{"id":"https://openalex.org/W4229442104","doi":"https://doi.org/10.1109/vlsi-dat54769.2022.9768050","title":"Composite Fault Diagnosis of Rotating Machinery With Collaborative Learning","display_name":"Composite Fault Diagnosis of Rotating Machinery With Collaborative Learning","publication_year":2022,"publication_date":"2022-04-18","ids":{"openalex":"https://openalex.org/W4229442104","doi":"https://doi.org/10.1109/vlsi-dat54769.2022.9768050"},"language":"en","primary_location":{"id":"doi:10.1109/vlsi-dat54769.2022.9768050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-dat54769.2022.9768050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)","raw_type":"proceedings-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/A5081872321","display_name":"MP Pavan Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"MP Pavan Kumar","raw_affiliation_strings":["National Sun Yat-sen University,Department of Computer Science and Engineering,Taiwan","Department of Computer Science and Engineering, National Sun Yat-sen University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Sun Yat-sen University,Department of Computer Science and Engineering,Taiwan","institution_ids":["https://openalex.org/I142974352"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-sen University, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070226639","display_name":"Cheng-Jyun Tang","orcid":null},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Jyun Tang","raw_affiliation_strings":["National Sun Yat-sen University,Department of Computer Science and Engineering,Taiwan","Department of Computer Science and Engineering, National Sun Yat-sen University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Sun Yat-sen University,Department of Computer Science and Engineering,Taiwan","institution_ids":["https://openalex.org/I142974352"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-sen University, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088517936","display_name":"Kun-Chih Chen","orcid":"https://orcid.org/0000-0002-8908-468X"},"institutions":[{"id":"https://openalex.org/I142974352","display_name":"National Sun Yat-sen University","ror":"https://ror.org/00mjawt10","country_code":"TW","type":"education","lineage":["https://openalex.org/I142974352"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Kun-Chih Jimmy Chen","raw_affiliation_strings":["National Sun Yat-sen University,Department of Computer Science and Engineering,Taiwan","Department of Computer Science and Engineering, National Sun Yat-sen University, Taiwan"],"affiliations":[{"raw_affiliation_string":"National Sun Yat-sen University,Department of Computer Science and Engineering,Taiwan","institution_ids":["https://openalex.org/I142974352"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, National Sun Yat-sen University, Taiwan","institution_ids":["https://openalex.org/I142974352"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5081872321"],"corresponding_institution_ids":["https://openalex.org/I142974352"],"apc_list":null,"apc_paid":null,"fwci":0.3617,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.55334151,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9947999715805054,"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/T10188","display_name":"Advanced machining processes and optimization","score":0.991100013256073,"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/computer-science","display_name":"Computer science","score":0.7002370357513428},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6611672043800354},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6496914625167847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6042055487632751},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.5070765018463135},{"id":"https://openalex.org/keywords/predictive-maintenance","display_name":"Predictive maintenance","score":0.41845065355300903},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.32957062125205994},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.310773640871048},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17370089888572693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7002370357513428},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6611672043800354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6496914625167847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6042055487632751},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5070765018463135},{"id":"https://openalex.org/C70452415","wikidata":"https://www.wikidata.org/wiki/Q3182448","display_name":"Predictive maintenance","level":2,"score":0.41845065355300903},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.32957062125205994},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.310773640871048},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17370089888572693},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/vlsi-dat54769.2022.9768050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/vlsi-dat54769.2022.9768050","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Symposium on VLSI Design, Automation and Test (VLSI-DAT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.5799999833106995,"display_name":"Affordable and clean energy"}],"awards":[{"id":"https://openalex.org/G2869836807","display_name":null,"funder_award_id":"MOST 110-2221-E-110-026-MY3,MOST 110-2218-E-110-009","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1975514583","https://openalex.org/W2307916739","https://openalex.org/W2768148617","https://openalex.org/W2799599955","https://openalex.org/W2911964244","https://openalex.org/W2937064326","https://openalex.org/W2969098641","https://openalex.org/W3122289273","https://openalex.org/W3163551290"],"related_works":["https://openalex.org/W2033512842","https://openalex.org/W4322734194","https://openalex.org/W1607054433","https://openalex.org/W3005535424","https://openalex.org/W4233600955","https://openalex.org/W2913665393","https://openalex.org/W2369695847","https://openalex.org/W2994319598","https://openalex.org/W2110842462","https://openalex.org/W4233757488"],"abstract_inverted_index":{"Rotating":[0],"machinery":[1],"is":[2,15,61],"a":[3,6,38,53,110,127,221],"machine":[4,71,119],"with":[5,99,209],"rotating":[7,42],"component":[8],"to":[9,37,64,88,115,142,153,175],"do":[10],"the":[11,28,31,41,46,49,66,70,86,90,94,97,113,117,155,177,191,194,200,203,210,214,225,229],"energy":[12],"transformation,":[13],"which":[14,44],"widely":[16],"used":[17],"in":[18,40,93,106,109,134,224],"vehicle":[19],"engines,":[20],"power":[21],"plants,":[22],"manufacturing":[23],"factories,":[24],"etc.":[25],"Because":[26],"of":[27,48,129,193,202,227],"continuous":[29],"rotation,":[30],"bearing":[32],"and":[33,81],"gear":[34],"are":[35],"subject":[36],"defect":[39],"machines,":[43],"damages":[45],"reliability":[47],"machine.":[50,95],"To":[51,121],"provide":[52],"sustained":[54],"normal":[55],"working":[56,67],"status,":[57],"predictive":[58],"maintenance":[59],"(PdM)":[60],"usually":[62],"applied":[63],"monitor":[65],"health":[68],"during":[69],"running":[72],"by":[73],"gathering":[74],"different":[75,107],"sensing":[76,83,145,158,173],"data.":[77],"However,":[78],"highly":[79],"diverse":[80],"massive":[82],"data":[84,159,174],"increase":[85],"challenge":[87],"analyze":[89,143,154],"fault":[91,180,196,231],"signals":[92],"Besides,":[96],"situation":[98],"composite":[100,179,204,230],"faults":[101,103],"(i.e.,":[102],"that":[104],"happen":[105],"components":[108],"machine)":[111],"worsens":[112],"difficulty":[114],"diagnose":[116],"target":[118],"efficiently.":[120],"solve":[122],"this":[123,135,184],"problem,":[124],"we":[125,186],"propose":[126],"kind":[128],"hierarchy":[130],"collaborative":[131,147,216],"learning":[132,141,148,168,212,217],"method":[133,218],"work.":[136],"Different":[137],"from":[138,171],"conventional":[139],"centralized":[140,211],"heterogeneous":[144],"data,":[146],"uses":[149],"multiple":[150],"sub-learning":[151],"units":[152],"local":[156],"homogeneous":[157],"priorly.":[160],"Then,":[161],"perform":[162],"fusion":[163],"operation":[164],"for":[165],"each":[166],"sub":[167],"unit":[169],"obtained":[170],"homogenous":[172],"predict":[176],"final":[178],"diagnosis":[181,197,206],"results.":[182],"In":[183],"way,":[185],"can":[187,219],"not":[188],"only":[189],"ensure":[190],"quality":[192],"signal":[195],"but":[198],"improve":[199],"accuracy":[201,226],"fault's":[205],"significantly.":[207],"Compared":[208],"methods,":[213],"proposed":[215],"achieve":[220],"12%":[222],"improvement":[223],"predicting":[228],"diagnosis.":[232]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
