{"id":"https://openalex.org/W3095042947","doi":"https://doi.org/10.1109/tim.2020.3035385","title":"Intelligent Fault Diagnosis With Deep Adversarial Domain Adaptation","display_name":"Intelligent Fault Diagnosis With Deep Adversarial Domain Adaptation","publication_year":2020,"publication_date":"2020-11-03","ids":{"openalex":"https://openalex.org/W3095042947","doi":"https://doi.org/10.1109/tim.2020.3035385","mag":"3095042947"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2020.3035385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3035385","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":"https://openalex.org/A5100626680","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0002-8344-1586"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Wang","raw_affiliation_strings":["State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-8344-1586","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072887757","display_name":"Xiaojie Sun","orcid":"https://orcid.org/0000-0002-8033-2114"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojie Sun","raw_affiliation_strings":["State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-8033-2114","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100428162","display_name":"Jie Li","orcid":"https://orcid.org/0000-0001-6391-828X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0001-6391-828X","affiliations":[{"raw_affiliation_string":"State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"State Key Laboratory for Manufacturing and Systems Engineering, School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060356390","display_name":"Ying Yang","orcid":"https://orcid.org/0000-0002-2032-9183"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Yang","raw_affiliation_strings":["Department of Mechanics and Engineering Science, College of Engineering, Peking University, Peking, China"],"raw_orcid":"https://orcid.org/0000-0002-2032-9183","affiliations":[{"raw_affiliation_string":"Department of Mechanics and Engineering Science, College of Engineering, Peking University, Peking, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100626680"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":6.1,"has_fulltext":false,"cited_by_count":76,"citation_normalized_percentile":{"value":0.96963516,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9901000261306763,"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":0.9901000261306763,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9812999963760376,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9811000227928162,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7325419187545776},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6825929284095764},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6787209510803223},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5377519130706787},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.5210379958152771},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5132386684417725},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.5035638213157654},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.48705223202705383},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.46983927488327026},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4675504267215729},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4613644480705261},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45256689190864563},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4505007863044739},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.2936147153377533},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1256829798221588}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7325419187545776},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6825929284095764},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6787209510803223},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5377519130706787},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.5210379958152771},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5132386684417725},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.5035638213157654},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48705223202705383},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.46983927488327026},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4675504267215729},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4613644480705261},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45256689190864563},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4505007863044739},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2936147153377533},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1256829798221588},{"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/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/tim.2020.3035385","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3035385","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":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1986576613","display_name":null,"funder_award_id":"51875437","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5346287954","display_name":null,"funder_award_id":"61633001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W385466589","https://openalex.org/W1565327149","https://openalex.org/W1731081199","https://openalex.org/W1875842236","https://openalex.org/W1982696459","https://openalex.org/W2066543732","https://openalex.org/W2069106232","https://openalex.org/W2115403315","https://openalex.org/W2122662167","https://openalex.org/W2165698076","https://openalex.org/W2317595875","https://openalex.org/W2541678333","https://openalex.org/W2556013418","https://openalex.org/W2591055632","https://openalex.org/W2738563279","https://openalex.org/W2740497745","https://openalex.org/W2763583057","https://openalex.org/W2767234670","https://openalex.org/W2770645414","https://openalex.org/W2898375427","https://openalex.org/W2907541186","https://openalex.org/W2942862636","https://openalex.org/W2946724317","https://openalex.org/W2962879692","https://openalex.org/W2963777311","https://openalex.org/W2964117661","https://openalex.org/W2999216888","https://openalex.org/W3015947038","https://openalex.org/W3031466690","https://openalex.org/W4295521014","https://openalex.org/W6633949838","https://openalex.org/W6637618735","https://openalex.org/W6735913928","https://openalex.org/W6741850705","https://openalex.org/W6746789195","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W3095487414","https://openalex.org/W2901026139","https://openalex.org/W2791025012","https://openalex.org/W2028936140","https://openalex.org/W2043884319","https://openalex.org/W2028462208","https://openalex.org/W2982831492","https://openalex.org/W4285337533","https://openalex.org/W2187490799","https://openalex.org/W1574942924"],"abstract_inverted_index":{"With":[0],"the":[1,16,25,44,50,53,61,66,72,78,106,114,119,130,143,176,179],"rapid":[2],"development":[3],"of":[4,18,28,149,160,178],"fault":[5,20,97],"diagnosis":[6,21,98],"methods":[7,22,47],"based":[8,104],"on":[9,36,105],"deep":[10,89],"learning,":[11],"many":[12],"studies":[13],"have":[14],"investigated":[15],"transfer":[17,96],"intelligent":[19],"to":[23,74,95,109,128,174],"learn":[24,110,129],"domain-invariant":[26,38,111],"features":[27,39,112,132],"machines":[29],"under":[30],"different":[31],"conditions.":[32],"Previous":[33],"researches":[34],"focused":[35],"learning":[37],"through":[40],"domain":[41,45,51,68,91,144],"adaptation.":[42],"However,":[43],"alignment":[46],"cannot":[48],"remove":[49],"shift,":[52],"target":[54],"samples":[55],"may":[56],"be":[57,75],"incorrectly":[58],"classified":[59],"by":[60],"decision":[62],"boundary":[63],"learned":[64],"from":[65,113,165],"source":[67],"and":[69,137,156,169],"eventually":[70],"cause":[71],"domains":[73],"aligned":[76],"in":[77],"wrong":[79],"direction.":[80],"To":[81],"cope":[82],"with":[83,123,133],"this":[84],"problem,":[85],"we":[86],"propose":[87],"a":[88,124,157],"adversarial":[90],"adaptation":[92],"network":[93,120],"(DADAN)":[94],"knowledge.":[99],"DADAN":[100],"uses":[101],"domain-adversarial":[102],"training":[103],"Wasserstein":[107],"distance":[108],"raw":[115],"signal.":[116],"In":[117],"addition,":[118],"is":[121],"combined":[122],"supervised":[125],"instance-based":[126],"method":[127],"discriminative":[131],"better":[134],"intraclass":[135],"cohesion":[136],"interclass":[138],"separability,":[139],"which":[140],"can":[141],"benefit":[142],"alignment.":[145],"A":[146],"data":[147,151,158,163],"set":[148,159],"bearing":[150],"including":[152],"three":[153],"speed":[154],"conditions":[155,171],"hard":[161],"disk":[162],"acquired":[164],"accelerated":[166],"degradation":[167],"test":[168],"real-case":[170],"were":[172],"used":[173],"evaluate":[175],"performance":[177],"proposed":[180],"DADAN.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":15},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":9}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
