{"id":"https://openalex.org/W3081571820","doi":"https://doi.org/10.1115/1.4048215","title":"Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features","display_name":"Remaining Useful Life Prediction of Bearings Using Ensemble Learning: The Impact of Diversity in Base Learners and Features","publication_year":2020,"publication_date":"2020-08-31","ids":{"openalex":"https://openalex.org/W3081571820","doi":"https://doi.org/10.1115/1.4048215","mag":"3081571820"},"language":"en","primary_location":{"id":"doi:10.1115/1.4048215","is_oa":true,"landing_page_url":"https://doi.org/10.1115/1.4048215","pdf_url":"https://asmedigitalcollection.asme.org/computingengineering/article-pdf/21/2/021004/6577153/jcise_21_2_021004.pdf","source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://asmedigitalcollection.asme.org/computingengineering/article-pdf/21/2/021004/6577153/jcise_21_2_021004.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032452380","display_name":"Junchuan Shi","orcid":"https://orcid.org/0000-0003-1336-4690"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junchuan Shi","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101790973","display_name":"Tianyu Yu","orcid":"https://orcid.org/0000-0002-6515-7370"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Tianyu Yu","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071518289","display_name":"Kai Goebel","orcid":"https://orcid.org/0000-0002-0240-0943"},"institutions":[{"id":"https://openalex.org/I1280536761","display_name":"Ames Research Center","ror":"https://ror.org/02acart68","country_code":"US","type":"facility","lineage":["https://openalex.org/I1280536761","https://openalex.org/I4210124779"]},{"id":"https://openalex.org/I173498003","display_name":"Palo Alto Research Center","ror":"https://ror.org/0529fxt39","country_code":"US","type":"facility","lineage":["https://openalex.org/I173498003","https://openalex.org/I4210132870"]},{"id":"https://openalex.org/I190632392","display_name":"Lule\u00e5 University of Technology","ror":"https://ror.org/016st3p78","country_code":"SE","type":"education","lineage":["https://openalex.org/I190632392"]}],"countries":["SE","US"],"is_corresponding":false,"raw_author_name":"Kai Goebel","raw_affiliation_strings":["Division of Operation and Maintenance Engineering, Lule\u00e5 University of Technology, Lule\u00e5, Sweden;","NASA Ames Research Center, Moffett Field, CA 94035","Palo Alto Research Center, Palo Alto, CA 94034;"],"affiliations":[{"raw_affiliation_string":"Division of Operation and Maintenance Engineering, Lule\u00e5 University of Technology, Lule\u00e5, Sweden;","institution_ids":["https://openalex.org/I190632392"]},{"raw_affiliation_string":"NASA Ames Research Center, Moffett Field, CA 94035","institution_ids":["https://openalex.org/I1280536761"]},{"raw_affiliation_string":"Palo Alto Research Center, Palo Alto, CA 94034;","institution_ids":["https://openalex.org/I173498003"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5034019298","display_name":"Dazhong Wu","orcid":"https://orcid.org/0000-0002-0215-4906"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dazhong Wu","raw_affiliation_strings":["Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical and Aerospace Engineering, University of Central Florida, Orlando, FL 32816","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101790973"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":5.4432,"has_fulltext":false,"cited_by_count":53,"citation_normalized_percentile":{"value":0.96324864,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"21","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9987000226974487,"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"}},"topics":[{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9987000226974487,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T11557","display_name":"Lubricants and Their Additives","score":0.9818000197410583,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/prognostics","display_name":"Prognostics","score":0.9116194248199463},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.6798393726348877},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5466743111610413},{"id":"https://openalex.org/keywords/bearing","display_name":"Bearing (navigation)","score":0.5252946019172668},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5246270298957825},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5150825381278992},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.49559199810028076},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.47727030515670776},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4713204503059387},{"id":"https://openalex.org/keywords/ensemble-forecasting","display_name":"Ensemble forecasting","score":0.41536980867385864},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.4145335555076599},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4090958535671234},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.30531996488571167},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14131265878677368}],"concepts":[{"id":"https://openalex.org/C129364497","wikidata":"https://www.wikidata.org/wiki/Q3042561","display_name":"Prognostics","level":2,"score":0.9116194248199463},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.6798393726348877},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5466743111610413},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5252946019172668},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5246270298957825},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5150825381278992},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.49559199810028076},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.47727030515670776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4713204503059387},{"id":"https://openalex.org/C119898033","wikidata":"https://www.wikidata.org/wiki/Q3433888","display_name":"Ensemble forecasting","level":2,"score":0.41536980867385864},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.4145335555076599},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4090958535671234},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.30531996488571167},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14131265878677368},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1115/1.4048215","is_oa":true,"landing_page_url":"https://doi.org/10.1115/1.4048215","pdf_url":"https://asmedigitalcollection.asme.org/computingengineering/article-pdf/21/2/021004/6577153/jcise_21_2_021004.pdf","source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1115/1.4048215","is_oa":true,"landing_page_url":"https://doi.org/10.1115/1.4048215","pdf_url":"https://asmedigitalcollection.asme.org/computingengineering/article-pdf/21/2/021004/6577153/jcise_21_2_021004.pdf","source":{"id":"https://openalex.org/S173178594","display_name":"Journal of Computing and Information Science in Engineering","issn_l":"1530-9827","issn":["1530-9827","1944-7078"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316053","host_organization_name":"ASM International","host_organization_lineage":["https://openalex.org/P4310316053"],"host_organization_lineage_names":["ASM International"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Computing and Information Science in Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G3422500713","display_name":null,"funder_award_id":"80NSSC18M108","funder_id":"https://openalex.org/F4320332374","funder_display_name":"Ames Research Center"}],"funders":[{"id":"https://openalex.org/F4320332374","display_name":"Ames Research Center","ror":"https://ror.org/02acart68"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3081571820.pdf","grobid_xml":"https://content.openalex.org/works/W3081571820.grobid-xml"},"referenced_works_count":59,"referenced_works":["https://openalex.org/W53502161","https://openalex.org/W1481913965","https://openalex.org/W1678356000","https://openalex.org/W1970644055","https://openalex.org/W1974038989","https://openalex.org/W1975687401","https://openalex.org/W1980817237","https://openalex.org/W1993220529","https://openalex.org/W2001208016","https://openalex.org/W2004929978","https://openalex.org/W2005523062","https://openalex.org/W2007154098","https://openalex.org/W2008185990","https://openalex.org/W2010295655","https://openalex.org/W2014685668","https://openalex.org/W2033800551","https://openalex.org/W2044309218","https://openalex.org/W2055522016","https://openalex.org/W2055873761","https://openalex.org/W2056132907","https://openalex.org/W2057608512","https://openalex.org/W2067102235","https://openalex.org/W2075665712","https://openalex.org/W2078263418","https://openalex.org/W2079473768","https://openalex.org/W2095180434","https://openalex.org/W2098203240","https://openalex.org/W2099250634","https://openalex.org/W2114106396","https://openalex.org/W2117227640","https://openalex.org/W2119821739","https://openalex.org/W2128503116","https://openalex.org/W2142724780","https://openalex.org/W2165695298","https://openalex.org/W2168046285","https://openalex.org/W2295598076","https://openalex.org/W2417225786","https://openalex.org/W2463319845","https://openalex.org/W2463813940","https://openalex.org/W2591055632","https://openalex.org/W2751313953","https://openalex.org/W2765256728","https://openalex.org/W2773470152","https://openalex.org/W2776641310","https://openalex.org/W2810304291","https://openalex.org/W2896291989","https://openalex.org/W2911964244","https://openalex.org/W2914776782","https://openalex.org/W2996059456","https://openalex.org/W3102476541","https://openalex.org/W3160663402","https://openalex.org/W4205170049","https://openalex.org/W4239510810","https://openalex.org/W4245295309","https://openalex.org/W6651499730","https://openalex.org/W6675056011","https://openalex.org/W6744897458","https://openalex.org/W6795212094","https://openalex.org/W6910681941"],"related_works":["https://openalex.org/W2794896638","https://openalex.org/W2891633941","https://openalex.org/W3202800081","https://openalex.org/W3101614107","https://openalex.org/W1909207154","https://openalex.org/W4390971112","https://openalex.org/W3036530763","https://openalex.org/W1514365828","https://openalex.org/W3149839747","https://openalex.org/W3204228978"],"abstract_inverted_index":{"Abstract":[0],"Prognostics":[1],"and":[2,16,111,136,166,219],"health":[3],"management":[4],"(PHM)":[5],"of":[6,14,19,38,68,90,115,131,146,154,174,181,206],"bearings":[7,155,192],"is":[8,46,98,149,156,212],"crucial":[9],"for":[10,21],"reducing":[11],"the":[12,17,36,63,113,129,144,171,179,204,207],"risk":[13],"failure":[15],"cost":[18],"maintenance":[20],"rotating":[22],"machinery.":[23],"Model-based":[24],"prognostic":[25],"methods":[26,56,79],"develop":[27],"closed-form":[28],"mathematical":[29],"models":[30],"based":[31,169],"on":[32,143,170,183],"underlying":[33],"physics.":[34],"However,":[35,117],"physics":[37],"complex":[39],"bearing":[40],"failures":[41],"under":[42],"varying":[43],"operating":[44],"conditions":[45],"not":[47],"well":[48],"understood":[49],"yet.":[50],"To":[51,125,177],"complement":[52],"model-based":[53],"prognostics,":[54],"data-driven":[55],"have":[57,201],"been":[58],"increasingly":[59],"used":[60,194],"to":[61,72,195],"predict":[62],"remaining":[64],"useful":[65],"life":[66],"(RUL)":[67],"bearings.":[69,116],"As":[70],"opposed":[71],"other":[73],"machine":[74],"learning":[75,78,88,97,148,210],"methods,":[76],"ensemble":[77,96,121,147,209],"can":[80,102],"achieve":[81],"higher":[82,100],"prediction":[83,184],"accuracy":[84],"by":[85,105,215],"combining":[86,106],"multiple":[87],"algorithms":[89],"different":[91,140,223],"types.":[92],"The":[93,151],"rationale":[94],"behind":[95],"that":[99,109,203],"performance":[101,145,205],"be":[103],"achieved":[104],"base":[107,134,220],"learners":[108,135,221],"overestimate":[110],"underestimate":[112],"RUL":[114],"building":[118],"an":[119],"effective":[120],"remains":[122],"a":[123],"challenge.":[124],"address":[126],"this":[127],"issue,":[128],"impact":[130,180],"diversity":[132,182],"in":[133,139,222],"extracted":[137],"features":[138,218],"degradation":[141,152,224],"stages":[142],"investigated.":[150],"process":[153],"classified":[157],"into":[158],"three":[159],"stages,":[160],"including":[161],"normal":[162],"wear,":[163,165,168],"smooth":[164],"severe":[167],"root-mean-square":[172],"(RMS)":[173],"vibration":[175,186],"signals.":[176],"evaluate":[178],"performance,":[185],"data":[187],"collected":[188],"from":[189],"rolling":[190],"element":[191],"was":[193],"train":[196],"predictive":[197],"models.":[198],"Experimental":[199],"results":[200],"shown":[202],"proposed":[208],"method":[211],"significantly":[213],"improved":[214],"selecting":[216],"diverse":[217],"stages.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
