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T14:11:08Z","timestamp":1775571068159,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,3,5]],"date-time":"2021-03-05T00:00:00Z","timestamp":1614902400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,3,5]]},"DOI":"10.1145\/3471985.3472381","type":"proceedings-article","created":{"date-parts":[[2021,10,8]],"date-time":"2021-10-08T04:08:09Z","timestamp":1633666089000},"page":"95-101","update-policy":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":2,"title":["Performance Degradation Prediction of PEMFC Based on Adaptive Variational Mode Decomposition and Deep Belief Network"],"prefix":"10.1145","author":[{"given":"Yucen","family":"Xie","sequence":"first","affiliation":[{"name":"University of Electronic Science and Technology of China, China"}]},{"given":"Jianxiao","family":"Zou","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, China"}]},{"given":"Chao","family":"Peng","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, China"}]},{"given":"Yun","family":"Zhu","sequence":"additional","affiliation":[{"name":"University of Electronic Science and Technology of China, China"}]}],"member":"320","published-online":{"date-parts":[[2021,10,7]]},"reference":[{"key":"e_1_3_2_1_1_1","article-title":"Prognostics methods and degradation indexes of proton exchange membrane fuel cells: A review. Renew. Sust","author":"Liu Hao","year":"2020","journal-title":"Energ. Rev. 123"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijepes.2012.06.026"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TEC.2016.2582531"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2018.2873105"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/ITEC.2018.8449962"},{"key":"e_1_3_2_1_6_1","volume-title":"Estimating the end-of-life of PEM fuel cells: Guidelines and metrics. Appl. Energy. 177 (September","author":"Jouin Marine","year":"2019"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2586022"},{"key":"e_1_3_2_1_8_1","volume-title":"Control algorithm design for degradation mitigation and lifetime improvement of Polymer Electrolyte Membrane Fuel Cells. Energy Procedia. 142 (August","author":"Polverino Pierpaolo","year":"2017"},{"key":"e_1_3_2_1_9_1","first-page":"3","article-title":"Fuel cell health prognosis using Unscented Kalman Filter: Postal fuel cell electric vehicles case study","volume":"44","author":"Chen Kui","year":"2019","journal-title":"Int. J. Hydrog. Energy."},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2016.2519328"},{"key":"e_1_3_2_1_11_1","first-page":"21","article-title":"Proton exchange membrane fuel cell degradation prediction based on Adaptive Neuro-Fuzzy Inference","volume":"39","author":"Silva R.E.","year":"2014","journal-title":"Systems. Int. J. Hydrog. Energy."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2019.2893867"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIE.2020.3007081"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.apenergy.2019.113439"},{"key":"e_1_3_2_1_15_1","first-page":"11","article-title":"Remaining useful life prediction of PEMFC based on long short-term memory recurrent neural networks","volume":"44","author":"Liu Jiawei","year":"2019","journal-title":"Int. J. Hydrog. Energy."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3026487"},{"key":"e_1_3_2_1_17_1","volume-title":"Retrieved","author":"Research FCLAB","year":"2014"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2013.2288675"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMECH.2017.2787686"},{"key":"e_1_3_2_1_20_1","first-page":"6","article-title":"Physiological time-series analysis using approximate entropy and sample entropy","volume":"278","author":"Richman Joshua S.","year":"2020","journal-title":"Am. J. Physiol.-Heart Circul. Physiol."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1109\/FUZZY.1998.686334"}],"event":{"name":"ICRCA 2021: 2021 the 5th International Conference on Robotics, Control and Automation","location":"Seoul Republic of Korea","acronym":"ICRCA 2021"},"container-title":["2021 the 5th International Conference on Robotics, Control and Automation"],"original-title":[],"link":[{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/dl.acm.org\/doi\/10.1145\/3471985.3472381","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/dl.acm.org\/doi\/pdf\/10.1145\/3471985.3472381","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T21:24:50Z","timestamp":1750195490000},"score":1,"resource":{"primary":{"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/dl.acm.org\/doi\/10.1145\/3471985.3472381"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,3,5]]},"references-count":21,"alternative-id":["10.1145\/3471985.3472381","10.1145\/3471985"],"URL":"https:\/\/linproxy.fan.workers.dev:443\/https\/doi.org\/10.1145\/3471985.3472381","relation":{},"subject":[],"published":{"date-parts":[[2021,3,5]]},"assertion":[{"value":"2021-10-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}