{"id":"https://openalex.org/W4411408582","doi":"https://doi.org/10.1109/tim.2025.3580880","title":"Multifault Feature Wasserstein Generative Adversarial Networks for Fault Diagnosis in Unbalanced Data","display_name":"Multifault Feature Wasserstein Generative Adversarial Networks for Fault Diagnosis in Unbalanced Data","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4411408582","doi":"https://doi.org/10.1109/tim.2025.3580880"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3580880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3580880","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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":null,"display_name":"Weibo Ren","orcid":"https://orcid.org/0000-0001-8666-4585"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weibo Ren","raw_affiliation_strings":["School of Mechanical Engineering, North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0001-8666-4585","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453835","display_name":"Zhijian Wang","orcid":"https://orcid.org/0000-0002-6794-2065"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhijian Wang","raw_affiliation_strings":["School of Mechanical Engineering, North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-6794-2065","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102008753","display_name":"Zhongxin Chen","orcid":"https://orcid.org/0000-0001-5757-2972"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongxin Chen","raw_affiliation_strings":["School of Mechanical Engineering, North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0001-5757-2972","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100934153","display_name":"Shun Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shun Zhao","raw_affiliation_strings":["School of Mechanical Engineering, North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0009-0007-9526-2458","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015526362","display_name":"Lei Dong","orcid":"https://orcid.org/0000-0001-6151-8848"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Dong","raw_affiliation_strings":["School of Mechanical Engineering, North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0001-6151-8848","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100653131","display_name":"Yanfeng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanfeng Li","raw_affiliation_strings":["School of Mechanical Engineering, North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-5884-5060","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014542596","display_name":"Xin Fan","orcid":"https://orcid.org/0000-0001-6450-234X"},"institutions":[{"id":"https://openalex.org/I135714990","display_name":"North University of China","ror":"https://ror.org/047bp1713","country_code":"CN","type":"education","lineage":["https://openalex.org/I135714990"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Fan","raw_affiliation_strings":["School of Material Science and Engineering, North University of China, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0001-6450-234X","affiliations":[{"raw_affiliation_string":"School of Material Science and Engineering, North University of China, Taiyuan, China","institution_ids":["https://openalex.org/I135714990"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I135714990"],"apc_list":null,"apc_paid":null,"fwci":15.3559,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.98883248,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9922999739646912,"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":0.9922999739646912,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9905999898910522,"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":0.9545000195503235,"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":0.7309951782226562},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6923572421073914},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6180803179740906},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5983738303184509},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4859696626663208},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4817078709602356},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4472160339355469},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4274536669254303},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34262415766716003}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7309951782226562},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6923572421073914},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6180803179740906},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5983738303184509},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4859696626663208},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4817078709602356},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4472160339355469},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4274536669254303},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34262415766716003},{"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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3580880","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3580880","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G6162969912","display_name":null,"funder_award_id":"202403021222145","funder_id":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province"},{"id":"https://openalex.org/G7115929496","display_name":null,"funder_award_id":"52275139","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7237425485","display_name":null,"funder_award_id":"52305140","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7510670871","display_name":null,"funder_award_id":"2021-128","funder_id":"https://openalex.org/F4320321884","funder_display_name":"Shanxi Scholarship Council of China"},{"id":"https://openalex.org/G8796711670","display_name":null,"funder_award_id":"52405566","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8842372121","display_name":null,"funder_award_id":"202403021222177","funder_id":"https://openalex.org/F4320322666","funder_display_name":"Natural Science Foundation of Shanxi Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321884","display_name":"Shanxi Scholarship Council of China","ror":"https://ror.org/04atp4p48"},{"id":"https://openalex.org/F4320322666","display_name":"Natural Science Foundation of Shanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W2058582523","https://openalex.org/W2751084232","https://openalex.org/W2768753204","https://openalex.org/W2952193749","https://openalex.org/W2995683920","https://openalex.org/W2995988442","https://openalex.org/W2998506103","https://openalex.org/W3009287124","https://openalex.org/W3010931250","https://openalex.org/W3014524176","https://openalex.org/W3157121642","https://openalex.org/W3177031903","https://openalex.org/W3198038800","https://openalex.org/W3214066484","https://openalex.org/W4200533191","https://openalex.org/W4210280191","https://openalex.org/W4225666552","https://openalex.org/W4308906783","https://openalex.org/W4320491464","https://openalex.org/W4323545743","https://openalex.org/W4361283831","https://openalex.org/W4386572330","https://openalex.org/W4388937529","https://openalex.org/W4390120136","https://openalex.org/W4391616987","https://openalex.org/W4393965267","https://openalex.org/W4394627317","https://openalex.org/W4399563301","https://openalex.org/W4404238616","https://openalex.org/W4407900610"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W2619203976"],"abstract_inverted_index":{"Due":[0],"to":[1,41,67,80,100,113],"the":[2,33,72,89,118,129,137,145,170],"limitation":[3],"of":[4,35,104,164],"industrial":[5],"conditions":[6],"in":[7,52,84],"production,":[8],"raw":[9,85],"sensor":[10,86],"data":[11,24],"are":[12],"always":[13],"shown":[14],"as":[15],"an":[16],"unbalanced":[17],"dataset,":[18],"characterized":[19],"by":[20],"abundant":[21],"normal":[22],"operational":[23],"and":[25,44,136,166],"scarce":[26],"fault":[27,37,54,106],"instances.":[28],"This":[29],"unbalance":[30],"can":[31,148,158],"degrade":[32],"performance":[34],"conventional":[36],"diagnosis":[38,162],"methods,":[39],"leading":[40],"reduced":[42],"accuracy":[43,163],"unstable":[45],"model":[46],"training.":[47],"To":[48],"address":[49],"this":[50,56],"challenge":[51],"bearing":[53,134,139,151],"diagnosis,":[55],"paper":[57],"proposes":[58],"a":[59,75,160],"Multi-Fault":[60],"Feature":[61],"Wasserstein":[62,122],"Generative":[63],"Adversarial":[64],"Network":[65],"(MFF-WGAN)":[66],"enhance":[68],"diagnostic":[69],"precision.":[70],"First,":[71],"framework":[73],"employs":[74],"multi-encoder":[76],"denoising":[77],"autoencoder":[78],"architecture":[79],"mitigate":[81],"noise":[82],"interference":[83],"data.":[87],"Subsequently,":[88],"proposed":[90,146],"MFF-WGAN":[91],"integrates":[92],"label":[93],"information":[94],"into":[95],"its":[96],"adversarial":[97,124],"loss":[98],"function":[99],"enable":[101],"simultaneous":[102],"generation":[103,123],"diverse":[105],"categories,":[107],"while":[108],"incorporating":[109],"inter-class":[110],"feature":[111,121],"discrepancies":[112],"refine":[114],"sample":[115],"quality.":[116],"Finally,":[117],"developed":[119],"multi-fault":[120],"network":[125],"is":[126],"tested":[127],"on":[128],"Case":[130],"Western":[131],"Reserve":[132],"University":[133],"dataset":[135],"laboratory":[138],"dataset.":[140],"Computational":[141],"results":[142],"show":[143],"that":[144],"method":[147],"generate":[149],"high-quality":[150],"samples":[152],"with":[153,169],"multiple":[154],"faults":[155],"effectively,":[156],"which":[157],"obtain":[159],"higher":[161],"99.01%":[165],"97.71%":[167],"compared":[168],"existing":[171],"methods.":[172]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
