{"id":"https://openalex.org/W4402979658","doi":"https://doi.org/10.1109/tim.2024.3470961","title":"Zero-Shot Compound Fault Diagnosis Method Using Semantic Construction and Embedding","display_name":"Zero-Shot Compound Fault Diagnosis Method Using Semantic Construction and Embedding","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4402979658","doi":"https://doi.org/10.1109/tim.2024.3470961"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3470961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3470961","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/A5012133653","display_name":"Honghuan Chen","orcid":"https://orcid.org/0000-0001-8429-2116"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghuan Chen","raw_affiliation_strings":["College of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-8429-2116","affiliations":[{"raw_affiliation_string":"College of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108219826","display_name":"Jian Hong","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Hong","raw_affiliation_strings":["College of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0001-6684-3380","affiliations":[{"raw_affiliation_string":"College of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110141875","display_name":"Cong Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Cong Cheng","raw_affiliation_strings":["College of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0009-0002-6847-7529","affiliations":[{"raw_affiliation_string":"College of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025698193","display_name":"Yaguang Kong","orcid":"https://orcid.org/0000-0002-0045-3259"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaguang Kong","raw_affiliation_strings":["College of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0045-3259","affiliations":[{"raw_affiliation_string":"College of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102817438","display_name":"Xiaoqing Zheng","orcid":"https://orcid.org/0000-0003-3377-1904"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoqing Zheng","raw_affiliation_strings":["College of Automation, Hangzhou Dianzi University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3377-1904","affiliations":[{"raw_affiliation_string":"College of Automation, Hangzhou Dianzi University, Hangzhou, China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":4.9323,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.95707301,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9110999703407288,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11357","display_name":"Risk and Safety Analysis","score":0.9110999703407288,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6584140658378601},{"id":"https://openalex.org/keywords/zero","display_name":"Zero (linguistics)","score":0.6215135455131531},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5509504675865173},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5280100703239441},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.41256415843963623},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39830952882766724},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.2350020706653595},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.1568194329738617}],"concepts":[{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6584140658378601},{"id":"https://openalex.org/C2780813799","wikidata":"https://www.wikidata.org/wiki/Q3274237","display_name":"Zero (linguistics)","level":2,"score":0.6215135455131531},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5509504675865173},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5280100703239441},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.41256415843963623},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39830952882766724},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.2350020706653595},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.1568194329738617},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3470961","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3470961","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":"Sustainable cities and communities","score":0.550000011920929,"id":"https://metadata.un.org/sdg/11"}],"awards":[{"id":"https://openalex.org/G1550846934","display_name":null,"funder_award_id":"U22A2047","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3085798465","display_name":null,"funder_award_id":"LHZY24A010006","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W652269744","https://openalex.org/W1568654892","https://openalex.org/W1968969471","https://openalex.org/W2062531846","https://openalex.org/W2118439480","https://openalex.org/W2530133016","https://openalex.org/W2757713103","https://openalex.org/W2791036512","https://openalex.org/W2791694051","https://openalex.org/W2913157389","https://openalex.org/W2944954104","https://openalex.org/W2963283377","https://openalex.org/W2964248207","https://openalex.org/W2971479067","https://openalex.org/W2991661665","https://openalex.org/W3009971095","https://openalex.org/W3016694232","https://openalex.org/W3019898994","https://openalex.org/W3090982778","https://openalex.org/W3157688629","https://openalex.org/W3173857597","https://openalex.org/W3174513158","https://openalex.org/W3177031970","https://openalex.org/W3212436340","https://openalex.org/W3213088652","https://openalex.org/W4225571513","https://openalex.org/W4225942666","https://openalex.org/W4285231711","https://openalex.org/W4309835949","https://openalex.org/W4321368493","https://openalex.org/W4376467144","https://openalex.org/W4378677588","https://openalex.org/W4383618203"],"related_works":["https://openalex.org/W2074502265","https://openalex.org/W4214877189","https://openalex.org/W2773965352","https://openalex.org/W2381179799","https://openalex.org/W2980279061","https://openalex.org/W2334685461","https://openalex.org/W2366718574","https://openalex.org/W2359774528","https://openalex.org/W4298312966","https://openalex.org/W2325697621"],"abstract_inverted_index":{"Compound":[0],"fault":[1,14,35,54,68,98,169],"diagnosis":[2,15],"has":[3,198,231],"been":[4,199],"a":[5,19,52,65,96,120,140],"challenge":[6],"in":[7,42,201],"rotating":[8],"machinery":[9],"health":[10],"management.":[11],"Current":[12],"compound":[13,34,58,67,97,159,168,179,221],"methods":[16],"rely":[17],"on":[18,105],"substantial":[20],"number":[21],"of":[22,33,111,158],"labeled":[23],"samples,":[24],"which":[25,71],"are":[26,181],"impractical":[27],"to":[28,187],"obtain":[29],"for":[30,88],"every":[31],"type":[32],"and":[36,85,147,194,210,227],"pose":[37],"safety":[38],"risks":[39],"when":[40],"collected":[41],"industrial":[43],"settings.":[44],"To":[45],"address":[46],"these":[47],"issues,":[48],"we":[49,94,118,138,164],"have":[50],"built":[51],"bearing":[53],"dataset":[55,209],"that":[56,127,217],"includes":[57],"faults":[59,81,113,160,180,222],"under":[60,82,114,133,173],"multiple":[61,89,174,224],"conditions.":[62,92,116,136,176],"We":[63],"propose":[64],"zero-shot":[66],"identification":[69,229],"model,":[70,163],"can":[72,165,219],"be":[73],"established":[74],"solely":[75],"using":[76,144,184,204],"vibration":[77,109,131],"data":[78,110,132],"from":[79,108,130,150],"single":[80,112,151],"no-load":[83,115],"conditions":[84],"is":[86],"suitable":[87],"unknown":[90,225],"load":[91,135,175],"First,":[93],"design":[95],"logical":[99],"semantic":[100,141,171],"(CFLS)":[101],"construction":[102],"method":[103,197],"based":[104],"statistical":[106],"indicators":[107],"Second,":[117],"develop":[119],"multihead":[121],"self-attention":[122],"(MHSA)-based":[123],"feature":[124],"extraction":[125],"approach":[126],"extracts":[128],"features":[129,148,157],"various":[134],"Third,":[137],"train":[139],"embedding":[142],"model":[143],"the":[145,155,162,167,178,189,206,211,228],"semantics":[146,185],"derived":[149],"faults.":[152],"By":[153],"inputting":[154],"extracted":[156],"into":[161],"get":[166],"dynamic":[170],"(CFDS)":[172],"Finally,":[177],"identified":[182],"by":[183],"regression":[186],"compare":[188],"Euclidean":[190],"distance":[191],"between":[192],"CFLS":[193],"CFDS.":[195],"This":[196],"validated":[200],"two":[202],"cases":[203],"both":[205],"self-built":[207],"HDU":[208],"Paderborn":[212],"dataset.":[213],"The":[214],"results":[215],"show":[216],"it":[218],"recognize":[220],"across":[223],"domains":[226],"accuracy":[230],"reached":[232],"78.17%.":[233]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":10}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
