{"id":"https://openalex.org/W2944364052","doi":"https://doi.org/10.1109/jsyst.2019.2905565","title":"Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey","display_name":"Data-Driven Methods for Predictive Maintenance of Industrial Equipment: A Survey","publication_year":2019,"publication_date":"2019-05-07","ids":{"openalex":"https://openalex.org/W2944364052","doi":"https://doi.org/10.1109/jsyst.2019.2905565","mag":"2944364052"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2019.2905565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2019.2905565","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"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 Systems Journal","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/A5101707934","display_name":"Weiting Zhang","orcid":"https://orcid.org/0000-0002-7473-2234"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Weiting Zhang","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071654735","display_name":"Dong Yang","orcid":"https://orcid.org/0000-0003-3402-3668"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Yang","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100648099","display_name":"Hongchao Wang","orcid":"https://orcid.org/0000-0001-7905-2513"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongchao Wang","raw_affiliation_strings":["Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101707934"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":36.0584,"has_fulltext":false,"cited_by_count":621,"citation_normalized_percentile":{"value":0.99936582,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"13","issue":"3","first_page":"2213","last_page":"2227"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9926999807357788,"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":0.9926999807357788,"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/T13690","display_name":"Quality and Safety in Healthcare","score":0.9861999750137329,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/computer-science","display_name":"Computer science","score":0.6385214328765869},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5203796625137329},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49599990248680115},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4701181650161743},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4670955538749695},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"Predictive maintenance","score":0.4569017291069031},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4421497583389282},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3785735070705414},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2974594235420227},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.276816725730896},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.22253772616386414}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6385214328765869},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5203796625137329},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49599990248680115},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4701181650161743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4670955538749695},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.4569017291069031},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4421497583389282},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3785735070705414},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2974594235420227},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.276816725730896},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.22253772616386414},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2019.2905565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2019.2905565","pdf_url":null,"source":{"id":"https://openalex.org/S95999327","display_name":"IEEE Systems Journal","issn_l":"1932-8184","issn":["1932-8184","1937-9234","2373-7816"],"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 Systems Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4642334947","display_name":null,"funder_award_id":"2018YFB1702001","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5863699024","display_name":null,"funder_award_id":"2018YJS013","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G8260795663","display_name":null,"funder_award_id":"61771040","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/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":119,"referenced_works":["https://openalex.org/W641901101","https://openalex.org/W1491965087","https://openalex.org/W1582368210","https://openalex.org/W1597576211","https://openalex.org/W1605077306","https://openalex.org/W1918292932","https://openalex.org/W1966973902","https://openalex.org/W1967352108","https://openalex.org/W1967879920","https://openalex.org/W1970784519","https://openalex.org/W1974528911","https://openalex.org/W1977002251","https://openalex.org/W1978654022","https://openalex.org/W1986397312","https://openalex.org/W1990447989","https://openalex.org/W1999393241","https://openalex.org/W2002016471","https://openalex.org/W2003205626","https://openalex.org/W2014685668","https://openalex.org/W2017775298","https://openalex.org/W2021894918","https://openalex.org/W2022621390","https://openalex.org/W2024181168","https://openalex.org/W2026039230","https://openalex.org/W2026282679","https://openalex.org/W2028614992","https://openalex.org/W2029608738","https://openalex.org/W2030678516","https://openalex.org/W2031329301","https://openalex.org/W2033800551","https://openalex.org/W2038194220","https://openalex.org/W2045186954","https://openalex.org/W2053443947","https://openalex.org/W2058983449","https://openalex.org/W2070665593","https://openalex.org/W2072137555","https://openalex.org/W2076063813","https://openalex.org/W2076863095","https://openalex.org/W2078994304","https://openalex.org/W2100495367","https://openalex.org/W2101972630","https://openalex.org/W2107074288","https://openalex.org/W2116928983","https://openalex.org/W2120130912","https://openalex.org/W2125283600","https://openalex.org/W2129399426","https://openalex.org/W2132511434","https://openalex.org/W2148922589","https://openalex.org/W2149931474","https://openalex.org/W2153428002","https://openalex.org/W2175330946","https://openalex.org/W2195459533","https://openalex.org/W2219903032","https://openalex.org/W2254884657","https://openalex.org/W2287029277","https://openalex.org/W2292614032","https://openalex.org/W2303525811","https://openalex.org/W2317595875","https://openalex.org/W2324044936","https://openalex.org/W2464234006","https://openalex.org/W2480364715","https://openalex.org/W2488793338","https://openalex.org/W2493697924","https://openalex.org/W2498119267","https://openalex.org/W2510586993","https://openalex.org/W2517756674","https://openalex.org/W2545804724","https://openalex.org/W2548000204","https://openalex.org/W2564938190","https://openalex.org/W2568757877","https://openalex.org/W2572334665","https://openalex.org/W2585345106","https://openalex.org/W2586362695","https://openalex.org/W2588941434","https://openalex.org/W2591591405","https://openalex.org/W2595141258","https://openalex.org/W2595796352","https://openalex.org/W2600283457","https://openalex.org/W2601590138","https://openalex.org/W2602460809","https://openalex.org/W2603304445","https://openalex.org/W2604220782","https://openalex.org/W2605528934","https://openalex.org/W2726716661","https://openalex.org/W2736470268","https://openalex.org/W2740570963","https://openalex.org/W2741730792","https://openalex.org/W2742910676","https://openalex.org/W2743579215","https://openalex.org/W2749487223","https://openalex.org/W2754813553","https://openalex.org/W2763795240","https://openalex.org/W2766440025","https://openalex.org/W2767031373","https://openalex.org/W2776185886","https://openalex.org/W2781122281","https://openalex.org/W2785435926","https://openalex.org/W2786070938","https://openalex.org/W2788295705","https://openalex.org/W2791694051","https://openalex.org/W2791939925","https://openalex.org/W2810292802","https://openalex.org/W2833256931","https://openalex.org/W2884552531","https://openalex.org/W2888609085","https://openalex.org/W2897534289","https://openalex.org/W2911964244","https://openalex.org/W2919115771","https://openalex.org/W3087861048","https://openalex.org/W3105875582","https://openalex.org/W4235292672","https://openalex.org/W4316672250","https://openalex.org/W6648196464","https://openalex.org/W6654422401","https://openalex.org/W6696889672","https://openalex.org/W6729443309","https://openalex.org/W6729522642","https://openalex.org/W6747769228","https://openalex.org/W6749054619"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4394895745","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508","https://openalex.org/W2499527417"],"abstract_inverted_index":{"With":[0],"the":[1,16,42,60,100,104,114,127,139,163,169,186,190,227],"tremendous":[2],"revival":[3],"of":[4,103,147,172],"artificial":[5],"intelligence,":[6],"predictive":[7],"maintenance":[8,205],"(PdM)":[9],"based":[10,143],"on":[11,78,87,144,218],"data-driven":[12,79],"methods":[13,80],"has":[14],"become":[15],"most":[17,52],"effective":[18],"solution":[19],"to":[20,92,167,215],"address":[21],"smart":[22],"manufacturing":[23],"and":[24,36,59,90,97,125,150,154,208,235],"industrial":[25,141],"big":[26],"data,":[27],"especially":[28,70],"for":[29,81,121,159,221],"performing":[30],"health":[31],"perception":[32],"(e.g.,":[33],"fault":[34],"diagnosis":[35],"remaining":[37],"life":[38],"assessment).":[39],"Moreover,":[40],"because":[41],"existing":[43,105],"PdM":[44,115,119,134,174,222,233],"research":[45],"is":[46,69,176],"still":[47],"in":[48,73,178,189,210],"primary":[49],"experimental":[50],"stage,":[51],"works":[53,106],"are":[54,181,193],"conducted":[55],"utilizing":[56],"several":[57,237],"open-datasets,":[58],"combination":[61],"with":[62,99],"specific":[63,140],"applications":[64,142,175,234],"such":[65,198],"as":[66,199],"rotating":[67],"machinery":[68],"rare.":[71],"Hence,":[72],"this":[74],"paper,":[75],"we":[76,110,131,137,225],"focus":[77,216],"PdM,":[82],"present":[83],"a":[84,133],"comprehensive":[85],"survey":[86],"its":[88],"applications,":[89],"attempt":[91],"provide":[93],"graduate":[94],"students,":[95],"companies,":[96],"institutions":[98],"preliminary":[101],"understanding":[102],"recently":[107],"published.":[108],"Specifically,":[109],"first":[111],"briefly":[112],"introduce":[113],"approach,":[116],"illustrate":[117],"our":[118,231],"scheme":[120],"automatic":[122],"washing":[123],"equipment,":[124],"demonstrate":[126],"challenges":[128],"encountered":[129],"when":[130],"conduct":[132],"research.":[135,223],"Second,":[136],"classify":[138],"six":[145],"algorithms":[146,220],"machine":[148],"learning":[149,152],"deep":[151],"(DL),":[153],"compare":[155],"five":[156],"performance":[157],"metrics":[158],"each":[160],"classification.":[161],"Furthermore,":[162],"accuracy":[164],"(a":[165],"metric":[166],"evaluate":[168],"algorithm":[170],"performance)":[171],"these":[173],"analyzed":[177],"detail.":[179],"There":[180],"some":[182],"important":[183],"conclusions:":[184],"1)":[185],"data":[187],"used":[188],"summarized":[191],"literature":[192],"mostly":[194],"from":[195],"public":[196],"datasets,":[197],"case":[200],"western":[201],"reserve":[202],"university":[203],"(CWRU)/intelligent":[204],"systems":[206],"(IMS);":[207],"2)":[209],"recent":[211],"years,":[212],"researchers":[213],"seem":[214],"more":[217],"DL":[219],"Finally,":[224],"summarize":[226],"common":[228],"features":[229],"regarding":[230],"surveyed":[232],"discuss":[236],"potential":[238],"directions.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":30},{"year":2025,"cited_by_count":152},{"year":2024,"cited_by_count":119},{"year":2023,"cited_by_count":106},{"year":2022,"cited_by_count":113},{"year":2021,"cited_by_count":68},{"year":2020,"cited_by_count":29},{"year":2019,"cited_by_count":4}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
