{"id":"https://openalex.org/W4290711230","doi":"https://doi.org/10.1109/jsyst.2022.3193200","title":"Deep-Learning-Enabled Predictive Maintenance in Industrial Internet of Things: Methods, Applications, and Challenges","display_name":"Deep-Learning-Enabled Predictive Maintenance in Industrial Internet of Things: Methods, Applications, and Challenges","publication_year":2022,"publication_date":"2022-08-08","ids":{"openalex":"https://openalex.org/W4290711230","doi":"https://doi.org/10.1109/jsyst.2022.3193200"},"language":"en","primary_location":{"id":"doi:10.1109/jsyst.2022.3193200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2022.3193200","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/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":true,"raw_author_name":"Hongchao Wang","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076675337","display_name":"Weiting Zhang","orcid":"https://orcid.org/0000-0003-2626-4883"},"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":"Weiting Zhang","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, 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":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089183519","display_name":"Yuhong Xiang","orcid":"https://orcid.org/0000-0001-7544-5870"},"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":"Yuhong Xiang","raw_affiliation_strings":["School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100648099"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":9.2201,"has_fulltext":false,"cited_by_count":80,"citation_normalized_percentile":{"value":0.98765242,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"17","issue":"2","first_page":"2602","last_page":"2615"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9980000257492065,"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":0.9980000257492065,"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":0.9801999926567078,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9714000225067139,"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/downtime","display_name":"Downtime","score":0.6960514783859253},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"Predictive maintenance","score":0.5714889168739319},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5661764144897461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5340465903282166},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4885293245315552},{"id":"https://openalex.org/keywords/industry-4.0","display_name":"Industry 4.0","score":0.47998282313346863},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4737090468406677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45270296931266785},{"id":"https://openalex.org/keywords/enabling","display_name":"Enabling","score":0.4271785020828247},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.41693806648254395},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.33303025364875793},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3068350553512573},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16114705801010132}],"concepts":[{"id":"https://openalex.org/C180591934","wikidata":"https://www.wikidata.org/wiki/Q1253369","display_name":"Downtime","level":2,"score":0.6960514783859253},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.5714889168739319},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5661764144897461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5340465903282166},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4885293245315552},{"id":"https://openalex.org/C2777986313","wikidata":"https://www.wikidata.org/wiki/Q1661989","display_name":"Industry 4.0","level":2,"score":0.47998282313346863},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4737090468406677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45270296931266785},{"id":"https://openalex.org/C22607594","wikidata":"https://www.wikidata.org/wiki/Q5375150","display_name":"Enabling","level":2,"score":0.4271785020828247},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.41693806648254395},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.33303025364875793},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3068350553512573},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16114705801010132},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsyst.2022.3193200","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsyst.2022.3193200","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":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3549477485","display_name":null,"funder_award_id":"BX20220029","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G422805606","display_name":null,"funder_award_id":"2022M710007","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":102,"referenced_works":["https://openalex.org/W1598796236","https://openalex.org/W2033800551","https://openalex.org/W2097994458","https://openalex.org/W2112796928","https://openalex.org/W2113199992","https://openalex.org/W2120841219","https://openalex.org/W2133564696","https://openalex.org/W2193413348","https://openalex.org/W2404692435","https://openalex.org/W2461729787","https://openalex.org/W2525778437","https://openalex.org/W2529693955","https://openalex.org/W2560473673","https://openalex.org/W2562762876","https://openalex.org/W2580840020","https://openalex.org/W2590288147","https://openalex.org/W2593479727","https://openalex.org/W2596636257","https://openalex.org/W2617137613","https://openalex.org/W2734669076","https://openalex.org/W2735326783","https://openalex.org/W2744604411","https://openalex.org/W2768753204","https://openalex.org/W2778801251","https://openalex.org/W2790565135","https://openalex.org/W2794869810","https://openalex.org/W2800305275","https://openalex.org/W2801396593","https://openalex.org/W2803978172","https://openalex.org/W2804964124","https://openalex.org/W2809740924","https://openalex.org/W2810292802","https://openalex.org/W2811266402","https://openalex.org/W2887782657","https://openalex.org/W2893946350","https://openalex.org/W2896784509","https://openalex.org/W2898375427","https://openalex.org/W2900993406","https://openalex.org/W2909342143","https://openalex.org/W2910121883","https://openalex.org/W2910555889","https://openalex.org/W2920031528","https://openalex.org/W2925209208","https://openalex.org/W2936131980","https://openalex.org/W2940589124","https://openalex.org/W2941731112","https://openalex.org/W2944364052","https://openalex.org/W2950150695","https://openalex.org/W2950380591","https://openalex.org/W2950865323","https://openalex.org/W2956601357","https://openalex.org/W2958393522","https://openalex.org/W2961333734","https://openalex.org/W2962804345","https://openalex.org/W2964622437","https://openalex.org/W2966007380","https://openalex.org/W2967625104","https://openalex.org/W2968522222","https://openalex.org/W2974843368","https://openalex.org/W2976320596","https://openalex.org/W2979987893","https://openalex.org/W2981375875","https://openalex.org/W2989596860","https://openalex.org/W2990502541","https://openalex.org/W2997764834","https://openalex.org/W3059280052","https://openalex.org/W3081084450","https://openalex.org/W3090615085","https://openalex.org/W3092302056","https://openalex.org/W3100321043","https://openalex.org/W3101422709","https://openalex.org/W3110819187","https://openalex.org/W3113008830","https://openalex.org/W3120799912","https://openalex.org/W3130100540","https://openalex.org/W3133913697","https://openalex.org/W3136338303","https://openalex.org/W3137094733","https://openalex.org/W3156676812","https://openalex.org/W3174389152","https://openalex.org/W3178661111","https://openalex.org/W3179759556","https://openalex.org/W3180992806","https://openalex.org/W3188962172","https://openalex.org/W3203140391","https://openalex.org/W3205260830","https://openalex.org/W3207642814","https://openalex.org/W3208624098","https://openalex.org/W3210242925","https://openalex.org/W4200534047","https://openalex.org/W4206773814","https://openalex.org/W4281698495","https://openalex.org/W4288267697","https://openalex.org/W4385245566","https://openalex.org/W6635679246","https://openalex.org/W6679434410","https://openalex.org/W6687566353","https://openalex.org/W6727690538","https://openalex.org/W6739901393","https://openalex.org/W6766677651","https://openalex.org/W6799336385","https://openalex.org/W6910476910"],"related_works":["https://openalex.org/W4362496992","https://openalex.org/W1516451032","https://openalex.org/W4399675919","https://openalex.org/W102856357","https://openalex.org/W2944342107","https://openalex.org/W1567468256","https://openalex.org/W4390478470","https://openalex.org/W1980965876","https://openalex.org/W4281260765","https://openalex.org/W2159886170"],"abstract_inverted_index":{"With":[0],"the":[1,8,12,22,38,79,86,102,116,152,156,162,224,229],"great":[2],"evolution":[3],"of":[4,25,41,49,63,73,88,92,97,106,124,139,151,158,164,226],"human":[5],"society":[6],"from":[7],"information":[9],"era":[10],"to":[11,36,148,180,198,201],"smart":[13],"automation":[14],"era,":[15],"intelligent":[16,29],"production":[17],"and":[18,45,52,81,113,127,182,217],"maintenance":[19,31,207],"have":[20],"become":[21],"core":[23],"orientation":[24],"Industry":[26],"4.0.":[27],"Data-driven":[28],"predictive":[30,204],"(IPdM)":[32],"offers":[33],"potential":[34,214],"solutions":[35],"satisfy":[37],"urgent":[39],"demand":[40],"predicting":[42],"impending":[43],"failures":[44],"mitigating":[46],"unplanned":[47],"downtime":[48],"industrial":[50,61,137,167,230],"machinery,":[51],"is":[53,143,175,178],"envisioned":[54],"as":[55,131],"a":[56,70,135,194,203],"critical":[57],"enabler":[58],"for":[59,78,145,155,185,206,222],"future":[60],"Internet":[62],"Things.":[64],"In":[65],"this":[66,211],"article,":[67],"we":[68],"provide":[69],"comprehensive":[71],"survey":[72],"deep":[74],"learning":[75],"(DL)-based":[76],"IPdM":[77,104,118,189,227],"researchers":[80],"practitioners":[82],"who":[83],"focused":[84],"on":[85,115,210],"promotion":[87],"fault":[89],"diagnosis/prognosis.":[90],"First":[91],"all,":[93],"four":[94],"mainstream":[95],"algorithms":[96],"DL":[98],"are":[99,119,219],"reviewed":[100],"around":[101],"specific":[103],"applications":[105],"recent":[107],"five":[108],"years.":[109],"Some":[110],"prominent":[111],"discussions":[112],"insights":[114],"DL-based":[117,159,188,195],"given":[120],"here":[121],"in":[122,228],"terms":[123],"data":[125],"characteristics":[126],"model":[128,205],"performance.":[129],"Particularly,":[130],"an":[132],"important":[133],"contribution,":[134],"new":[136],"dataset":[138,174],"dual-bearings":[140],"rotating":[141],"machinery":[142],"published":[144],"opening":[146],"research":[147,215],"address":[149],"one":[150],"main":[153],"challenges":[154,218],"development":[157],"IPdM,":[160],"i.e.,":[161],"shortage":[163],"high":[165],"quality":[166],"datasets.":[168],"Compared":[169],"with":[170],"current":[171],"datasets,":[172],"our":[173],"multisensory,":[176],"which":[177],"closer":[179],"reality":[181],"more":[183],"suitable":[184],"building":[186],"advanced":[187],"models.":[190],"We":[191],"also":[192,220],"give":[193],"case":[196],"study":[197],"demonstrate":[199],"how":[200],"build":[202],"decisions":[208],"based":[209],"dataset.":[212],"Finally,":[213],"trends":[216],"discussed":[221],"enhancing":[223],"intelligence":[225],"scenarios.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":41},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":12}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}