{"id":"https://openalex.org/W4396680470","doi":"https://doi.org/10.1109/tim.2024.3396831","title":"Dual Structural Consistent Partial Domain Adaptation Network for Intelligent Machinery Fault Diagnosis","display_name":"Dual Structural Consistent Partial Domain Adaptation Network for Intelligent Machinery Fault Diagnosis","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396680470","doi":"https://doi.org/10.1109/tim.2024.3396831"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3396831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3396831","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/A5017591415","display_name":"Kun Yu","orcid":"https://orcid.org/0000-0001-7587-8027"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kun Yu","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, China","National Engineering Laboratory for Industrial Big-data Application Technology, Chongqing Innovation Center of Industrial Big-Data Co., Ltd, Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0001-7587-8027","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, China","institution_ids":["https://openalex.org/I25757504"]},{"raw_affiliation_string":"National Engineering Laboratory for Industrial Big-data Application Technology, Chongqing Innovation Center of Industrial Big-Data Co., Ltd, Chongqing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108064895","display_name":"Xuesong Wang","orcid":"https://orcid.org/0000-0002-5327-1088"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuesong Wang","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-5327-1088","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091364297","display_name":"Yuhu Cheng","orcid":"https://orcid.org/0000-0003-2022-9999"},"institutions":[{"id":"https://openalex.org/I25757504","display_name":"China University of Mining and Technology","ror":"https://ror.org/01xt2dr21","country_code":"CN","type":"education","lineage":["https://openalex.org/I25757504"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhu Cheng","raw_affiliation_strings":["School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0003-2022-9999","affiliations":[{"raw_affiliation_string":"School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, Jiangsu, China","institution_ids":["https://openalex.org/I25757504"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079329106","display_name":"Ke Feng","orcid":"https://orcid.org/0000-0003-2338-5161"},"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":"Ke Feng","raw_affiliation_strings":["School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, Shanxi, China"],"raw_orcid":"https://orcid.org/0000-0003-2338-5161","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi’an Jiaotong University, Xi’an, Shanxi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100736675","display_name":"Yongchao Zhang","orcid":"https://orcid.org/0000-0001-5892-3391"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongchao Zhang","raw_affiliation_strings":["School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0001-5892-3391","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering and Automation, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5091857518","display_name":"B.Y. Xing","orcid":"https://orcid.org/0000-0002-4296-986X"},"institutions":[{"id":"https://openalex.org/I4210096250","display_name":"Beijing Institute of Big Data Research","ror":"https://ror.org/00s1sz824","country_code":"CN","type":"facility","lineage":["https://openalex.org/I20231570","https://openalex.org/I37796252","https://openalex.org/I4210096250"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Xing","raw_affiliation_strings":["National Engineering Laboratory for Industrial Big-Data Application Technology, Chongqing Innovation Center of Industrial Big-Data Company Ltd., Chongqing, China"],"raw_orcid":"https://orcid.org/0000-0002-4296-986X","affiliations":[{"raw_affiliation_string":"National Engineering Laboratory for Industrial Big-Data Application Technology, Chongqing Innovation Center of Industrial Big-Data Company Ltd., Chongqing, China","institution_ids":["https://openalex.org/I4210096250"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5017591415"],"corresponding_institution_ids":["https://openalex.org/I25757504"],"apc_list":null,"apc_paid":null,"fwci":1.5776,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.82284543,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9678999781608582,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9639999866485596,"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":0.6678954362869263},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6490437388420105},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5714254379272461},{"id":"https://openalex.org/keywords/data-consistency","display_name":"Data consistency","score":0.5240830779075623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5183807015419006},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.46295127272605896},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4370349645614624},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.4247477352619171},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4229624271392822},{"id":"https://openalex.org/keywords/conditional-probability-distribution","display_name":"Conditional probability distribution","score":0.4215690493583679},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4161027669906616},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3613508939743042},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.2830403447151184},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.21808123588562012},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10430854558944702}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6678954362869263},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6490437388420105},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5714254379272461},{"id":"https://openalex.org/C93361087","wikidata":"https://www.wikidata.org/wiki/Q4426698","display_name":"Data consistency","level":2,"score":0.5240830779075623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5183807015419006},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.46295127272605896},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4370349645614624},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.4247477352619171},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4229624271392822},{"id":"https://openalex.org/C43555835","wikidata":"https://www.wikidata.org/wiki/Q2300258","display_name":"Conditional probability distribution","level":2,"score":0.4215690493583679},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4161027669906616},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3613508939743042},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.2830403447151184},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.21808123588562012},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10430854558944702},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3396831","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3396831","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":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6299999952316284}],"awards":[{"id":"https://openalex.org/G1240730947","display_name":null,"funder_award_id":"62206298","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4318604991","display_name":null,"funder_award_id":"2022NSCQ-BHX3987","funder_id":"https://openalex.org/F4320313612","funder_display_name":"Chongqing Postdoctoral Science Foundation"},{"id":"https://openalex.org/G4756161396","display_name":null,"funder_award_id":"62176259","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4823360002","display_name":null,"funder_award_id":"62373364","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6601220051","display_name":null,"funder_award_id":"2022M710542","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6899773800","display_name":null,"funder_award_id":"BK20221111","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320313612","display_name":"Chongqing Postdoctoral Science Foundation","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1498436455","https://openalex.org/W1522301498","https://openalex.org/W1821462560","https://openalex.org/W2133564696","https://openalex.org/W2187089797","https://openalex.org/W2885722640","https://openalex.org/W2887782657","https://openalex.org/W2907541186","https://openalex.org/W2990403609","https://openalex.org/W2998115938","https://openalex.org/W2998506103","https://openalex.org/W3025888249","https://openalex.org/W3033335985","https://openalex.org/W3036403470","https://openalex.org/W3037611653","https://openalex.org/W3040865353","https://openalex.org/W3041173183","https://openalex.org/W3094502228","https://openalex.org/W3123146821","https://openalex.org/W3150891248","https://openalex.org/W3157123770","https://openalex.org/W3201057920","https://openalex.org/W3201753566","https://openalex.org/W3209651137","https://openalex.org/W4220998886","https://openalex.org/W4224277702","https://openalex.org/W4226432849","https://openalex.org/W4280621837","https://openalex.org/W4306955484","https://openalex.org/W4315778521","https://openalex.org/W4315866203","https://openalex.org/W4317620313","https://openalex.org/W4322102361","https://openalex.org/W4366310723","https://openalex.org/W4385245566","https://openalex.org/W4387419436","https://openalex.org/W6631190155","https://openalex.org/W6679434410","https://openalex.org/W6682137061"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W4312246223","https://openalex.org/W4385573474"],"abstract_inverted_index":{"In":[0],"industrial":[1],"scenarios,":[2],"the":[3,24,75,86,110,135,150,167],"source":[4],"domain":[5,26,49,210],"(SD)":[6],"data":[7,13,28,33,63,84,148],"typically":[8],"encompasses":[9],"condition":[10],"monitoring":[11],"(CM)":[12],"from":[14,34,122],"all":[15],"machines":[16],"within":[17,64,85,149],"a":[18,37,53,101,155,202],"workshop":[19],"or":[20,36,77],"factory":[21],"setting,":[22],"while":[23],"target":[25],"(TD)":[27],"may":[29],"only":[30,72],"include":[31],"CM":[32],"one":[35],"small":[38],"number":[39],"of":[40,119,181,193],"machines.":[41],"The":[42,179],"intelligent":[43],"diagnostic":[44],"method":[45,184],"based":[46,158],"on":[47,190],"partial":[48,65,136],"adaptation":[50],"(PDA)":[51],"represents":[52],"powerful":[54],"tool":[55],"for":[56,162,176,215],"aligning":[57],"features":[58,121],"between":[59,80,144],"SD":[60,81,124,145],"and":[61,82,125,146],"TD":[62,83,126,147,177],"categories.":[66],"However,":[67],"existing":[68],"PDA":[69,105,221],"techniques":[70],"can":[71],"align":[73],"either":[74],"marginal":[76,141],"conditional":[78,163],"distributions":[79],"shared":[87,151],"label":[88,152],"space,":[89],"but":[90,212],"not":[91,207],"both":[92,123],"simultaneously.":[93],"To":[94],"overcome":[95],"this":[96],"limitation,":[97],"our":[98,182],"study":[99],"introduces":[100],"dual":[102],"structural":[103,169],"consistent":[104,170],"network.":[106],"This":[107],"network":[108],"leverages":[109],"vision":[111],"transformer":[112],"as":[113],"its":[114,188,198],"foundation,":[115],"ensuring":[116,172],"effective":[117],"extraction":[118],"distinguishable":[120],"data.":[127,178],"A":[128],"weight":[129],"balance":[130],"mechanism":[131],"is":[132,160,185,206,213],"integrated":[133],"into":[134],"adversarial":[137],"training":[138],"process,":[139],"facilitating":[140],"distribution":[142,164,204],"alignment":[143,165],"space.":[153],"Additionally,":[154],"knowledge":[156],"distillation":[157],"approach":[159],"employed":[161],"across":[166],"two":[168,191],"networks,":[171],"consistency":[173],"in":[174],"predictions":[175],"effectiveness":[180],"proposed":[183],"demonstrated":[186],"through":[187],"application":[189],"sets":[192],"experimental":[194],"faulty":[195],"data,":[196],"confirming":[197],"ability":[199],"to":[200],"provide":[201],"feature":[203],"that":[205],"affected":[208],"by":[209],"changes":[211],"discriminative":[214],"different":[216],"classes":[217],"when":[218],"dealing":[219],"with":[220],"tasks.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":5}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}