{"id":"https://openalex.org/W4410852788","doi":"https://doi.org/10.1109/tnnls.2025.3569582","title":"Knowledge Transfer and Reinforcement Based on Biunbiased Neural Network: A Novel Solution for Open-Set Fault Transfer Diagnosis","display_name":"Knowledge Transfer and Reinforcement Based on Biunbiased Neural Network: A Novel Solution for Open-Set Fault Transfer Diagnosis","publication_year":2025,"publication_date":"2025-05-29","ids":{"openalex":"https://openalex.org/W4410852788","doi":"https://doi.org/10.1109/tnnls.2025.3569582","pmid":"https://pubmed.ncbi.nlm.nih.gov/40440138"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2025.3569582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3569582","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","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/A5037757404","display_name":"Lei Wang","orcid":"https://orcid.org/0000-0001-9809-3791"},"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":true,"raw_author_name":"Lei Wang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100625792","display_name":"Huaguang Zhang","orcid":"https://orcid.org/0000-0002-2375-9824"},"institutions":[{"id":"https://openalex.org/I4391767858","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":"https://ror.org/0380ng272","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]},{"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":"Huaguang Zhang","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756","https://openalex.org/I4391767858"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729536","display_name":"Jinhai Liu","orcid":"https://orcid.org/0000-0002-1256-1337"},"institutions":[{"id":"https://openalex.org/I4391767858","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":"https://ror.org/0380ng272","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]},{"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":"Jinhai Liu","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Process Industries and the College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756","https://openalex.org/I4391767858"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078286347","display_name":"Fengyuan Zuo","orcid":"https://orcid.org/0000-0001-9642-5705"},"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":"Fengyuan Zuo","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037757404"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":null,"apc_paid":null,"fwci":8.914,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.98064718,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"36","issue":"9","first_page":"15794","last_page":"15806"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9848999977111816,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9848999977111816,"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/T10320","display_name":"Neural Networks and Applications","score":0.960099995136261,"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/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9383999705314636,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/computer-science","display_name":"Computer science","score":0.6301324963569641},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6113277673721313},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.590835690498352},{"id":"https://openalex.org/keywords/transfer","display_name":"Transfer (computing)","score":0.5887898206710815},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5422376990318298},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5014705657958984},{"id":"https://openalex.org/keywords/reinforcement","display_name":"Reinforcement","score":0.49639564752578735},{"id":"https://openalex.org/keywords/knowledge-transfer","display_name":"Knowledge transfer","score":0.4356904923915863},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4353805184364319},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34116053581237793},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19036072492599487},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.12396010756492615},{"id":"https://openalex.org/keywords/structural-engineering","display_name":"Structural engineering","score":0.09217271208763123},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08266797661781311},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.07940688729286194},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.04821053147315979},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.04682523012161255}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6301324963569641},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6113277673721313},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.590835690498352},{"id":"https://openalex.org/C2776175482","wikidata":"https://www.wikidata.org/wiki/Q1195816","display_name":"Transfer (computing)","level":2,"score":0.5887898206710815},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5422376990318298},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5014705657958984},{"id":"https://openalex.org/C67203356","wikidata":"https://www.wikidata.org/wiki/Q1321905","display_name":"Reinforcement","level":2,"score":0.49639564752578735},{"id":"https://openalex.org/C2776960227","wikidata":"https://www.wikidata.org/wiki/Q2586354","display_name":"Knowledge transfer","level":2,"score":0.4356904923915863},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4353805184364319},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34116053581237793},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19036072492599487},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.12396010756492615},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.09217271208763123},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08266797661781311},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.07940688729286194},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.04821053147315979},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.04682523012161255}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2025.3569582","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2025.3569582","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"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 Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:40440138","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40440138","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 neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7696085015","display_name":null,"funder_award_id":"GZB20240128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W1722318740","https://openalex.org/W2593768305","https://openalex.org/W2786808285","https://openalex.org/W2798593490","https://openalex.org/W2903917280","https://openalex.org/W2948429981","https://openalex.org/W2973077827","https://openalex.org/W2991521245","https://openalex.org/W2998666297","https://openalex.org/W3122985179","https://openalex.org/W3134162419","https://openalex.org/W3137410503","https://openalex.org/W3164351180","https://openalex.org/W3175506488","https://openalex.org/W3196536640","https://openalex.org/W3201611548","https://openalex.org/W3212230523","https://openalex.org/W4200312990","https://openalex.org/W4205137583","https://openalex.org/W4206057957","https://openalex.org/W4206471589","https://openalex.org/W4210685411","https://openalex.org/W4213449445","https://openalex.org/W4220914098","https://openalex.org/W4226083607","https://openalex.org/W4282915135","https://openalex.org/W4282940188","https://openalex.org/W4309164266","https://openalex.org/W4312429067","https://openalex.org/W4312462776","https://openalex.org/W4312871129","https://openalex.org/W4312894838","https://openalex.org/W4313057894","https://openalex.org/W4313639565","https://openalex.org/W4321457209","https://openalex.org/W4322707213","https://openalex.org/W4362683595","https://openalex.org/W4384080166","https://openalex.org/W4385338763","https://openalex.org/W4385656704","https://openalex.org/W4386071494","https://openalex.org/W4387885800","https://openalex.org/W4388145716","https://openalex.org/W4388407747","https://openalex.org/W4391791421","https://openalex.org/W4393034022","https://openalex.org/W4396817500","https://openalex.org/W4405632072"],"related_works":["https://openalex.org/W4310083477","https://openalex.org/W2328553770","https://openalex.org/W2920061524","https://openalex.org/W1977959518","https://openalex.org/W2038908348","https://openalex.org/W2107890255","https://openalex.org/W2106552856","https://openalex.org/W2145821588","https://openalex.org/W2086122291","https://openalex.org/W1987513656"],"abstract_inverted_index":{"Fault":[0],"transfer":[1,78,85,114,129,228],"diagnosis":[2,79],"is":[3,20,54,57,123,131,178],"a":[4,43,62,126,156,173,211],"key":[5],"technology":[6],"to":[7,21,59,91,148,168,180,199,235],"ensure":[8],"the":[9,16,23,27,47,75,84,142,166,182,189,201,237,251,254],"reliability":[10],"and":[11,102,115,155,206,229],"safety":[12],"of":[13,18,26,38,144,152,184,239,253],"industrial":[14,64],"systems,":[15],"core":[17],"which":[19,56,94],"identify":[22],"health":[24],"status":[25],"equipment":[28],"among":[29,50],"different":[30,51],"working":[31,52],"conditions":[32,53],"with":[33],"multiclassification":[34],"methods.":[35],"However,":[36],"most":[37],"them":[39],"are":[40,197,208],"based":[41,117],"on":[42,99,118,246],"closed-set":[44],"assumption":[45],"that":[46,140,162,217],"label":[48],"space":[49],"consistent,":[55],"hard":[58],"satisfy":[60],"in":[61],"practical":[63],"environment":[65],"as":[66,112,165],"unknown":[67,158,170],"faults":[68,154],"would":[69],"inevitably":[70],"occur":[71],"during":[72,83],"operation,":[73],"i.e.,":[74],"open-set":[76],"fault":[77,136,159,185,193,204,213,220],"(OSFTD)":[80],"problem.":[81],"Moreover,":[82],"process,":[86],"unnecessary":[87],"source-specific":[88],"knowledge":[89,113,128,175,194,227,230],"tends":[90],"be":[92,223],"adapted,":[93],"brings":[95],"about":[96],"biased":[97],"diagnostics":[98],"both":[100],"domain":[101],"category.":[103],"Aiming":[104],"at":[105,188],"this":[106],"issue,":[107],"an":[108,134],"OSFTD":[109],"framework,":[110],"coined":[111],"reinforcement":[116,176,231],"biunbiased":[119],"neural":[120],"network":[121],"(KTR-BUNN),":[122],"proposed.":[124],"First,":[125],"domain-unbiased":[127],"subnet":[130,177],"proposed,":[132],"including":[133],"uncertainty-aware":[135],"transferability":[137,143,164],"evaluator":[138],"(FTE)":[139],"estimates":[141],"target-domain":[145],"samples":[146],"unbiasedly":[147],"guide":[149],"distribution":[150],"alignment":[151],"known":[153],"triple-tier":[157],"separator":[160],"(UFS)":[161],"takes":[163],"criterion":[167],"extrapolate":[169],"faults.":[171],"Second,":[172],"class-unbiased":[174],"designed":[179],"promote":[181],"recognition":[183],"semantic":[186],"features":[187,221],"embedding":[190],"space,":[191],"where":[192],"graphs":[195],"(FKGs)":[196],"constructed":[198],"describe":[200],"relationships":[202],"between":[203],"types,":[205],"they":[207],"optimized":[209],"by":[210],"contrastive":[212],"correlation":[214],"loss,":[215],"so":[216],"fine-grained":[218],"class-level":[219],"can":[222],"further":[224],"aligned.":[225],"The":[226],"mechanisms":[232],"work":[233],"jointly":[234],"facilitate":[236],"performance":[238],"OSFTD.":[240],"Finally,":[241],"extensive":[242],"experimental":[243],"results":[244],"conducted":[245],"diverse":[247],"diagnostic":[248],"tasks":[249],"illustrate":[250],"superiority":[252],"proposed":[255],"KTR-BUNN.":[256]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
