{"id":"https://openalex.org/W4414008412","doi":"https://doi.org/10.1109/tr.2025.3601737","title":"VBStMM-LLM: Robust Fault Identification Leveraging Variational Bayesian Student\u2019s T-Mixture Modeling With Lifelong Learning Mechanism","display_name":"VBStMM-LLM: Robust Fault Identification Leveraging Variational Bayesian Student\u2019s T-Mixture Modeling With Lifelong Learning Mechanism","publication_year":2025,"publication_date":"2025-09-05","ids":{"openalex":"https://openalex.org/W4414008412","doi":"https://doi.org/10.1109/tr.2025.3601737"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2025.3601737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2025.3601737","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Reliability","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":null,"display_name":"Jingyan Li","orcid":"https://orcid.org/0000-0001-5748-8607"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingyan Li","raw_affiliation_strings":["School of Mathematics and Statistics, Hunan Normal University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0001-5748-8607","affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017145554","display_name":"Jiaju Man","orcid":null},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaju Man","raw_affiliation_strings":["School of Mathematics and Statistics, Hunan Normal University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mathematics and Statistics, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100606679","display_name":"Jinping Liu","orcid":"https://orcid.org/0000-0002-8669-882X"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinping Liu","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-8669-882X","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Di Luo","orcid":"https://orcid.org/0009-0004-9052-6571"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]},{"id":"https://openalex.org/I3130607311","display_name":"Changsha Normal University","ror":"https://ror.org/02sqk3z62","country_code":"CN","type":"education","lineage":["https://openalex.org/I3130607311"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Luo","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, China"],"raw_orcid":"https://orcid.org/0009-0004-9052-6571","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, China","institution_ids":["https://openalex.org/I3130607311","https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044361588","display_name":"Haidong Shao","orcid":"https://orcid.org/0000-0001-7106-0009"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haidong Shao","raw_affiliation_strings":["College of Mechanical and Vehicle Engineering, Hunan University, Changsh, China"],"raw_orcid":"https://orcid.org/0000-0001-7106-0009","affiliations":[{"raw_affiliation_string":"College of Mechanical and Vehicle Engineering, Hunan University, Changsh, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035923986","display_name":"Yongfang Xie","orcid":"https://orcid.org/0000-0002-2060-6574"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongfang Xie","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-2060-6574","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I173759888","https://openalex.org/I3130607311"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.27563475,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"74","issue":"4","first_page":"4775","last_page":"4790"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9839000105857849,"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":0.9839000105857849,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9077000021934509,"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/identification","display_name":"Identification (biology)","score":0.6178605556488037},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.6076158881187439},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5818396210670471},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5329616665840149},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5210410952568054},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.45558270812034607},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4303591549396515},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.07681787014007568}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6178605556488037},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.6076158881187439},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5818396210670471},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5329616665840149},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5210410952568054},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.45558270812034607},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4303591549396515},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.07681787014007568},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2025.3601737","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2025.3601737","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"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 Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3364774865","display_name":null,"funder_award_id":"62233018","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5140436791","display_name":null,"funder_award_id":"62371187","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":44,"referenced_works":["https://openalex.org/W1987091338","https://openalex.org/W2004186751","https://openalex.org/W2017979853","https://openalex.org/W2030109968","https://openalex.org/W2039615557","https://openalex.org/W2073503722","https://openalex.org/W2077615838","https://openalex.org/W2098439089","https://openalex.org/W2137971377","https://openalex.org/W2143288231","https://openalex.org/W2158958729","https://openalex.org/W2337983776","https://openalex.org/W2566740087","https://openalex.org/W2588306484","https://openalex.org/W2589808763","https://openalex.org/W2612481336","https://openalex.org/W2774636206","https://openalex.org/W2796942168","https://openalex.org/W2970787185","https://openalex.org/W2973514646","https://openalex.org/W2985022470","https://openalex.org/W3047463300","https://openalex.org/W3137375549","https://openalex.org/W3156924792","https://openalex.org/W3187720160","https://openalex.org/W3199080151","https://openalex.org/W3199803535","https://openalex.org/W3199842479","https://openalex.org/W4206182782","https://openalex.org/W4220948520","https://openalex.org/W4224027514","https://openalex.org/W4281766517","https://openalex.org/W4282916371","https://openalex.org/W4282942000","https://openalex.org/W4294068740","https://openalex.org/W4313195012","https://openalex.org/W4313524849","https://openalex.org/W4386071564","https://openalex.org/W4388207980","https://openalex.org/W4392828127","https://openalex.org/W4400889670","https://openalex.org/W4402661252","https://openalex.org/W4404252085","https://openalex.org/W4406458157"],"related_works":["https://openalex.org/W2382997850","https://openalex.org/W2390968135","https://openalex.org/W2382213751","https://openalex.org/W2351750670","https://openalex.org/W1597848696","https://openalex.org/W2354715126","https://openalex.org/W2388563748","https://openalex.org/W2375179084","https://openalex.org/W2366646518","https://openalex.org/W2370906336"],"abstract_inverted_index":{"Modern":[0],"industrial":[1,86,223],"processes":[2,87],"often":[3],"exhibit":[4],"non-Gaussian,":[5],"multimodal,":[6,84],"and":[7,18,25,36,43,123,125,140,152,191,216],"time-varying":[8,85],"behaviors":[9],"due":[10,88],"to":[11,89],"fluctuating":[12],"operating":[13],"conditions,":[14],"raw":[15],"material":[16],"variations,":[17],"external":[19],"disturbances,":[20],"such":[21],"as":[22],"sensor":[23],"failures":[24],"noise.":[26],"These":[27,209],"complexities":[28],"pose":[29],"significant":[30],"challenges":[31],"for":[32,39,83,195,221],"robust":[33,55,95],"fault":[34,56,185,197],"detection":[35],"identification,":[37],"critical":[38],"ensuring":[40],"process":[41,115,151],"stability":[42],"product":[44],"quality.":[45],"To":[46],"tackle":[47],"these":[48],"challenges,":[49],"this":[50],"article":[51],"proposes":[52],"an":[53],"innovative":[54],"identification":[57,186],"framework":[58],"that":[59,132],"leverages":[60],"a":[61,72,94,159,164,204],"variational":[62,108],"Bayesian":[63,109],"student\u2019s":[64],"<inline-formula":[65,103],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[66,104],"xmlns:xlink=\"http://www.w3.org/1999/xlink\"><tex-math":[67,105],"notation=\"LaTeX\">$t$</tex-math></inline-formula>-mixture":[68],"model":[69,135],"(VBstMM)":[70],"with":[71,107],"lifelong":[73],"learning":[74],"mechanism":[75],"(LLM),":[76],"named":[77],"VBStMM-LLM.":[78],"VBStMM-LLM":[79,183],"is":[80],"particularly":[81],"effective":[82],"two":[90],"core":[91],"innovations:":[92],"first,":[93],"mixture":[96],"modeling":[97],"approach":[98],"grounded":[99],"in":[100,158],"the":[101,119,127,147,153,170,175,180,196],"Student\u2019s":[102],"notation=\"LaTeX\">$t$</tex-math></inline-formula>-distribution":[106],"inference,":[110],"which":[111],"accurately":[112],"captures":[113],"complex":[114],"dynamics":[116],"while":[117],"mitigating":[118],"impact":[120],"of":[121,130,179,188,199,207],"noise":[122],"outliers;":[124],"second,":[126],"innovational":[128],"integration":[129],"LLM":[131],"enables":[133],"adaptive":[134],"updates,":[136],"preserving":[137],"historical":[138],"knowledge,":[139],"preventing":[141],"catastrophic":[142],"forgetting.":[143],"Extensive":[144],"experiments":[145],"on":[146],"Tennessee":[148],"Eastman":[149],"benchmark":[150],"ventilation":[154],"exhaust":[155],"fans":[156],"utilized":[157],"continuous":[160],"casting":[161],"line":[162],"at":[163],"Chinese":[165],"steel":[166],"smelting":[167],"facility":[168],"demonstrate":[169],"framework\u2019s":[171],"superior":[172],"performance.":[173],"For":[174],"three":[176],"operational":[177],"modes":[178],"TE":[181],"process,":[182],"achieved":[184,203],"accuracy":[187],"94.5%,":[189],"93.6%,":[190],"97.7%,":[192],"respectively.":[193],"Remarkably,":[194],"diagnosis":[198],"VEF":[200],"task,":[201],"it":[202],"perfect":[205],"rate":[206],"100%.":[208],"results":[210],"highlight":[211],"VBStMM-LLM\u2019s":[212],"exceptional":[213],"robustness,":[214],"accuracy,":[215],"adaptability,":[217],"underscoring":[218],"its":[219],"potential":[220],"widespread":[222],"applications.":[224]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}