{"id":"https://openalex.org/W4206057957","doi":"https://doi.org/10.1109/tii.2021.3138558","title":"Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers","display_name":"Cross-Domain Open-Set Machinery Fault Diagnosis Based on Adversarial Network With Multiple Auxiliary Classifiers","publication_year":2021,"publication_date":"2021-12-28","ids":{"openalex":"https://openalex.org/W4206057957","doi":"https://doi.org/10.1109/tii.2021.3138558"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2021.3138558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3138558","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5005673731","display_name":"Jun Zhu","orcid":"https://orcid.org/0000-0003-2544-5084"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Zhu","raw_affiliation_strings":["School of Civil Aviation, Northwestern Polytechnical University, Xi’an, China","Yangtze River Delta Research Institute of Northwestern Polytechnical University, Taicang, China"],"raw_orcid":"https://orcid.org/0000-0003-2544-5084","affiliations":[{"raw_affiliation_string":"School of Civil Aviation, Northwestern Polytechnical University, Xi’an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"Yangtze River Delta Research Institute of Northwestern Polytechnical University, Taicang, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050974488","display_name":"Cheng\u2010Geng Huang","orcid":"https://orcid.org/0000-0001-8538-7248"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cheng-Geng Huang","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-Sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8538-7248","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-Sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091072755","display_name":"Changqing Shen","orcid":"https://orcid.org/0000-0002-5143-8366"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]},{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Changqing Shen","raw_affiliation_strings":["State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, China","School of Rail Transportation, Soochow University, Suzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-5143-8366","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, China","institution_ids":["https://openalex.org/I90090648"]},{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010327385","display_name":"Yongjun Shen","orcid":"https://orcid.org/0000-0002-8768-1958"},"institutions":[{"id":"https://openalex.org/I90090648","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065","country_code":"CN","type":"education","lineage":["https://openalex.org/I90090648"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjun Shen","raw_affiliation_strings":["State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, China"],"raw_orcid":"https://orcid.org/0000-0002-8768-1958","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang, China","institution_ids":["https://openalex.org/I90090648"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":9.9978,"has_fulltext":false,"cited_by_count":112,"citation_normalized_percentile":{"value":0.98750908,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"18","issue":"11","first_page":"8077","last_page":"8086"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9966999888420105,"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":0.9966999888420105,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9602000117301941,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9424999952316284,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.7310724258422852},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6810969710350037},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6437720656394958},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5981260538101196},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.5587777495384216},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5583117008209229},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5437936782836914},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4809771776199341},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4723590314388275},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.46734505891799927},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4649445116519928},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.46328750252723694},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4511019289493561},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4113613963127136},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12950125336647034}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7310724258422852},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6810969710350037},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6437720656394958},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5981260538101196},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.5587777495384216},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5583117008209229},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5437936782836914},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4809771776199341},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4723590314388275},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.46734505891799927},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4649445116519928},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46328750252723694},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4511019289493561},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4113613963127136},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12950125336647034},{"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/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2021.3138558","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2021.3138558","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1301602893","display_name":null,"funder_award_id":"D5000210509","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3635988892","display_name":null,"funder_award_id":"51875375","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4952348890","display_name":null,"funder_award_id":"KF2021-12","funder_id":"https://openalex.org/F4320316089","funder_display_name":"Shijiazhuang Tiedao University"},{"id":"https://openalex.org/G6984802701","display_name":null,"funder_award_id":"62003377","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320316089","display_name":"Shijiazhuang Tiedao University","ror":"https://ror.org/022e9e065"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"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":38,"referenced_works":["https://openalex.org/W1882958252","https://openalex.org/W1966973902","https://openalex.org/W2027515925","https://openalex.org/W2159291411","https://openalex.org/W2187089797","https://openalex.org/W2562762876","https://openalex.org/W2603304445","https://openalex.org/W2750050145","https://openalex.org/W2763583057","https://openalex.org/W2768753204","https://openalex.org/W2798593490","https://openalex.org/W2903722520","https://openalex.org/W2903917280","https://openalex.org/W2912073957","https://openalex.org/W2935987343","https://openalex.org/W2969736276","https://openalex.org/W2981704932","https://openalex.org/W2981982720","https://openalex.org/W2986432779","https://openalex.org/W2991521245","https://openalex.org/W2993397516","https://openalex.org/W2998506103","https://openalex.org/W3020886907","https://openalex.org/W3030489213","https://openalex.org/W3048265828","https://openalex.org/W3083358932","https://openalex.org/W3100804201","https://openalex.org/W3122985179","https://openalex.org/W3123146821","https://openalex.org/W3138139612","https://openalex.org/W3142041738","https://openalex.org/W3160541836","https://openalex.org/W3184267170","https://openalex.org/W4402843978","https://openalex.org/W6639480849","https://openalex.org/W6683633756","https://openalex.org/W6750426974","https://openalex.org/W6790587931"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W2180954594","https://openalex.org/W2756978580","https://openalex.org/W4283211831","https://openalex.org/W2798287483","https://openalex.org/W3095487414","https://openalex.org/W2901026139"],"abstract_inverted_index":{"Cross-domain":[0],"fault":[1,71,145,159],"diagnosis":[2,83],"methods":[3,32],"based":[4],"on":[5,168],"transfer":[6,82],"learning":[7],"attempt":[8],"to":[9,19,90,100,115,121],"leverage":[10],"knowledge":[11,120],"from":[12,103],"a":[13,20,112],"domain":[14,24,119,131,150,154],"with":[15,25,125,134],"sufficient":[16],"labeled":[17],"samples":[18],"different":[21],"but":[22],"related":[23],"few":[26],"or":[27],"even":[28],"nonlabeled":[29],"samples.":[30],"These":[31],"have":[33],"been":[34],"widely":[35],"investigated":[36],"in":[37,66,75,87,147],"the":[38,42,49,58,76,92,117,141,148,153,157,162,173,178],"past":[39],"years.":[40],"Notwithstanding":[41],"efficacy,":[43],"most":[44],"existing":[45],"approaches":[46],"assume":[47],"that":[48],"label":[50],"spaces":[51],"of":[52,161,177],"training":[53],"and":[54,143,151,164,175],"testing":[55,77],"data":[56],"are":[57],"same.":[59],"However,":[60],"this":[61,88],"assumption":[62],"is":[63,85,98],"not":[64],"practical":[65],"actual":[67],"applications":[68],"because":[69],"new":[70,129],"category":[72,160],"usually":[73],"happens":[74],"stage.":[78],"A":[79],"cross-domain":[80],"open-set":[81],"method":[84],"presented":[86],"article":[89],"manage":[91],"aforementioned":[93],"problem.":[94],"Domain":[95],"adversarial":[96,130],"model":[97],"employed":[99],"discriminate":[101],"known":[102,144],"unknown":[104,142],"target":[105,123,149,165],"instances.":[106],"Moreover,":[107],"multiple":[108],"auxiliary":[109],"classifiers":[110,137],"introduce":[111],"weighting":[113],"module":[114],"evaluate":[116],"distinguishing":[118],"provide":[122],"instances":[124],"representative":[126],"weights.":[127],"The":[128],"adaptation":[132],"network":[133],"diverse":[135],"supplementary":[136],"can":[138],"effectively":[139],"identify":[140],"categories":[146],"bridge":[152],"shift":[155],"between":[156],"common":[158],"source":[163],"domain.":[166],"Experiments":[167],"two":[169],"bearing":[170],"datasets":[171],"show":[172],"effectiveness":[174],"advantage":[176],"proposed":[179],"method.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":29},{"year":2024,"cited_by_count":40},{"year":2023,"cited_by_count":26},{"year":2022,"cited_by_count":6}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}