{"id":"https://openalex.org/W3196420684","doi":"https://doi.org/10.1109/tie.2021.3108719","title":"A One-Class Generative Adversarial Detection Framework for Multifunctional Fault Diagnoses","display_name":"A One-Class Generative Adversarial Detection Framework for Multifunctional Fault Diagnoses","publication_year":2021,"publication_date":"2021-09-03","ids":{"openalex":"https://openalex.org/W3196420684","doi":"https://doi.org/10.1109/tie.2021.3108719","mag":"3196420684"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2021.3108719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2021.3108719","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","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/A5083455297","display_name":"Ziqiang Pu","orcid":"https://orcid.org/0000-0001-8186-8239"},"institutions":[{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ziqiang Pu","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8186-8239","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014768814","display_name":"Diego Cabrera","orcid":"https://orcid.org/0000-0003-1023-871X"},"institutions":[{"id":"https://openalex.org/I3132940433","display_name":"Politecnica Salesiana University","ror":"https://ror.org/00f11af73","country_code":"EC","type":"education","lineage":["https://openalex.org/I3132940433"]}],"countries":["EC"],"is_corresponding":false,"raw_author_name":"Diego Cabrera","raw_affiliation_strings":["GIDTEC Group, Universidad Polit\u00e9cnica Salesiana, Cuenca, Ecuador"],"raw_orcid":"https://orcid.org/0000-0003-1023-871X","affiliations":[{"raw_affiliation_string":"GIDTEC Group, Universidad Polit\u00e9cnica Salesiana, Cuenca, Ecuador","institution_ids":["https://openalex.org/I3132940433"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010243176","display_name":"Yun Bai","orcid":"https://orcid.org/0000-0003-2710-7994"},"institutions":[{"id":"https://openalex.org/I71503853","display_name":"University of Algarve","ror":"https://ror.org/014g34x36","country_code":"PT","type":"education","lineage":["https://openalex.org/I71503853"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Yun Bai","raw_affiliation_strings":["Faculty of Science and Technology, University of Algarve, Faro, Portugal"],"raw_orcid":"https://orcid.org/0000-0003-2710-7994","affiliations":[{"raw_affiliation_string":"Faculty of Science and Technology, University of Algarve, Faro, Portugal","institution_ids":["https://openalex.org/I71503853"]}]},{"author_position":"last","author":{"id":null,"display_name":"Chuan Li","orcid":"https://orcid.org/0000-0002-1809-8128"},"institutions":[{"id":"https://openalex.org/I145581781","display_name":"Chongqing Technology and Business University","ror":"https://ror.org/05hqf1284","country_code":"CN","type":"education","lineage":["https://openalex.org/I145581781"]},{"id":"https://openalex.org/I23171815","display_name":"Zhengzhou University of Light Industry","ror":"https://ror.org/05fwr8z16","country_code":"CN","type":"education","lineage":["https://openalex.org/I23171815"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Li","raw_affiliation_strings":["College of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","Research Center for System Health Maintenance, Chongqing Technology and Business University, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-1809-8128","affiliations":[{"raw_affiliation_string":"College of Mechanical and Electrical Engineering, Zhengzhou University of Light Industry, Zhengzhou, China","institution_ids":["https://openalex.org/I23171815"]},{"raw_affiliation_string":"Research Center for System Health Maintenance, Chongqing Technology and Business University, Chongqing, China","institution_ids":["https://openalex.org/I145581781"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083455297"],"corresponding_institution_ids":["https://openalex.org/I23171815"],"apc_list":null,"apc_paid":null,"fwci":5.3168,"has_fulltext":false,"cited_by_count":55,"citation_normalized_percentile":{"value":0.96323745,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"69","issue":"8","first_page":"8411","last_page":"8419"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9977999925613403,"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":0.9977999925613403,"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":0.9968000054359436,"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":0.9965999722480774,"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/novelty-detection","display_name":"Novelty detection","score":0.7003282904624939},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6660845279693604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6484061479568481},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6445509195327759},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5848863124847412},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5671054124832153},{"id":"https://openalex.org/keywords/one-class-classification","display_name":"One-class classification","score":0.5144148468971252},{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.5071613788604736},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.47877466678619385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4725964665412903},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4682045578956604},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4647862911224365},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.44433826208114624},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4258267283439636},{"id":"https://openalex.org/keywords/novelty","display_name":"Novelty","score":0.38222813606262207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3744305372238159}],"concepts":[{"id":"https://openalex.org/C2778924833","wikidata":"https://www.wikidata.org/wiki/Q7064603","display_name":"Novelty detection","level":3,"score":0.7003282904624939},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6660845279693604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6484061479568481},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6445509195327759},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5848863124847412},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5671054124832153},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.5144148468971252},{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.5071613788604736},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.47877466678619385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4725964665412903},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4682045578956604},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4647862911224365},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.44433826208114624},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4258267283439636},{"id":"https://openalex.org/C2778738651","wikidata":"https://www.wikidata.org/wiki/Q16546687","display_name":"Novelty","level":2,"score":0.38222813606262207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3744305372238159},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C27206212","wikidata":"https://www.wikidata.org/wiki/Q34178","display_name":"Theology","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},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","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":2,"locations":[{"id":"doi:10.1109/tie.2021.3108719","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2021.3108719","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","raw_type":"journal-article"},{"id":"pmh:oai:sapientia.ualg.pt:10400.1/17847","is_oa":false,"landing_page_url":"http://hdl.handle.net/10400.1/17847","pdf_url":null,"source":{"id":"https://openalex.org/S4306401952","display_name":"Sapientia (Algarve University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I71503853","host_organization_name":"University of Algarve","host_organization_lineage":["https://openalex.org/I71503853"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"journal article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G195051817","display_name":null,"funder_award_id":"71801044","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2806100627","display_name":null,"funder_award_id":"cstc2019jcyj-zdxmX0013","funder_id":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing"},{"id":"https://openalex.org/G3780962767","display_name":null,"funder_award_id":"51775112","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4864091059","display_name":null,"funder_award_id":"52175080","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7473214046","display_name":null,"funder_award_id":"2019B1515120095","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323172","display_name":"Natural Science Foundation of Chongqing","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1522301498","https://openalex.org/W1605844890","https://openalex.org/W1965555277","https://openalex.org/W2007586811","https://openalex.org/W2016258134","https://openalex.org/W2024010015","https://openalex.org/W2025183033","https://openalex.org/W2040895929","https://openalex.org/W2060300932","https://openalex.org/W2087340291","https://openalex.org/W2099471712","https://openalex.org/W2104933073","https://openalex.org/W2105497548","https://openalex.org/W2109628770","https://openalex.org/W2115627867","https://openalex.org/W2119821739","https://openalex.org/W2144354855","https://openalex.org/W2340896621","https://openalex.org/W2768753204","https://openalex.org/W2889285628","https://openalex.org/W2897680073","https://openalex.org/W2902985761","https://openalex.org/W2925322067","https://openalex.org/W2939053413","https://openalex.org/W2942245950","https://openalex.org/W2943389092","https://openalex.org/W2945228284","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963470893","https://openalex.org/W2963684088","https://openalex.org/W2971801691","https://openalex.org/W2983948788","https://openalex.org/W2990257819","https://openalex.org/W2995158536","https://openalex.org/W2995758361","https://openalex.org/W2998506103","https://openalex.org/W2999155878","https://openalex.org/W3010542492","https://openalex.org/W3015229244","https://openalex.org/W3044000225","https://openalex.org/W4247999480","https://openalex.org/W4294568686","https://openalex.org/W6631190155","https://openalex.org/W6685352114","https://openalex.org/W6715501732","https://openalex.org/W6718379498"],"related_works":["https://openalex.org/W4391520001","https://openalex.org/W3164768164","https://openalex.org/W2988217341","https://openalex.org/W3113278055","https://openalex.org/W4288455183","https://openalex.org/W2755992404","https://openalex.org/W2981218876","https://openalex.org/W3171512724","https://openalex.org/W4321617121","https://openalex.org/W2077989092"],"abstract_inverted_index":{"In":[0,53],"this":[1,50],"article,":[2],"fault":[3,47,57,64,95,99,113,153,169],"diagnosis":[4,16,35,48,58,65,96,187],"is":[5,39,83,124,136,159],"of":[6,69,167],"great":[7],"significance":[8],"for":[9,46,90,151,182],"system":[10],"health":[11],"maintenance.":[12],"For":[13],"real":[14],"applications,":[15],"accuracy":[17],"suffers":[18],"from":[19,108,144,147],"unbalanced":[20],"data":[21,25,45],"patterns,":[22],"where":[23],"normal":[24,44,103,129],"are":[26],"usually":[27],"abundant":[28],"than":[29],"anomaly":[30],"ones,":[31],"leading":[32],"to":[33,41,85],"tremendous":[34],"obstacles.":[36],"Therefore,":[37],"it":[38],"challenging":[40],"use":[42],"only":[43,61,102,128],"under":[49],"imbalanced":[51],"condition.":[52],"addition,":[54],"a":[55,72],"single":[56],"model":[59,158,178],"can":[60],"conduct":[62],"one":[63],"task":[66],"in":[67],"most":[68],"cases.":[70],"Accordingly,":[71],"one-class":[73,87,132],"generative":[74,120],"adversarial":[75,121],"detection":[76,100,107,170],"(OCGAD)":[77],"framework":[78],"based":[79],"on":[80],"semisupervised":[81,94,186],"learning":[82],"proposed":[84],"learn":[86],"latent":[88],"knowledge":[89,104],"dealing":[91,183],"with":[92,115,127,165,184],"multiple":[93,185],"tasks,":[97],"i.e.,":[98],"using":[101,139,161],"learning,":[105],"novelty":[106],"unknown":[109],"conditional":[110],"data,":[111],"and":[112],"classification":[114],"unlabeled":[116],"data.":[117,130],"A":[118,131],"bi-directional":[119],"network":[122],"(Bi-GAN)":[123],"first":[125],"trained":[126],"support":[133],"vector":[134],"machine":[135],"then":[137],"established":[138],"features":[140],"exacted":[141],"by":[142],"Bi-GAN":[143],"signals":[145],"acquired":[146],"an":[148,162],"attitude":[149],"sensor":[150],"multifunctional":[152],"detection.":[154],"The":[155,172],"presented":[156],"OCGAD":[157],"validated":[160],"industrial":[163],"robot":[164],"experiments":[166],"three":[168],"tasks.":[171],"results":[173],"demonstrate":[174],"that":[175],"the":[176],"present":[177],"has":[179],"good":[180],"performance":[181],"problems.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":17},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-20T08:49:12.498775","created_date":"2025-10-10T00:00:00"}
