{"id":"https://openalex.org/W2942567107","doi":"https://doi.org/10.1109/access.2019.2914221","title":"A Robust Hybrid Filtering Method for Accurate Battery Remaining Useful Life Prediction","display_name":"A Robust Hybrid Filtering Method for Accurate Battery Remaining Useful Life Prediction","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2942567107","doi":"https://doi.org/10.1109/access.2019.2914221","mag":"2942567107"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2914221","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2914221","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08703743.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08703743.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015337422","display_name":"Xifeng Li","orcid":"https://orcid.org/0000-0002-0802-5435"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xifeng Li","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0802-5435","affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033429436","display_name":"Libiao Peng","orcid":"https://orcid.org/0000-0002-0708-6746"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Libiao Peng","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-0708-6746","affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019913589","display_name":"Le Gao","orcid":"https://orcid.org/0000-0001-6311-4521"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Gao","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-6311-4521","affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052255539","display_name":"Dongjie Bi","orcid":"https://orcid.org/0000-0002-8995-5123"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongjie Bi","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101630576","display_name":"Xuan Xie","orcid":"https://orcid.org/0000-0003-2155-7492"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Xie","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033082360","display_name":"Yongle Xie","orcid":"https://orcid.org/0000-0001-5019-0007"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongle Xie","raw_affiliation_strings":["School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I150229711"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.9872,"has_fulltext":true,"cited_by_count":21,"citation_normalized_percentile":{"value":0.77757487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"57843","last_page":"57856"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9976000189781189,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9896000027656555,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10534","display_name":"Structural Health Monitoring Techniques","score":0.9860000014305115,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7795695662498474},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.7078875303268433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6831245422363281},{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.6139517426490784},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4924129247665405},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.4392152428627014},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41349172592163086},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33433854579925537},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3342360258102417}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7795695662498474},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.7078875303268433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6831245422363281},{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.6139517426490784},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4924129247665405},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.4392152428627014},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41349172592163086},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33433854579925537},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3342360258102417},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2914221","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2914221","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08703743.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:37a42debe3b44d3fb98061feb50986ef","is_oa":true,"landing_page_url":"https://doaj.org/article/37a42debe3b44d3fb98061feb50986ef","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 57843-57856 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2914221","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2914221","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08703743.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","score":0.5699999928474426,"display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G2623518609","display_name":null,"funder_award_id":"Grant 61801089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2742809455","display_name":null,"funder_award_id":"Grant 61601096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3782178544","display_name":null,"funder_award_id":"Grant 61701095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4481151260","display_name":null,"funder_award_id":"61601084","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5762377292","display_name":null,"funder_award_id":"61801089","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6178384297","display_name":null,"funder_award_id":"61701095","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7024534440","display_name":null,"funder_award_id":"61601096","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7989254677","display_name":null,"funder_award_id":"61371049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8781005768","display_name":null,"funder_award_id":"60871056","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2942567107.pdf","grobid_xml":"https://content.openalex.org/works/W2942567107.grobid-xml"},"referenced_works_count":41,"referenced_works":["https://openalex.org/W930082539","https://openalex.org/W1015042224","https://openalex.org/W1550746551","https://openalex.org/W2012595183","https://openalex.org/W2055873761","https://openalex.org/W2070111889","https://openalex.org/W2072035745","https://openalex.org/W2078279667","https://openalex.org/W2115233498","https://openalex.org/W2116870707","https://openalex.org/W2123487311","https://openalex.org/W2142724780","https://openalex.org/W2153290280","https://openalex.org/W2167932108","https://openalex.org/W2317744239","https://openalex.org/W2481926318","https://openalex.org/W2544905596","https://openalex.org/W2551714397","https://openalex.org/W2583099552","https://openalex.org/W2584089850","https://openalex.org/W2586311465","https://openalex.org/W2591645937","https://openalex.org/W2612210564","https://openalex.org/W2625850062","https://openalex.org/W2729150869","https://openalex.org/W2759525351","https://openalex.org/W2774791859","https://openalex.org/W2789481185","https://openalex.org/W2790625295","https://openalex.org/W2791494814","https://openalex.org/W2791632718","https://openalex.org/W2794403697","https://openalex.org/W2806080235","https://openalex.org/W2883035999","https://openalex.org/W2888518795","https://openalex.org/W2891470939","https://openalex.org/W2895905230","https://openalex.org/W2901291915","https://openalex.org/W2912477292","https://openalex.org/W2915034955","https://openalex.org/W4230367971"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W1977636359","https://openalex.org/W2385286892","https://openalex.org/W2350927655"],"abstract_inverted_index":{"Accurate":[0],"remaining":[1],"useful":[2],"life":[3],"(RUL)":[4],"prediction":[5,69,84,126,150,190,209,243],"under":[6],"the":[7,15,23,26,39,50,64,86,101,111,124,137,148,161,165,173,177,182,186,195,199,203,208,214,222,229,247],"noisy":[8,174],"environment":[9],"is":[10,34,79,97,107,141,144,169],"a":[11,93,129,154],"big":[12],"challenge":[13],"for":[14,202],"health":[16],"management":[17],"of":[18,25,198],"modern":[19],"industrial":[20],"systems":[21],"since":[22],"extraction":[24],"accurate":[27,156],"data":[28,33,118,179,184,248],"structure":[29],"from":[30,115,185],"heavily":[31],"corrupted":[32],"difficult.":[35],"In":[36],"recent":[37],"years,":[38],"kernel":[40],"adaptive":[41],"filter":[42,133,172],"(KAF)":[43],"has":[44,225],"been":[45],"widely":[46],"adopted":[47,193],"to":[48,55,109,122,152,171,206,212,240],"solve":[49],"robust":[51,94,130],"regression":[52],"problem":[53],"due":[54],"its":[56],"low-complexity":[57],"and":[58,61,73,119,157,211,233],"high-approximation":[59],"capability":[60],"robustness":[62,227],"while":[63],"applications":[65],"in":[66],"battery":[67],"RUL":[68,83],"are":[70,180,192],"still":[71],"few":[72],"far":[74],"between.":[75],"Thus,":[76],"this":[77],"paper":[78],"concerned":[80],"with":[81,147],"long-term":[82,125],"using":[85],"KAF":[87,95],"method.":[88],"At":[89],"first,":[90],"concretely":[91],"speaking,":[92],"algorithm":[96,135,168,205],"derived":[98],"based":[99],"on":[100],"double-Gaussian-mixture":[102],"(DGM)":[103],"cost":[104,139],"function,":[105],"which":[106,143,236],"used":[108],"learn":[110],"capacity":[112,117],"degradation":[113],"mechanism":[114],"contaminated":[116],"so":[120],"as":[121,194],"build":[123],"model.":[127],"Second,":[128],"unscented":[131],"Kalman":[132],"(UKF)":[134],"employing":[136],"DGM-based":[138],"function":[140],"developed,":[142],"then":[145],"combined":[146],"KAF-based":[149,189],"model":[151,191],"realize":[153],"more":[155],"reliable":[158],"prediction.":[159],"Under":[160],"hybrid":[162],"prognostic":[163],"framework,":[164],"proposed":[166,223],"UKF":[167,204],"applied":[170],"observations.":[175],"When":[176],"observation":[178],"inaccessible,":[181],"predicted":[183],"off-line":[187],"trained":[188],"approximated":[196],"value":[197],"real":[200],"observations":[201],"optimize":[207],"results":[210,219],"provide":[213],"uncertainty":[215],"representation.":[216],"The":[217],"experimental":[218],"reveal":[220],"that":[221],"method":[224],"great":[226],"when":[228],"measurements":[230],"contain":[231],"noise":[232],"large":[234],"outliers,":[235],"makes":[237],"it":[238],"possible":[239],"get":[241],"satisfactory":[242],"performance":[244],"without":[245],"preprocessing":[246],"manually.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5}],"updated_date":"2026-07-14T08:27:34.040176","created_date":"2025-10-10T00:00:00"}