{"id":"https://openalex.org/W3171580342","doi":"https://doi.org/10.1109/tie.2021.3086707","title":"A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery","display_name":"A Multisource Dense Adaptation Adversarial Network for Fault Diagnosis of Machinery","publication_year":2021,"publication_date":"2021-06-10","ids":{"openalex":"https://openalex.org/W3171580342","doi":"https://doi.org/10.1109/tie.2021.3086707","mag":"3171580342"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2021.3086707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2021.3086707","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/A5101606115","display_name":"Ziling Huang","orcid":"https://orcid.org/0000-0002-7126-5490"},"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":"Ziling Huang","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shan xi, China"],"raw_orcid":"https://orcid.org/0000-0002-7126-5490","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shan xi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038915119","display_name":"Zihao Lei","orcid":"https://orcid.org/0000-0001-7523-6235"},"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":"Zihao Lei","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shan xi, China"],"raw_orcid":"https://orcid.org/0000-0001-7523-6235","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shan xi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032844333","display_name":"Guangrui Wen","orcid":"https://orcid.org/0000-0002-2133-9594"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"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":"Guangrui Wen","raw_affiliation_strings":["Key Laboratory of Education Ministry for Modern Design & Rotor-Bearing System, Xi'an, Shaanxi, China","School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shan xi, China"],"raw_orcid":"https://orcid.org/0000-0002-2133-9594","affiliations":[{"raw_affiliation_string":"Key Laboratory of Education Ministry for Modern Design & Rotor-Bearing System, Xi'an, Shaanxi, China","institution_ids":["https://openalex.org/I1327237609"]},{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shan xi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005526322","display_name":"Xin Huang","orcid":"https://orcid.org/0000-0002-2313-8104"},"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":"Xin Huang","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shan xi, China"],"raw_orcid":"https://orcid.org/0000-0002-2313-8104","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shan xi, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064743925","display_name":"Haoxuan Zhou","orcid":"https://orcid.org/0000-0002-8294-3912"},"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":"Haoxuan Zhou","raw_affiliation_strings":["School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shan xi, China"],"raw_orcid":"https://orcid.org/0000-0002-8294-3912","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shan xi, 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'an Jiaotong University, Xi'an, Shan xi, China"],"raw_orcid":"https://orcid.org/0000-0002-1250-4084","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shan xi, 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'an Jiaotong University, Xi'an, Shan xi, China"],"raw_orcid":"https://orcid.org/0000-0002-0130-3172","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, Shan xi, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101606115"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":11.1021,"has_fulltext":false,"cited_by_count":108,"citation_normalized_percentile":{"value":0.98990721,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"69","issue":"6","first_page":"6298","last_page":"6307"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9970999956130981,"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":0.9970999956130981,"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":0.9667999744415283,"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":0.9592999815940857,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.7820658683776855},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6741368174552917},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6668665409088135},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6169155240058899},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5455691814422607},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.48535099625587463},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47176411747932434},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46157845854759216},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4599548578262329},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45248064398765564},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4441903829574585},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.434124618768692},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.431915283203125},{"id":"https://openalex.org/keywords/information-fusion","display_name":"Information fusion","score":0.4242556691169739},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3879169821739197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3752864897251129},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0710994303226471}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.7820658683776855},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6741368174552917},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6668665409088135},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6169155240058899},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5455691814422607},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.48535099625587463},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47176411747932434},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46157845854759216},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4599548578262329},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45248064398765564},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4441903829574585},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.434124618768692},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.431915283203125},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.4242556691169739},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3879169821739197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3752864897251129},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0710994303226471},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2021.3086707","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2021.3086707","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G544333107","display_name":null,"funder_award_id":"51775409","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5861328038","display_name":null,"funder_award_id":"2020YFB1710002","funder_id":"https://openalex.org/F4320336026","funder_display_name":"National Key Research and Development Program of China Stem Cell and Translational Research"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320336026","display_name":"National Key Research and Development Program of China Stem Cell and Translational Research","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1882958252","https://openalex.org/W2060300932","https://openalex.org/W2060987048","https://openalex.org/W2165698076","https://openalex.org/W2509330770","https://openalex.org/W2584994008","https://openalex.org/W2589171657","https://openalex.org/W2593768305","https://openalex.org/W2754813553","https://openalex.org/W2786347331","https://openalex.org/W2798149494","https://openalex.org/W2898375427","https://openalex.org/W2907541186","https://openalex.org/W2920582597","https://openalex.org/W2943099062","https://openalex.org/W2946048316","https://openalex.org/W2946208493","https://openalex.org/W2962850830","https://openalex.org/W2963168418","https://openalex.org/W2963446712","https://openalex.org/W2964288524","https://openalex.org/W2965601192","https://openalex.org/W2973093569","https://openalex.org/W2983355092","https://openalex.org/W2988299412","https://openalex.org/W3006456063","https://openalex.org/W3007050866","https://openalex.org/W3007806969","https://openalex.org/W3010088906","https://openalex.org/W3022769603","https://openalex.org/W3025171967","https://openalex.org/W3030489213","https://openalex.org/W3083796308","https://openalex.org/W3109343305","https://openalex.org/W6633949838","https://openalex.org/W6639480849","https://openalex.org/W6696085341","https://openalex.org/W6750109254"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W4383066092","https://openalex.org/W3048601286","https://openalex.org/W2965925734","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Deep":[0],"learning":[1],"theory":[2],"has":[3,20,183],"made":[4],"great":[5,185],"progress":[6],"in":[7,74],"the":[8,15,37,45,55,66,80,102,119,142,149,153,156,175],"field":[9],"of":[10,17,39,68,105,115,144,152],"intelligent":[11,189],"fault":[12,23,40,47,116,190],"diagnosis,":[13],"and":[14,97,122,132,155],"development":[16],"domain":[18,52],"adaptation":[19,53,87],"greatly":[21],"promoted":[22],"diagnosis":[24,41,48,191],"under":[25,42,141],"polytropic":[26],"working":[27,165,170],"conditions":[28],"(PWC).":[29],"Extensive":[30],"studies":[31],"have":[32,54],"been":[33],"conducted":[34],"to":[35,111],"solve":[36],"problem":[38],"PWC.":[43],"However,":[44],"existing":[46],"methods":[49],"based":[50],"on":[51],"following":[56],"shortcomings.":[57],"First,":[58],"multisource":[59,85],"information":[60,96,158],"fusion":[61,123],"is":[62,71,90,108,139],"rarely":[63],"considered.":[64],"Second,":[65],"utilization":[67],"inherent":[69],"labels":[70],"also":[72],"insufficient":[73],"classification":[75,98],"problems.":[76],"To":[77],"deal":[78],"with":[79],"above":[81],"problem,":[82],"a":[83,135],"novel":[84],"dense":[86,120],"adversarial":[88],"network":[89],"proposed,":[91],"which":[92,147,182],"leverages":[93],"multisensor":[94,106],"vibration":[95],"label":[99,157],"information.":[100,117],"Specifically,":[101],"frequency":[103],"spectrum":[104],"data":[107],"first":[109],"employed":[110],"make":[112],"full":[113],"use":[114],"Afterwards,":[118],"convolution":[121,124],"blocks":[125],"are":[126],"used":[127],"for":[128],"deep":[129],"feature":[130],"extraction":[131],"fusion.":[133],"Finally,":[134],"joint":[136],"loss":[137],"function":[138],"reconstructed":[140],"framework":[143],"unsupervised":[145],"learning,":[146],"considers":[148],"distribution":[150],"differences":[151],"features":[154],"simultaneously.":[159],"The":[160],"experimental":[161],"results":[162],"from":[163],"various":[164],"conditions,":[166,171],"including":[167],"still":[168],"distant":[169],"all":[172],"demonstrate":[173],"that":[174],"proposed":[176],"method":[177],"can":[178],"achieve":[179],"state-of-the-art":[180],"performances,":[181],"shown":[184],"promise":[186],"as":[187],"an":[188],"method.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":29},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":14},{"year":2021,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-28T09:10:13.091523","created_date":"2025-10-10T00:00:00"}
