{"id":"https://openalex.org/W4365801643","doi":"https://doi.org/10.1109/tim.2023.3267362","title":"Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Data Preprocessing and Improved ELM","display_name":"Remaining Useful Life Prediction of Lithium-Ion Batteries Based on Data Preprocessing and Improved ELM","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4365801643","doi":"https://doi.org/10.1109/tim.2023.3267362"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3267362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3267362","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5024771867","display_name":"Weili Wu","orcid":"https://orcid.org/0000-0002-8820-0167"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weili Wu","raw_affiliation_strings":["School of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-8820-0167","affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085226920","display_name":"Shuangshuang Lu","orcid":"https://orcid.org/0000-0001-6665-9199"},"institutions":[{"id":"https://openalex.org/I110440473","display_name":"Xi'an University of Science and Technology","ror":"https://ror.org/046fkpt18","country_code":"CN","type":"education","lineage":["https://openalex.org/I110440473"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangshuang Lu","raw_affiliation_strings":["School of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-6665-9199","affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Xi'an University of Science and Technology, Xi'an, China","institution_ids":["https://openalex.org/I110440473"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I110440473"],"apc_list":null,"apc_paid":null,"fwci":5.7322,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.96911443,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10663","display_name":"Advanced Battery Technologies Research","score":0.9998999834060669,"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":0.9998999834060669,"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/T10018","display_name":"Advancements in Battery Materials","score":0.9945999979972839,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/data-pre-processing","display_name":"Data pre-processing","score":0.5353802442550659},{"id":"https://openalex.org/keywords/extreme-learning-machine","display_name":"Extreme learning machine","score":0.5189054608345032},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.49619776010513306},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.47065821290016174},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4673115909099579},{"id":"https://openalex.org/keywords/hilbert\u2013huang-transform","display_name":"Hilbert\u2013Huang transform","score":0.4626532196998596},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.4393545389175415},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.4351981580257416},{"id":"https://openalex.org/keywords/data-redundancy","display_name":"Data redundancy","score":0.42893850803375244},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4156271517276764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41476505994796753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3646611273288727},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.36307573318481445},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.311908483505249},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.22117140889167786},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.21852508187294006}],"concepts":[{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.5353802442550659},{"id":"https://openalex.org/C2780150128","wikidata":"https://www.wikidata.org/wiki/Q21948731","display_name":"Extreme learning machine","level":3,"score":0.5189054608345032},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.49619776010513306},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47065821290016174},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4673115909099579},{"id":"https://openalex.org/C25570617","wikidata":"https://www.wikidata.org/wiki/Q1006462","display_name":"Hilbert\u2013Huang transform","level":3,"score":0.4626532196998596},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.4393545389175415},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.4351981580257416},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.42893850803375244},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4156271517276764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41476505994796753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3646611273288727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36307573318481445},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.311908483505249},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.22117140889167786},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.21852508187294006},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3267362","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3267362","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W166959886","https://openalex.org/W1541808479","https://openalex.org/W2009465763","https://openalex.org/W2069315453","https://openalex.org/W2115233498","https://openalex.org/W2120390927","https://openalex.org/W2125056386","https://openalex.org/W2253995343","https://openalex.org/W2290883490","https://openalex.org/W2497266549","https://openalex.org/W2586219037","https://openalex.org/W2601157893","https://openalex.org/W2756210032","https://openalex.org/W2768606939","https://openalex.org/W2808997338","https://openalex.org/W2883525675","https://openalex.org/W2908960466","https://openalex.org/W2921523091","https://openalex.org/W2934286352","https://openalex.org/W2965733862","https://openalex.org/W2969597012","https://openalex.org/W2981025102","https://openalex.org/W3025611109","https://openalex.org/W3042828663","https://openalex.org/W3171217283","https://openalex.org/W3182209257","https://openalex.org/W3201372072","https://openalex.org/W3205017803","https://openalex.org/W3209489534","https://openalex.org/W3210458149","https://openalex.org/W3215644813","https://openalex.org/W4205303226","https://openalex.org/W4206481364","https://openalex.org/W4213423839","https://openalex.org/W4214556741","https://openalex.org/W4226106625","https://openalex.org/W4285128407","https://openalex.org/W4292263879","https://openalex.org/W4319988737","https://openalex.org/W6632553806"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W138569904","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W3092506759","https://openalex.org/W2390914021","https://openalex.org/W2389417819","https://openalex.org/W3195278891"],"abstract_inverted_index":{"Accurate":[0],"prediction":[1,31,61,138,147,165,175,207],"of":[2,8,21,32,34,41,52,105,159,209],"the":[3,18,30,92,96,103,106,114,121,126,132,153,160,173,183,205,210],"remaining":[4],"useful":[5],"life":[6],"(RUL)":[7],"lithium-ion":[9],"batteries":[10],"(LIBs)":[11],"can":[12],"provide":[13],"an":[14,59],"important":[15],"reference":[16],"for":[17],"safe":[19],"operation":[20],"LIBs.":[22],"At":[23],"present,":[24],"there":[25],"are":[26,149,167],"some":[27],"problems":[28],"in":[29,46,91,125,131],"RUL":[33,60,179,206],"LIBs,":[35],"such":[36],"as":[37],"redundancy":[38],"or":[39],"deficiency":[40],"characteristic":[42],"parameters,":[43],"local":[44,122],"regeneration":[45,123],"degradation":[47,192],"characteristics,":[48],"and":[49,83,112,143,169,198,216,221],"poor":[50],"stability":[51,220],"single":[53],"model":[54,133,139,148,176],"prediction.":[55,181],"In":[56],"this":[57],"paper,":[58],"method":[62,98,185,212],"combining":[63],"kernel":[64],"principal":[65],"component":[66],"analysis":[67],"(KPCA),":[68],"improved":[69],"complete":[70],"ensemble":[71],"empirical":[72],"mode":[73,155],"decomposition":[74],"with":[75],"adaptive":[76],"noise":[77],"(ICEEMDAN),":[78],"whale":[79],"optimization":[80],"algorithm":[81,116],"(WOA),":[82],"extreme":[84],"learning":[85],"machine":[86],"(ELM)":[87],"is":[88,99,117,186,213],"proposed.":[89],"Firstly,":[90],"data":[93,193],"preprocessing":[94],"stage,":[95,135],"KPCA":[97],"used":[100],"to":[101,119,151,177],"reduce":[102],"dimension":[104],"extracted":[107],"indirect":[108,180],"health":[109],"indicators":[110],"(HI),":[111],"then":[113,170],"ICEEMDAN":[115],"introduced":[118],"eliminate":[120],"phenomenon":[124],"fusion":[127,145,161],"HI":[128,146,162],"sequence.":[129,163],"Secondly,":[130],"construction":[134],"a":[136,144],"capacity":[137,174],"based":[140],"on":[141],"WOA-ELM":[142],"built":[150],"predict":[152],"intrinsic":[154],"functions":[156],"(IMF)":[157],"components":[158],"The":[164,201],"results":[166,202],"superimposed":[168],"input":[171],"into":[172],"realize":[178],"Finally,":[182],"proposed":[184,211],"verified":[187],"by":[188],"using":[189],"NASA":[190],"battery":[191],"sets":[194],"at":[195],"different":[196],"temperatures":[197],"experimental":[199],"environments.":[200],"show":[203],"that":[204],"accuracy":[208],"greatly":[214],"improved,":[215],"it":[217],"has":[218],"good":[219],"robustness.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":28},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":9}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
