{"id":"https://openalex.org/W3093638387","doi":"https://doi.org/10.1109/tim.2020.3031198","title":"Conditional Adversarial Domain Adaptation With Discrimination Embedding for Locomotive Fault Diagnosis","display_name":"Conditional Adversarial Domain Adaptation With Discrimination Embedding for Locomotive Fault Diagnosis","publication_year":2020,"publication_date":"2020-10-21","ids":{"openalex":"https://openalex.org/W3093638387","doi":"https://doi.org/10.1109/tim.2020.3031198","mag":"3093638387"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2020.3031198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3031198","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/A5101804471","display_name":"Xiaolei Yu","orcid":"https://orcid.org/0000-0003-0628-254X"},"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":"Xiaolei Yu","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081020964","display_name":"Zhibin Zhao","orcid":"https://orcid.org/0000-0003-4180-7137"},"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":"Zhibin Zhao","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059226149","display_name":"Xingwu Zhang","orcid":"https://orcid.org/0000-0002-6096-8828"},"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":"Xingwu Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027894205","display_name":"Chuang Sun","orcid":"https://orcid.org/0000-0001-6616-3791"},"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":"Chuang Sun","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028993015","display_name":"Baogui Gong","orcid":"https://orcid.org/0000-0002-8291-1398"},"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":"Baogui Gong","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011148961","display_name":"Ruqiang Yan","orcid":"https://orcid.org/0000-0002-1250-4084"},"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":"Ruqiang Yan","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100779843","display_name":"Xuefeng Chen","orcid":"https://orcid.org/0000-0002-0130-3172"},"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":"Xuefeng Chen","raw_affiliation_strings":["School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101804471"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":9.4979,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":{"value":0.98579484,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9983999729156494,"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":0.9983999729156494,"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":0.96670001745224,"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"}},{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9653000235557556,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.8996546864509583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5921804904937744},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5818349719047546},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5616099834442139},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.500518798828125},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.4931795001029968},{"id":"https://openalex.org/keywords/test-data","display_name":"Test data","score":0.4771941602230072},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4652788043022156},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4338729977607727},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4291324019432068},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.4206109941005707},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3896018862724304},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32920995354652405}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.8996546864509583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5921804904937744},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5818349719047546},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5616099834442139},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.500518798828125},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.4931795001029968},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.4771941602230072},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4652788043022156},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4338729977607727},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4291324019432068},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.4206109941005707},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3896018862724304},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32920995354652405},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2020.3031198","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.3031198","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":0.699999988079071,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G4176774151","display_name":null,"funder_award_id":"51805406","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6532014709","display_name":null,"funder_award_id":"51775408","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8526369915","display_name":null,"funder_award_id":"2017-I-0006-0007","funder_id":"https://openalex.org/F4320329860","funder_display_name":"National Science and Technology Major Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W1498436455","https://openalex.org/W1565327149","https://openalex.org/W1731081199","https://openalex.org/W1836465849","https://openalex.org/W1882958252","https://openalex.org/W1987971958","https://openalex.org/W2099471712","https://openalex.org/W2102419107","https://openalex.org/W2131953535","https://openalex.org/W2134502076","https://openalex.org/W2157762168","https://openalex.org/W2187089797","https://openalex.org/W2324044936","https://openalex.org/W2520774990","https://openalex.org/W2556013418","https://openalex.org/W2767234670","https://openalex.org/W2795155917","https://openalex.org/W2798149494","https://openalex.org/W2803884688","https://openalex.org/W2805662770","https://openalex.org/W2891763019","https://openalex.org/W2899279252","https://openalex.org/W2900810724","https://openalex.org/W2904218127","https://openalex.org/W2907541186","https://openalex.org/W2912073957","https://openalex.org/W2939535241","https://openalex.org/W2946724317","https://openalex.org/W2949117887","https://openalex.org/W2956467153","https://openalex.org/W2957643644","https://openalex.org/W2963826681","https://openalex.org/W2964117661","https://openalex.org/W2966507006","https://openalex.org/W2996977991","https://openalex.org/W3009370740","https://openalex.org/W3011187591","https://openalex.org/W3021496598","https://openalex.org/W3031466690","https://openalex.org/W3046749048","https://openalex.org/W4320013936","https://openalex.org/W6633949838","https://openalex.org/W6637618735","https://openalex.org/W6638667902","https://openalex.org/W6639480849","https://openalex.org/W6750109254","https://openalex.org/W6771832018"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W2965546495","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W1487808658","https://openalex.org/W3101081936"],"abstract_inverted_index":{"Deep-learning-based":[0],"methods":[1,31],"have":[2],"been":[3],"widely":[4],"applied":[5],"to":[6,32,52,95,131,155],"fault":[7,35],"diagnosis":[8,89],"for":[9,41],"its":[10,102],"capability":[11],"of":[12,29,47,63,72,80,174],"automatically":[13],"extracting":[14],"features":[15,157],"from":[16,69],"massive":[17],"data.":[18],"However,":[19],"there":[20],"are":[21,91],"still":[22],"two":[23],"problems":[24],"that":[25],"limit":[26],"the":[27,33,43,48,55,61,64,70,73,78,81,85,123,128,132,135,139,149,170,175],"application":[28],"these":[30,107],"locomotive":[34,59,97],"diagnosis,":[36],"which":[37,76],"has":[38],"practical":[39],"significance":[40],"ensuring":[42],"safety":[44],"and":[45,141,172],"reliability":[46],"locomotive.":[49],"First,":[50],"due":[51],"variation":[53],"in":[54,58,101,118,127],"operating":[56],"condition":[57],"operation,":[60],"distribution":[62,71,136],"training":[65],"data":[66,167],"is":[67,116,144,153],"different":[68,166],"test":[74],"data,":[75],"degrades":[77],"performance":[79],"deep-learning-based":[82],"methods.":[83],"Second,":[84],"existing":[86],"domain-adaptation":[87],"(DA)-based":[88],"models":[90],"not":[92],"robust":[93],"enough":[94],"diagnose":[96],"with":[98,112],"many":[99],"disturbances":[100],"vibration":[103],"signals.":[104],"To":[105],"tackle":[106],"problems,":[108],"conditional":[109],"adversarial":[110],"DA":[111],"discrimination":[113],"embedding":[114],"(CADA-DE)":[115],"proposed":[117,176],"this":[119],"article.":[120],"By":[121],"adding":[122],"discriminative":[124,151],"information":[125],"conveyed":[126],"label":[129],"predictions":[130],"domain":[133],"classifier,":[134],"discrepancy":[137],"between":[138],"source":[140],"target":[142],"domains":[143],"alleviated":[145],"more":[146,158],"sufficiently.":[147],"Meanwhile,":[148],"center-based":[150],"loss":[152],"introduced":[154],"enforce":[156],"discriminative.":[159],"The":[160],"experimental":[161],"results":[162],"conducted":[163],"on":[164],"three":[165],"sets":[168],"demonstrate":[169],"effectiveness":[171],"superiority":[173],"CADA-DE.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":17},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":31},{"year":2021,"cited_by_count":14},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
