{"id":"https://openalex.org/W7130310806","doi":"https://doi.org/10.1109/tcyb.2026.3662702","title":"DSMDTN: A Data-Selective Multiscale Dual Transfer Network for Fault Diagnosis of Key Components in Rotating Machinery","display_name":"DSMDTN: A Data-Selective Multiscale Dual Transfer Network for Fault Diagnosis of Key Components in Rotating Machinery","publication_year":2026,"publication_date":"2026-02-18","ids":{"openalex":"https://openalex.org/W7130310806","doi":"https://doi.org/10.1109/tcyb.2026.3662702","pmid":"https://pubmed.ncbi.nlm.nih.gov/41706780"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2026.3662702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2026.3662702","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5126359640","display_name":"Xianfeng Li","orcid":null},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianfeng Li","raw_affiliation_strings":["School of Mechanical and Power Engineering, Nanjing Tech University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0002-2510-4597","affiliations":[{"raw_affiliation_string":"School of Mechanical and Power Engineering, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126341652","display_name":"Jiantao Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiantao Shi","raw_affiliation_strings":["College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-4245-0221","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126303815","display_name":"Chuang Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuang Chen","raw_affiliation_strings":["College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2117-7860","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016243997","display_name":"Dongdong Yue","orcid":"https://orcid.org/0000-0001-9743-702X"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongdong Yue","raw_affiliation_strings":["College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0001-9743-702X","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Control Science, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5008644980","display_name":"Cunsong Wang","orcid":"https://orcid.org/0000-0003-0016-8578"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cunsong Wang","raw_affiliation_strings":["Institute of Intelligent Manufacturing, Nanjing Tech University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0016-8578","affiliations":[{"raw_affiliation_string":"Institute of Intelligent Manufacturing, Nanjing Tech University, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I134687103"],"apc_list":null,"apc_paid":null,"fwci":5.4002,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.93544191,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"56","issue":"7","first_page":"4040","last_page":"4053"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.986299991607666,"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":0.986299991607666,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.0017000000225380063,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.00139999995008111,"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/classifier","display_name":"Classifier (UML)","score":0.6301000118255615},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.5547000169754028},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4844000041484833},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.45649999380111694},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.45509999990463257},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4422999918460846},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.40459999442100525},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.40400001406669617},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.3815000057220459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7425000071525574},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6301000118255615},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.5547000169754028},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5238000154495239},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4844000041484833},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.45649999380111694},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.45509999990463257},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4422999918460846},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.40459999442100525},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.40400001406669617},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3930000066757202},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.3815000057220459},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.34220001101493835},{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.31520000100135803},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.3116999864578247},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.30489999055862427},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2946000099182129},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.29409998655319214},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29330000281333923},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.27250000834465027},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2718999981880188},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2662000060081482},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2637999951839447}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2026.3662702","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2026.3662702","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:41706780","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41706780","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G12040165","display_name":null,"funder_award_id":"62303217","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2288145610","display_name":null,"funder_award_id":"62373184","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G422653279","display_name":null,"funder_award_id":"62333010","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5331813728","display_name":null,"funder_award_id":"2242024k30037","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6392405971","display_name":null,"funder_award_id":"2025T180462","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G6440953351","display_name":null,"funder_award_id":"BK20240531","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G6531567111","display_name":null,"funder_award_id":"62203213","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7140478650","display_name":null,"funder_award_id":"2024M751977","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8312933629","display_name":null,"funder_award_id":"2025M771729","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"},{"id":"https://openalex.org/G8718091638","display_name":null,"funder_award_id":"2242024k30038","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"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"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Rotating":[0],"machinery":[1],"often":[2],"operates":[3],"under":[4,180],"varying":[5],"working":[6],"conditions,":[7],"which":[8],"poses":[9],"significant":[10],"challenges":[11],"to":[12,75,96,170],"achieving":[13],"reliable":[14],"bearing":[15],"fault":[16],"diagnosis":[17],"using":[18],"traditional":[19],"deep":[20],"learning-based":[21],"models.":[22],"To":[23],"enhance":[24],"the":[25,85,108,128,136,145],"diagnostic":[26],"performance":[27],"for":[28,81],"rolling":[29],"bearings":[30],"across":[31,175],"diverse":[32],"operational":[33],"conditions":[34],"and":[35,54,72,93,101,114,122,144,164,179],"noisy":[36],"environments,":[37],"a":[38,46,64,151],"data-selective":[39],"multiscale":[40,50,98],"dual":[41,55],"transfer":[42,167,177],"network":[43],"(DSMDTN)":[44],"with":[45],"data":[47],"selector":[48],"(DS),":[49],"concatenation":[51],"U-Net":[52],"(MCU-Net),":[53],"classifier":[56],"(DC)":[57],"is":[58,131],"proposed.":[59],"The":[60,125,155],"DS":[61],"module":[62,87,110],"employs":[63],"comprehensive":[65],"scoring":[66],"mechanism":[67],"that":[68,117,159],"integrates":[69],"math,":[70],"entropy,":[71],"anomaly":[73],"scores":[74],"selectively":[76],"identify":[77],"high-quality":[78],"source":[79,113],"samples":[80],"model":[82],"training.":[83],"Meanwhile,":[84],"MCU-Net":[86],"incorporates":[88],"gated":[89],"convolutional":[90,94],"(gated-conv)":[91],"blocks":[92,95],"extract":[97],"domain-invariant":[99],"features":[100],"dynamically":[102],"adjust":[103],"feature":[104],"importance.":[105],"In":[106],"addition,":[107],"DC":[109],"comprises":[111],"separate":[112],"target":[115],"classifiers":[116],"jointly":[118],"minimize":[119],"distribution":[120],"discrepancy":[121],"classification":[123],"loss.":[124],"effectiveness":[126],"of":[127],"proposed":[129],"DSMDTN":[130,160],"validated":[132],"through":[133],"experiments":[134],"on":[135],"public":[137],"Case":[138],"Western":[139],"Reserve":[140],"University":[141],"(CWRU)":[142],"dataset":[143,148],"proprietary":[146],"PT":[147],"collected":[149],"from":[150],"PT500mini":[152],"test":[153],"bed.":[154],"experimental":[156],"results":[157],"demonstrate":[158],"achieves":[161],"higher":[162],"accuracy":[163],"exhibits":[165],"stronger":[166],"capability":[168],"compared":[169],"several":[171],"state-of-the-art":[172],"intelligent":[173],"models":[174],"various":[176],"tasks":[178],"different":[181],"noise":[182],"levels.":[183]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-21T08:15:58.654021","created_date":"2026-02-19T00:00:00"}