{"id":"https://openalex.org/W4322707015","doi":"https://doi.org/10.1109/tim.2023.3250308","title":"Reliable and Intelligent Fault Diagnosis With Evidential VGG Neural Networks","display_name":"Reliable and Intelligent Fault Diagnosis With Evidential VGG Neural Networks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4322707015","doi":"https://doi.org/10.1109/tim.2023.3250308"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3250308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3250308","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/A5041182838","display_name":"Hanting Zhou","orcid":"https://orcid.org/0000-0003-2826-4385"},"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":true,"raw_author_name":"Hanting Zhou","raw_affiliation_strings":["School of Economics and Management, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2826-4385","affiliations":[{"raw_affiliation_string":"School of Economics and Management, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083450269","display_name":"Wenhe Chen","orcid":"https://orcid.org/0000-0003-2236-7076"},"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":"Wenhe Chen","raw_affiliation_strings":["School of Economics and Management, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-2236-7076","affiliations":[{"raw_affiliation_string":"School of Economics and Management, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070922217","display_name":"Longsheng Cheng","orcid":"https://orcid.org/0000-0002-3693-8311"},"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":"Longsheng Cheng","raw_affiliation_strings":["School of Economics and Management, Nanjing University of Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-3693-8311","affiliations":[{"raw_affiliation_string":"School of Economics and Management, Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086986136","display_name":"Darren L. Williams","orcid":"https://orcid.org/0000-0002-2247-7454"},"institutions":[{"id":"https://openalex.org/I169635715","display_name":"The Welding Institute","ror":"https://ror.org/03kchyj69","country_code":"GB","type":"facility","lineage":["https://openalex.org/I169635715"]},{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Darren Williams","raw_affiliation_strings":["School of Engineering, Lancaster University, Lancaster, U.K","Welding Institute, Cambridge, U.K"],"raw_orcid":"https://orcid.org/0000-0002-2247-7454","affiliations":[{"raw_affiliation_string":"School of Engineering, Lancaster University, Lancaster, U.K","institution_ids":["https://openalex.org/I67415387"]},{"raw_affiliation_string":"Welding Institute, Cambridge, U.K","institution_ids":["https://openalex.org/I169635715"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077953037","display_name":"Clarence W. de Silva","orcid":"https://orcid.org/0000-0002-5871-639X"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Clarence W. De Silva","raw_affiliation_strings":["Department of Mechanical Engineering, The University of British Columbia, BC V6T 1Z4, Vancouver, Canada"],"raw_orcid":"https://orcid.org/0000-0002-5871-639X","affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, The University of British Columbia, BC V6T 1Z4, Vancouver, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019003956","display_name":"Min Xia","orcid":"https://orcid.org/0000-0001-8057-9654"},"institutions":[{"id":"https://openalex.org/I67415387","display_name":"Lancaster University","ror":"https://ror.org/04f2nsd36","country_code":"GB","type":"education","lineage":["https://openalex.org/I67415387"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Min Xia","raw_affiliation_strings":["School of Engineering, Lancaster University, Lancaster, U.K"],"raw_orcid":"https://orcid.org/0000-0001-8057-9654","affiliations":[{"raw_affiliation_string":"School of Engineering, Lancaster University, Lancaster, U.K","institution_ids":["https://openalex.org/I67415387"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5041182838"],"corresponding_institution_ids":["https://openalex.org/I36399199"],"apc_list":null,"apc_paid":null,"fwci":3.9455,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.93935339,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"72","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":0.9969000220298767,"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":0.9969000220298767,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9846000075340271,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9771000146865845,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"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/artificial-neural-network","display_name":"Artificial neural network","score":0.6485217809677124},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6457321047782898},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6362484693527222},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6191511154174805},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5316569805145264},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5236725211143494},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.49846363067626953},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.48594391345977783},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4301765561103821},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.10443270206451416}],"concepts":[{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6485217809677124},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6457321047782898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6362484693527222},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6191511154174805},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5316569805145264},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5236725211143494},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.49846363067626953},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.48594391345977783},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4301765561103821},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.10443270206451416},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tim.2023.3250308","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3250308","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"},{"id":"pmh:oai:eprints.lancs.ac.uk:190348","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401916","display_name":"Lancaster EPrints (Lancaster University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67415387","host_organization_name":"Lancaster University","host_organization_lineage":["https://openalex.org/I67415387"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"PeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1008328842","display_name":null,"funder_award_id":"IECNSFC211012","funder_id":"https://openalex.org/F4320320006","funder_display_name":"Royal Society"},{"id":"https://openalex.org/G6668921916","display_name":null,"funder_award_id":"202106840063","funder_id":"https://openalex.org/F4320322725","funder_display_name":"China Scholarship Council"}],"funders":[{"id":"https://openalex.org/F4320320006","display_name":"Royal Society","ror":"https://ror.org/03wnrjx87"},{"id":"https://openalex.org/F4320322725","display_name":"China Scholarship Council","ror":"https://ror.org/04atp4p48"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W1494192115","https://openalex.org/W1686810756","https://openalex.org/W2734669076","https://openalex.org/W2744790985","https://openalex.org/W2808496542","https://openalex.org/W2900489637","https://openalex.org/W2904460913","https://openalex.org/W2912809831","https://openalex.org/W2921663760","https://openalex.org/W2944524737","https://openalex.org/W2956805085","https://openalex.org/W2957568672","https://openalex.org/W2964339591","https://openalex.org/W2978144367","https://openalex.org/W2981877295","https://openalex.org/W2997563872","https://openalex.org/W3013482090","https://openalex.org/W3019860881","https://openalex.org/W3033236487","https://openalex.org/W3041076719","https://openalex.org/W3041218800","https://openalex.org/W3102100346","https://openalex.org/W3102961490","https://openalex.org/W3158092787","https://openalex.org/W3164731060","https://openalex.org/W3167705651","https://openalex.org/W3184578020","https://openalex.org/W3199793489","https://openalex.org/W4205425198","https://openalex.org/W4221088221","https://openalex.org/W4285124025","https://openalex.org/W4289950759","https://openalex.org/W6637373629","https://openalex.org/W6748381273","https://openalex.org/W6748865747","https://openalex.org/W6752745768","https://openalex.org/W6763087592","https://openalex.org/W6768698167"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2391251536","https://openalex.org/W2362198218","https://openalex.org/W1982750869","https://openalex.org/W2019521278","https://openalex.org/W1984922432","https://openalex.org/W2113077220","https://openalex.org/W2375008505","https://openalex.org/W2350679292","https://openalex.org/W2372829958"],"abstract_inverted_index":{"With":[0],"the":[1,37,88,95,98,109,114,119,133,160,167,180,185,198],"emergence":[2],"of":[3,87,97,159,163,169,209],"Internet-of-Things":[4],"(IoT)":[5],"and":[6,57,67,79,112,172,188],"big":[7],"data":[8,117],"technologies,":[9],"data-driven":[10],"fault":[11,59,161,192],"diagnosis":[12,60,81,162,193],"approaches,":[13],"notably":[14],"deep":[15],"learning":[16],"(DL)-based":[17],"methods,":[18],"have":[19],"shown":[20,202],"promising":[21],"capabilities":[22],"in":[23,43,166,191,218],"achieving":[24],"high":[25,214],"accuracy":[26],"through":[27],"end-to-end":[28],"learning.":[29],"However,":[30],"these":[31],"deterministic":[32],"neural":[33,73,148],"networks":[34],"cannot":[35],"incorporate":[36],"prediction":[38,89,186],"uncertainty,":[39],"which":[40,75,143,211],"is":[41,130,153,201],"critical":[42],"practical":[44,219],"applications":[45],"with":[46,194],"possible":[47],"out-of-distribution":[48],"(OOD)":[49],"data.":[50,196],"This":[51],"present":[52],"article":[53,93],"develops":[54],"a":[55,105,156,213],"reliable":[56,80],"intelligent":[58],"(IFD)":[61],"framework":[62],"based":[63],"on":[64,108],"evidence":[65,115,128],"theory":[66,129],"improved":[68,137],"visual":[69],"geometry":[70],"group":[71],"(VGG)":[72],"networks,":[74,149],"can":[76,183],"achieve":[77],"accurate":[78],"results":[82,177],"by":[83,103,127,155],"incorporating":[84],"additional":[85],"estimation":[86],"uncertainty.":[90],"Specifically,":[91],"this":[92],"treats":[94],"predictions":[96],"VGG":[99,134,146],"as":[100,150],"subjective":[101],"opinions":[102],"placing":[104],"Dirichlet":[106],"distribution":[107],"category":[110],"probabilities":[111],"collecting":[113],"from":[116],"during":[118],"training":[120],"process.":[121],"A":[122],"specific":[123],"loss":[124],"function":[125],"assisted":[126],"adopted":[131],"for":[132,216],"to":[135,203],"obtain":[136],"uncertainty":[138,187],"estimations.":[139],"The":[140,175],"proposed":[141,181],"method,":[142],"incorporates":[144],"evidential":[145],"(EVGG)":[147],"termed":[151],"here,":[152],"verified":[154],"case":[157],"study":[158],"rolling":[164],"bearings,":[165],"presence":[168],"sensing":[170],"noise":[171],"sensor":[173],"failure.":[174],"experimental":[176],"illustrate":[178],"that":[179],"method":[182],"estimate":[184],"avoid":[189],"overconfidence":[190],"OOD":[195],"Also,":[197],"developed":[199],"approach":[200],"perform":[204],"robustly":[205],"under":[206],"various":[207],"levels":[208],"noise,":[210],"indicates":[212],"potential":[215],"use":[217],"applications.":[220]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}