{"id":"https://openalex.org/W4410358447","doi":"https://doi.org/10.1109/tase.2025.3570077","title":"Contrastive Conditional Adversarial Autoencoder With Class-Specific Forces for Imbalanced Open-Set Fault Detection","display_name":"Contrastive Conditional Adversarial Autoencoder With Class-Specific Forces for Imbalanced Open-Set Fault Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410358447","doi":"https://doi.org/10.1109/tase.2025.3570077"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2025.3570077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3570077","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5029011764","display_name":"Zhonglin Zuo","orcid":"https://orcid.org/0000-0001-6283-1668"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhonglin Zuo","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6283-1668","affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103233242","display_name":"T.H. Meng","orcid":"https://orcid.org/0000-0001-7871-0457"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Meng","raw_affiliation_strings":["School of Aeronautics and Astronautics, Zhejiang University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-7871-0457","affiliations":[{"raw_affiliation_string":"School of Aeronautics and Astronautics, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Zheng Li","orcid":"https://orcid.org/0000-0001-6953-6768"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Li","raw_affiliation_strings":["School of Automation, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-6953-6768","affiliations":[{"raw_affiliation_string":"School of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057401450","display_name":"Hao Zhang","orcid":"https://orcid.org/0000-0002-4036-7961"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zhang","raw_affiliation_strings":["School of Automation, Chongqing University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-4036-7961","affiliations":[{"raw_affiliation_string":"School of Automation, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100392628","display_name":"Tong Liu","orcid":"https://orcid.org/0000-0001-9555-7511"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tong Liu","raw_affiliation_strings":["Department of Computer Science, The University of Sheffield, Sheffield, U.K","Department of Computer Science, University of Sheffield, Sheffield, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, The University of Sheffield, Sheffield, U.K","institution_ids":["https://openalex.org/I91136226"]},{"raw_affiliation_string":"Department of Computer Science, University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103182016","display_name":"Zhansheng Chen","orcid":"https://orcid.org/0000-0003-0873-3391"},"institutions":[{"id":"https://openalex.org/I91136226","display_name":"University of Sheffield","ror":"https://ror.org/05krs5044","country_code":"GB","type":"education","lineage":["https://openalex.org/I91136226"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Zhansheng Chen","raw_affiliation_strings":["Shanghai Aerospace Space Technology Company Ltd., Shanghai, China","Department of Computer Science, University of Sheffield, Sheffield, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai Aerospace Space Technology Company Ltd., Shanghai, China","institution_ids":[]},{"raw_affiliation_string":"Department of Computer Science, University of Sheffield, Sheffield, UK","institution_ids":["https://openalex.org/I91136226"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070930704","display_name":"Zhibo Pang","orcid":"https://orcid.org/0000-0002-7474-4294"},"institutions":[{"id":"https://openalex.org/I4210086503","display_name":"ABB (Sweden)","ror":"https://ror.org/0033n4009","country_code":"SE","type":"company","lineage":["https://openalex.org/I4210086503","https://openalex.org/I885143765"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Zhibo Pang","raw_affiliation_strings":["Department of Automation Technology, ABB Corporate Research Sweden, V&#x00E4;ster&#x00E5;s, Sweden","Department of Automation Technology, ABB Corporate Research Sweden, Vasteras, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-7474-4294","affiliations":[{"raw_affiliation_string":"Department of Automation Technology, ABB Corporate Research Sweden, V&#x00E4;ster&#x00E5;s, Sweden","institution_ids":[]},{"raw_affiliation_string":"Department of Automation Technology, ABB Corporate Research Sweden, Vasteras, Sweden","institution_ids":["https://openalex.org/I4210086503"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5029011764"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":2.1733,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.8837147,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"22","issue":null,"first_page":"15757","last_page":"15767"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9878000020980835,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9790999889373779,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8205835819244385},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7673181295394897},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.6149144172668457},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.603756844997406},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5774103999137878},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5413557887077332},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5202775597572327},{"id":"https://openalex.org/keywords/open-set","display_name":"Open set","score":0.5017411708831787},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4465731978416443},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.429068386554718},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.368137001991272},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.22737383842468262},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.15772709250450134},{"id":"https://openalex.org/keywords/actuator","display_name":"Actuator","score":0.10983851552009583}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8205835819244385},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7673181295394897},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.6149144172668457},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.603756844997406},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5774103999137878},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5413557887077332},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5202775597572327},{"id":"https://openalex.org/C42357961","wikidata":"https://www.wikidata.org/wiki/Q213363","display_name":"Open set","level":2,"score":0.5017411708831787},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4465731978416443},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.429068386554718},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.368137001991272},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.22737383842468262},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.15772709250450134},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.10983851552009583},{"id":"https://openalex.org/C118615104","wikidata":"https://www.wikidata.org/wiki/Q121416","display_name":"Discrete mathematics","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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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/tase.2025.3570077","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3570077","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.5199999809265137,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G103875371","display_name":null,"funder_award_id":"LR24F030001","funder_id":"https://openalex.org/F4320338512","funder_display_name":"Zhejiang Provincial Outstanding Youth Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320338512","display_name":"Zhejiang Provincial Outstanding Youth Science Foundation","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2004186751","https://openalex.org/W2018459374","https://openalex.org/W2025768430","https://openalex.org/W2592232824","https://openalex.org/W2743138268","https://openalex.org/W2842511635","https://openalex.org/W2963045681","https://openalex.org/W2963691377","https://openalex.org/W2973218493","https://openalex.org/W2999414995","https://openalex.org/W3015316773","https://openalex.org/W3019898994","https://openalex.org/W3092704883","https://openalex.org/W3108655343","https://openalex.org/W3115455310","https://openalex.org/W3129082918","https://openalex.org/W3200647619","https://openalex.org/W3205893516","https://openalex.org/W4205277493","https://openalex.org/W4213193991","https://openalex.org/W4214928119","https://openalex.org/W4284713852","https://openalex.org/W4285213432","https://openalex.org/W4289656504","https://openalex.org/W4289792391","https://openalex.org/W4313137520","https://openalex.org/W4376481326","https://openalex.org/W4376626035","https://openalex.org/W4385153855","https://openalex.org/W4387587797","https://openalex.org/W4396500066","https://openalex.org/W4400111070","https://openalex.org/W4407168469","https://openalex.org/W6688386640","https://openalex.org/W6751494907","https://openalex.org/W6778102432"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2502115930","https://openalex.org/W2803255133","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338"],"abstract_inverted_index":{"In":[0,61],"real-world":[1,170],"industrial":[2,48],"scenarios,":[3],"fault":[4,22,39,57,96,132],"detection":[5,40,133,173],"faces":[6],"the":[7,19,27,90,141,158,164],"widely":[8],"recognized":[9],"challenge":[10],"of":[11,21,92,144,163],"data":[12,23,87,136],"imbalance,":[13],"which":[14],"not":[15],"only":[16],"refers":[17],"to":[18,88,104,108,122,155],"scarcity":[20],"but":[24],"also":[25],"includes":[26],"imbalance":[28],"in":[29,47],"healthy":[30,52,84],"data.":[31],"This":[32],"article":[33],"is":[34,167],"concerned":[35],"with":[36,100],"imbalanced":[37,109],"open-set":[38],"(IOSFD),":[41],"a":[42,66,124],"practical":[43],"yet":[44],"challenging":[45],"scenario":[46],"applications":[49],"where":[50],"multiple":[51,56],"operating":[53,118],"conditions":[54],"and":[55,85,113,128,134,151,174],"types":[58],"are":[59,120],"imbalanced.":[60],"this":[62],"article,":[63],"we":[64,139],"propose":[65],"new":[67],"contrastive":[68,149],"conditional":[69,145],"adversarial":[70,153],"autoencoder":[71],"for":[72],"IOSFD.":[73],"It":[74],"constructs":[75],"an":[76],"end-to-end":[77],"unified":[78],"model":[79],"based":[80,147],"on":[81,95,117,148],"multi-class":[82],"known":[83,110,135],"faulty":[86],"address":[89],"reliance":[91],"traditional":[93],"methods":[94],"samples,":[97],"while":[98],"optimizing":[99],"class-specific":[101],"weighted":[102],"forces":[103],"ensure":[105],"equal":[106],"attention":[107],"classes.":[111],"Input":[112],"feature":[114],"reconstruction":[115,146],"conditioned":[116],"modes":[119],"utilized":[121],"learn":[123],"compact":[125],"decision":[126],"plane":[127],"achieve":[129],"both":[130],"unknown":[131],"classification.":[137],"Significantly,":[138],"formulate":[140],"optimization":[142],"objective":[143],"learning":[150],"introduce":[152],"training":[154],"further":[156],"enhance":[157],"model\u2019s":[159],"performance.":[160],"The":[161],"effectiveness":[162],"proposed":[165],"method":[166],"validated":[168],"through":[169],"pipeline":[171],"leak":[172],"Tennessee-Eastman":[175],"multi-fault":[176],"detection.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
