{"id":"https://openalex.org/W4410950180","doi":"https://doi.org/10.1109/tim.2025.3571134","title":"Uncertainty Quantification Fault Diagnosis Method Based on Multisignal Domain Interpretable Neural Network","display_name":"Uncertainty Quantification Fault Diagnosis Method Based on Multisignal Domain Interpretable Neural Network","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4410950180","doi":"https://doi.org/10.1109/tim.2025.3571134"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3571134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3571134","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/A5081819768","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0002-3731-368X"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["School of Automation, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115594691","display_name":"Xuekang Yang","orcid":"https://orcid.org/0009-0003-8844-7391"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuekang Yang","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0003-8844-7391","affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101939976","display_name":"Ming Lyu","orcid":"https://orcid.org/0000-0002-4324-1627"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ming Lyu","raw_affiliation_strings":["School of Automation, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020176216","display_name":"Jie Zhang","orcid":"https://orcid.org/0009-0003-6575-4110"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["School of Automation, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0003-6575-4110","affiliations":[{"raw_affiliation_string":"School of Automation, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.86734202,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9157999753952026,"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"}},"topics":[{"id":"https://openalex.org/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.9157999753952026,"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6731587052345276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5322090983390808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.502605676651001},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4942750930786133},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4879309833049774},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4756733477115631},{"id":"https://openalex.org/keywords/uncertainty-quantification","display_name":"Uncertainty quantification","score":0.46916231513023376},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37291568517684937},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.30312812328338623},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2254047691822052},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.11543390154838562},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.09061211347579956}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6731587052345276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5322090983390808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.502605676651001},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4942750930786133},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4879309833049774},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4756733477115631},{"id":"https://openalex.org/C32230216","wikidata":"https://www.wikidata.org/wiki/Q7882499","display_name":"Uncertainty quantification","level":2,"score":0.46916231513023376},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37291568517684937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30312812328338623},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2254047691822052},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.11543390154838562},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.09061211347579956},{"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.2025.3571134","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3571134","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":"Climate action","score":0.5400000214576721,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W1496451467","https://openalex.org/W1568450818","https://openalex.org/W2036084078","https://openalex.org/W2887782657","https://openalex.org/W2963934397","https://openalex.org/W3122347867","https://openalex.org/W3202183072","https://openalex.org/W3211666705","https://openalex.org/W3213439721","https://openalex.org/W4205561327","https://openalex.org/W4220968817","https://openalex.org/W4221139382","https://openalex.org/W4224273747","https://openalex.org/W4285900042","https://openalex.org/W4295886387","https://openalex.org/W4296121638","https://openalex.org/W4318953228","https://openalex.org/W4321016476","https://openalex.org/W4324135233","https://openalex.org/W4381050912","https://openalex.org/W4383901100","https://openalex.org/W4385392099","https://openalex.org/W4385574937","https://openalex.org/W4387682266","https://openalex.org/W4388839491","https://openalex.org/W4390738781","https://openalex.org/W4391992770","https://openalex.org/W4392024666","https://openalex.org/W4394744485","https://openalex.org/W4399518616","https://openalex.org/W4400391695","https://openalex.org/W4400975550","https://openalex.org/W4401214053","https://openalex.org/W4402593323","https://openalex.org/W4407129082"],"related_works":["https://openalex.org/W1991093342","https://openalex.org/W2078622645","https://openalex.org/W2170798819","https://openalex.org/W3127311823","https://openalex.org/W3196464345","https://openalex.org/W1986474611","https://openalex.org/W4372183490","https://openalex.org/W3094658433","https://openalex.org/W2049479034","https://openalex.org/W2372829958"],"abstract_inverted_index":{"With":[0],"the":[1,15,26,50,54,88,108,128,131,135,139,142,151,155,160,167,170,173,194,200,206,241],"introduction":[2],"of":[3,29,43,53,141,169,184,197,202,210,231,246],"uncertainty":[4,64,211],"estimation":[5,207],"methods":[6],"in":[7,17,45,145,159,212],"deep":[8],"learning,":[9],"artificial":[10],"intelligence":[11],"(AI)":[12],"has":[13,110],"improved":[14],"reliability":[16],"various":[18],"fault":[19,46,66,221,243],"diagnosis":[20,47,67,222,244],"and":[21,48,79,91,101,115,119,124,138,162,190,205,208,228,233,248,253],"risk":[22],"decision-making":[23],"applications.":[24],"However,":[25],"training":[27,129],"process":[28],"these":[30,181],"models":[31,55],"is":[32,177],"often":[33],"treated":[34],"as":[35,87],"a":[36,41,71,111,219],"black":[37],"box,":[38],"leading":[39],"to":[40,149,179],"lack":[42],"interpretability":[44,168],"making":[49],"physical":[51,113],"meaning":[52,114],"unclear.":[56],"To":[57],"address":[58],"this":[59],"issue,":[60],"we":[61],"propose":[62],"an":[63],"quantification":[65,209],"method":[68],"based":[69],"on":[70,158],"multisignal":[72],"domain":[73],"interpretable":[74],"neural":[75],"network,":[76],"termed":[77],"local":[78,125],"global":[80,123],"BayesCNN":[81,86,198],"(LGBayesCNN).":[82],"This":[83],"framework":[84],"uses":[85],"backbone":[89],"network":[90,132,156],"replaces":[92],"traditional":[93],"convolutional":[94],"kernels":[95],"with":[96],"fractional":[97],"Fourier":[98,103],"transform":[99,104],"(FrFT)":[100],"short-time":[102],"(STFT),":[105],"ensuring":[106],"that":[107,154,238],"model":[109],"clear":[112],"enabling":[116],"feature":[117,188],"extraction":[118],"analysis":[120],"from":[121,224],"both":[122],"perspectives.":[126],"During":[127],"process,":[130],"adaptively":[133],"adjusts":[134],"FrFT":[136],"order":[137],"frequency":[140],"window":[143],"function":[144],"STFT,":[146],"allowing":[147],"it":[148],"reveal":[150],"signal":[152],"features":[153,185],"focuses":[157],"fractional-frequency":[161],"time-frequency":[163],"domain,":[164],"further":[165],"enhancing":[166],"network.":[171],"Moreover,":[172],"joint":[174],"cross-attention":[175],"mechanism":[176],"introduced":[178],"fuse":[180],"two":[182],"types":[183],"for":[186],"achieving":[187],"complementarity":[189],"enhancement.":[191],"In":[192],"addition,":[193],"uncertainty-aware":[195],"capability":[196],"enables":[199],"detection":[201],"unknown":[203],"faults":[204],"diagnostic":[213],"results.":[214],"We":[215],"conducted":[216],"experiments":[217],"using":[218],"bearing":[220],"dataset":[223],"Southeast":[225],"University":[226,230],"(SEU)":[227],"Huazhong":[229],"Science":[232],"Technology.":[234],"The":[235],"results":[236],"show":[237],"LGBayesCNN":[239],"achieves":[240],"highest":[242],"accuracy":[245],"99.81%":[247],"100%,":[249],"demonstrating":[250],"its":[251],"effectiveness":[252],"reliability.":[254]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}