{"id":"https://openalex.org/W3130100540","doi":"https://doi.org/10.1109/tim.2021.3059500","title":"Feature Extraction for Data-Driven Remaining Useful Life Prediction of Rolling Bearings","display_name":"Feature Extraction for Data-Driven Remaining Useful Life Prediction of Rolling Bearings","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3130100540","doi":"https://doi.org/10.1109/tim.2021.3059500","mag":"3130100540"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3059500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3059500","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/A5007640749","display_name":"Huimin Zhao","orcid":"https://orcid.org/0000-0002-8208-7861"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huimin Zhao","raw_affiliation_strings":["School of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-8208-7861","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041064135","display_name":"Haodong Liu","orcid":"https://orcid.org/0000-0003-0252-0651"},"institutions":[{"id":"https://openalex.org/I43313876","display_name":"Dalian Maritime University","ror":"https://ror.org/002b7nr53","country_code":"CN","type":"education","lineage":["https://openalex.org/I43313876"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haodong Liu","raw_affiliation_strings":["School of Marine Electrical Engineering, Dalian Maritime University, Dalian, China"],"raw_orcid":"https://orcid.org/0000-0003-0252-0651","affiliations":[{"raw_affiliation_string":"School of Marine Electrical Engineering, Dalian Maritime University, Dalian, China","institution_ids":["https://openalex.org/I43313876"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052453659","display_name":"Yang Jin","orcid":"https://orcid.org/0000-0002-3877-3979"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Jin","raw_affiliation_strings":["School of Aeronautical Engineering, Civil Aviation University of China, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-3877-3979","affiliations":[{"raw_affiliation_string":"School of Aeronautical Engineering, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025254623","display_name":"Xiangjun Dang","orcid":"https://orcid.org/0000-0003-2517-4536"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangjun Dang","raw_affiliation_strings":["School of College of Airworthiness, Civil Aviation University of China, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-2517-4536","affiliations":[{"raw_affiliation_string":"School of College of Airworthiness, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100694571","display_name":"Wu Deng","orcid":"https://orcid.org/0000-0002-4538-2001"},"institutions":[{"id":"https://openalex.org/I28813325","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37","country_code":"CN","type":"education","lineage":["https://openalex.org/I28813325"]},{"id":"https://openalex.org/I4800084","display_name":"Southwest Jiaotong University","ror":"https://ror.org/00hn7w693","country_code":"CN","type":"education","lineage":["https://openalex.org/I4800084"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wu Deng","raw_affiliation_strings":["School of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China","Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-4538-2001","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Automation, Civil Aviation University of China, Tianjin, China","institution_ids":["https://openalex.org/I28813325"]},{"raw_affiliation_string":"Traction Power State Key Laboratory, Southwest Jiaotong University, Chengdu, China","institution_ids":["https://openalex.org/I4800084"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":16.7019,"has_fulltext":false,"cited_by_count":194,"citation_normalized_percentile":{"value":0.99714608,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9958999752998352,"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":0.9958999752998352,"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/T10663","display_name":"Advanced Battery Technologies Research","score":0.9890999794006348,"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/T11557","display_name":"Lubricants and Their Additives","score":0.9887999892234802,"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/bearing","display_name":"Bearing (navigation)","score":0.5887803435325623},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5536311268806458},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5498828291893005},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5199552774429321},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.49275949597358704},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition monitoring","score":0.4739114046096802},{"id":"https://openalex.org/keywords/interval","display_name":"Interval (graph theory)","score":0.4519233703613281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40489229559898376},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.28036773204803467},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1325894594192505}],"concepts":[{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.5887803435325623},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5536311268806458},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5498828291893005},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5199552774429321},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.49275949597358704},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.4739114046096802},{"id":"https://openalex.org/C2778067643","wikidata":"https://www.wikidata.org/wiki/Q166507","display_name":"Interval (graph theory)","level":2,"score":0.4519233703613281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40489229559898376},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28036773204803467},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1325894594192505},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2021.3059500","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3059500","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":[{"score":0.5699999928474426,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[{"id":"https://openalex.org/G5684123159","display_name":null,"funder_award_id":"2020KYQD123","funder_id":"https://openalex.org/F4320321565","funder_display_name":"Civil Aviation University of China"},{"id":"https://openalex.org/G7244750211","display_name":null,"funder_award_id":"TPL2002","funder_id":"https://openalex.org/F4320327029","funder_display_name":"State Key Laboratory of Traction Power"},{"id":"https://openalex.org/G7335763171","display_name":"\u57fa\u4e8e\u95ee\u9898\u7279\u5f81\u5206\u6790\u7684\u91cf\u5b50\u6df7\u5408\u534f\u540c\u8fdb\u5316\u7b97\u6cd5\u53ca\u5176\u5e94\u7528\u7814\u7a76","funder_award_id":"61771087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8511513624","display_name":null,"funder_award_id":"51605068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8816721821","display_name":null,"funder_award_id":"51475065","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G938378217","display_name":null,"funder_award_id":"51879027","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"},{"id":"https://openalex.org/F4320321565","display_name":"Civil Aviation University of China","ror":"https://ror.org/03je71k37"},{"id":"https://openalex.org/F4320327029","display_name":"State Key Laboratory of Traction Power","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1481913965","https://openalex.org/W1975687401","https://openalex.org/W1989339181","https://openalex.org/W2013821261","https://openalex.org/W2016131854","https://openalex.org/W2026131661","https://openalex.org/W2032301033","https://openalex.org/W2047464801","https://openalex.org/W2053443947","https://openalex.org/W2058817067","https://openalex.org/W2096947102","https://openalex.org/W2111072639","https://openalex.org/W2119436251","https://openalex.org/W2288371659","https://openalex.org/W2295194438","https://openalex.org/W2337713278","https://openalex.org/W2406691318","https://openalex.org/W2473294140","https://openalex.org/W2523377413","https://openalex.org/W2613107311","https://openalex.org/W2647889534","https://openalex.org/W2727729119","https://openalex.org/W2745946363","https://openalex.org/W2761070841","https://openalex.org/W2768989874","https://openalex.org/W2770206312","https://openalex.org/W2799972844","https://openalex.org/W2808622270","https://openalex.org/W2810180637","https://openalex.org/W2888563655","https://openalex.org/W2900438754","https://openalex.org/W2903936867","https://openalex.org/W2929255206","https://openalex.org/W2981742420","https://openalex.org/W2989363164","https://openalex.org/W2990705538","https://openalex.org/W3003134479","https://openalex.org/W3013482090","https://openalex.org/W3021048621","https://openalex.org/W3039216919","https://openalex.org/W3087576977","https://openalex.org/W3096193467","https://openalex.org/W3107835908","https://openalex.org/W3135235793"],"related_works":["https://openalex.org/W2035937180","https://openalex.org/W3196220745","https://openalex.org/W4311624988","https://openalex.org/W2061308401","https://openalex.org/W4232403546","https://openalex.org/W2335478004","https://openalex.org/W4323520306","https://openalex.org/W2064011721","https://openalex.org/W2142557486","https://openalex.org/W4387386938"],"abstract_inverted_index":{"A":[0],"variety":[1],"of":[2,14,22,33,44,54,88,93,108,114,141,155,180,196,211,243,253,261,270,290,297],"data-driven":[3,23,134],"methods":[4],"have":[5],"been":[6],"proposed":[7,148],"to":[8,48,101,149,200,228,236,266],"predict":[9,287],"remaining":[10],"useful":[11],"life":[12,181,258],"(RUL)":[13],"key":[15],"component":[16],"for":[17,188],"rolling":[18,45,55,71,76,95,160,190,198,212,244,254,262,291],"bearings.":[19,77,255,292],"The":[20,37,171,256,275],"accuracy":[21,113],"RUL":[24,65,116,240,251,272,282,289],"prediction":[25,66,117,241,252,273,283],"model":[26,67,118,242,284],"largely":[27],"depends":[28],"on":[29,132,185,217],"the":[30,49,60,63,69,74,86,89,99,103,109,112,115,133,151,156,163,175,193,197,202,208,219,250,268,271,280,288,295],"extraction":[31,129],"method":[32,130],"performance":[34,51,90,152,176],"degradation":[35,52,91,153,177],"features.":[36],"individual":[38],"heterogeneity":[39],"and":[40,73,97,105,192,207,225,300],"working":[41,209],"condition":[42],"difference":[43],"bearings":[46,72,161,199,213,263],"lead":[47],"different":[50,189],"curves":[53,179],"bearings,":[56,96,191,245],"which":[57,83,183,246],"result":[58],"in":[59,168],"mismatch":[61],"between":[62],"established":[64,281],"by":[68],"training":[70],"test":[75],"If":[78],"a":[79,126,238],"feature":[80,128,178],"is":[81,147,205,214],"found,":[82],"can":[84,173,247,285],"reflect":[85],"consistency":[87,186],"curve":[92],"each":[94],"give":[98],"indicator":[100],"determine":[102],"node":[104],"predictable":[106],"interval":[107],"declining":[110],"period,":[111],"will":[119],"be":[120],"improved.":[121],"To":[122],"solve":[123],"this":[124,169],"problem,":[125],"new":[127,239],"based":[131],"method,":[135],"namely,":[136],"Fitting":[137],"Curve":[138],"Derivative":[139],"Method":[140],"Maximum":[142],"Power":[143],"Spectrum":[144],"Density":[145],"(FDMPD),":[146],"extract":[150],"features":[154],"same":[157],"or":[158],"similar":[159],"from":[162],"historical":[164],"state":[165],"monitoring":[166],"data":[167,260],"article.":[170],"FDMPD":[172,235],"make":[174],"cycle,":[182],"takes":[184],"trend":[187],"starting":[194],"point":[195],"enter":[201],"degenerating":[203],"period":[204],"defined":[206],"stage":[210],"divided.":[215],"Based":[216],"this,":[218],"kernel":[220],"extreme":[221],"learning":[222],"machine":[223],"(KELM)":[224],"weight":[226],"application":[227],"failure":[229],"times":[230],"(WAFT)":[231],"are":[232,264],"combined":[233],"with":[234],"establish":[237],"effectively":[248],"realize":[249],"whole":[257],"cycle":[259],"used":[265],"verify":[267],"validity":[269],"model.":[274],"experimental":[276],"results":[277],"show":[278],"that":[279],"accurately":[286],"It":[293],"has":[294],"advantages":[296],"rapidity,":[298],"stability,":[299],"applicability.":[301]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":54},{"year":2023,"cited_by_count":32},{"year":2022,"cited_by_count":42},{"year":2021,"cited_by_count":26}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}