{"id":"https://openalex.org/W4389252378","doi":"https://doi.org/10.1109/tim.2023.3338678","title":"PSNN-TADA: Prototype and Stochastic Neural Network-Based Twice Adversarial Domain Adaptation for Fault Diagnosis Under Varying Working Conditions","display_name":"PSNN-TADA: Prototype and Stochastic Neural Network-Based Twice Adversarial Domain Adaptation for Fault Diagnosis Under Varying Working Conditions","publication_year":2023,"publication_date":"2023-12-01","ids":{"openalex":"https://openalex.org/W4389252378","doi":"https://doi.org/10.1109/tim.2023.3338678"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3338678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3338678","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/A5044425176","display_name":"Xilin Yang","orcid":"https://orcid.org/0009-0002-9717-4631"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xilin Yang","raw_affiliation_strings":["School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China"],"raw_orcid":"https://orcid.org/0009-0002-9717-4631","affiliations":[{"raw_affiliation_string":"School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035287663","display_name":"Xianfeng Yuan","orcid":"https://orcid.org/0000-0002-6217-6429"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianfeng Yuan","raw_affiliation_strings":["School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China"],"raw_orcid":"https://orcid.org/0000-0002-6217-6429","affiliations":[{"raw_affiliation_string":"School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025193505","display_name":"Tianyi Ye","orcid":"https://orcid.org/0009-0004-4097-2864"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tianyi Ye","raw_affiliation_strings":["School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China"],"raw_orcid":"https://orcid.org/0009-0004-4097-2864","affiliations":[{"raw_affiliation_string":"School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022105543","display_name":"Weijie Zhu","orcid":"https://orcid.org/0009-0004-8653-9636"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weijie Zhu","raw_affiliation_strings":["School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China"],"raw_orcid":"https://orcid.org/0009-0004-8653-9636","affiliations":[{"raw_affiliation_string":"School of Mechanical, Electrical and Information Engineering, Shandong University, Weihai, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085317250","display_name":"Fengyu Zhou","orcid":"https://orcid.org/0000-0001-5140-7036"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyu Zhou","raw_affiliation_strings":["School of Control Science and Engineering, Shandong University, Jinan, China"],"raw_orcid":"https://orcid.org/0000-0001-5140-7036","affiliations":[{"raw_affiliation_string":"School of Control Science and Engineering, Shandong University, Jinan, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080328538","display_name":"Jiong Jin","orcid":"https://orcid.org/0000-0002-0306-2691"},"institutions":[{"id":"https://openalex.org/I57093077","display_name":"Swinburne University of Technology","ror":"https://ror.org/031rekg67","country_code":"AU","type":"education","lineage":["https://openalex.org/I57093077"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jiong Jin","raw_affiliation_strings":["School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia"],"raw_orcid":"https://orcid.org/0000-0002-0306-2691","affiliations":[{"raw_affiliation_string":"School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC, Australia","institution_ids":["https://openalex.org/I57093077"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6171,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.90092435,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"73","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":0.977400004863739,"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":0.977400004863739,"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":0.9121000170707703,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.7961483001708984},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.7055789828300476},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6730344891548157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.576725423336029},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5524100065231323},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.49999284744262695},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47721391916275024},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.45777082443237305},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39328649640083313},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.38175129890441895}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.7961483001708984},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.7055789828300476},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6730344891548157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.576725423336029},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5524100065231323},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.49999284744262695},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47721391916275024},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.45777082443237305},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39328649640083313},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.38175129890441895},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3338678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3338678","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":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.699999988079071}],"awards":[{"id":"https://openalex.org/G1698707434","display_name":"\u8f6e\u5f0f\u4e91\u670d\u52a1\u673a\u5668\u4eba\u5065\u5eb7\u72b6\u6001\u81ea\u4e3b\u8ba4\u77e5\u6a21\u578b\u53ca\u5176\u8fdb\u5316\u673a\u5236\u7814\u7a76","funder_award_id":"61803227","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391265824","display_name":null,"funder_award_id":"ZR2023MF005","funder_id":"https://openalex.org/F4320324174","funder_display_name":"Natural Science Foundation of Shandong Province"},{"id":"https://openalex.org/G3996356350","display_name":null,"funder_award_id":"20820211010","funder_id":"https://openalex.org/F4320311026","funder_display_name":"Shandong University"},{"id":"https://openalex.org/G8399268607","display_name":null,"funder_award_id":"61973184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320311026","display_name":"Shandong University","ror":"https://ror.org/0207yh398"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320324174","display_name":"Natural Science Foundation of Shandong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W2143668817","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2933532955","https://openalex.org/W2962687275","https://openalex.org/W2964288524","https://openalex.org/W2968584961","https://openalex.org/W2977117446","https://openalex.org/W2989818023","https://openalex.org/W2993397516","https://openalex.org/W3030489213","https://openalex.org/W3034245263","https://openalex.org/W3035256099","https://openalex.org/W3095042947","https://openalex.org/W3123146821","https://openalex.org/W3142041738","https://openalex.org/W3152682522","https://openalex.org/W3155371252","https://openalex.org/W3177316921","https://openalex.org/W3201753566","https://openalex.org/W3212119484","https://openalex.org/W4220760533","https://openalex.org/W4225517134","https://openalex.org/W4226067624","https://openalex.org/W4226423887","https://openalex.org/W4285245107","https://openalex.org/W4288032326","https://openalex.org/W4307567853","https://openalex.org/W4321488115","https://openalex.org/W4360596056","https://openalex.org/W4379206867","https://openalex.org/W4380272634","https://openalex.org/W4383695080","https://openalex.org/W4387835225","https://openalex.org/W6637618735","https://openalex.org/W6750109254"],"related_works":["https://openalex.org/W2596763562","https://openalex.org/W2964218010","https://openalex.org/W3129041610","https://openalex.org/W3080655457","https://openalex.org/W2145868540","https://openalex.org/W2372829958","https://openalex.org/W3166286441","https://openalex.org/W3214142563","https://openalex.org/W3136267388","https://openalex.org/W4287263085"],"abstract_inverted_index":{"The":[0,183],"varying":[1,126],"working":[2,127],"conditions":[3],"of":[4,74,176],"rolling":[5],"bearings":[6],"lead":[7],"to":[8,16,31,66,120,149],"data":[9,68],"distribution":[10,42,69],"shifts,":[11],"which":[12,171],"presents":[13],"an":[14,161,191],"obstacle":[15],"intelligent":[17,49],"fault":[18,51,78,98,123,181,197],"diagnosis.":[19,99],"To":[20,100],"alleviate":[21],"the":[22,33,36,44,72,102,165,168,174,177,213],"performance":[23,95,210],"degradation,":[24],"unsupervised":[25],"domain":[26,64,91,152],"adaptation":[27,209],"(DA)":[28],"is":[29,118,186],"used":[30],"address":[32],"issue":[34],"where":[35],"test":[37],"set":[38],"has":[39,80,132,142],"a":[40,59,63,104,143,195],"different":[41,138],"from":[43,160],"training":[45,135],"set.":[46],"Most":[47],"existing":[48],"transfer":[50],"diagnosis":[52,106,198],"methods":[53],"align":[54],"features":[55,124],"by":[56],"using":[57,146],"either":[58],"fixed":[60],"metric":[61],"or":[62],"discriminator":[65,145],"tackle":[67],"divergence.":[70],"However,":[71],"alignment":[73],"decision":[75,158],"boundaries":[76,159],"in":[77,97],"classifiers":[79],"not":[81],"been":[82],"thoroughly":[83],"studied,":[84],"causing":[85],"ambiguous":[86],"predictions":[87],"on":[88,179,189],"unlabeled":[89],"target":[90,180],"samples":[92],"and":[93,110,167,194,200],"catastrophic":[94],"degradation":[96],"overcome":[101],"deficiencies,":[103],"novel":[105],"framework":[107],"named":[108],"prototype":[109],"stochastic":[111,169],"neural":[112],"network-based":[113],"twice":[114],"adversarial":[115,134,162],"DA":[116],"(PSNN-TADA)":[117],"proposed":[119,184],"extract":[121],"domain-invariant":[122],"under":[125],"conditions.":[128],"In":[129],"particular,":[130],"PSNN-TADA":[131,141,155,206],"two":[133],"processes":[136],"at":[137],"levels.":[139],"First,":[140],"prototype-based":[144],"multimodal":[147],"information":[148],"achieve":[150],"conditional":[151],"alignment.":[153],"Second,":[154],"learns":[156],"reliable":[157],"process":[163],"between":[164],"extractor":[166],"classifier,":[170],"further":[172],"improves":[173],"accuracy":[175],"classifier":[178],"samples.":[182],"method":[185],"comprehensively":[187],"tested":[188],"both":[190],"open-access":[192],"dataset":[193],"practical":[196],"platform,":[199],"extensive":[201],"experimental":[202],"results":[203],"illustrate":[204],"that":[205],"achieves":[207],"superior":[208],"compared":[211],"with":[212],"state-of-the-art.":[214]},"counts_by_year":[{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
