{"id":"https://openalex.org/W4401416373","doi":"https://doi.org/10.1109/tr.2024.3432970","title":"CIRNet: An Interpretable Cross-Component Few-Shot Mechanical Fault Diagnosis","display_name":"CIRNet: An Interpretable Cross-Component Few-Shot Mechanical Fault Diagnosis","publication_year":2024,"publication_date":"2024-08-08","ids":{"openalex":"https://openalex.org/W4401416373","doi":"https://doi.org/10.1109/tr.2024.3432970"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2024.3432970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2024.3432970","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":"https://openalex.org/A5037145675","display_name":"Xu Ding","orcid":"https://orcid.org/0000-0002-7669-4139"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xu Ding","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, School of Computer and Information, Ministry of Education, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, School of Computer and Information, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106432835","display_name":"Jintao Ying","orcid":null},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"JinTao Ying","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, School of Computer and Information, Ministry of Education, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, School of Computer and Information, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015168873","display_name":"Guanghao Chen","orcid":"https://orcid.org/0000-0002-1353-8585"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"GuanHua Chen","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, School of Computer and Information, Ministry of Education, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, School of Computer and Information, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003856310","display_name":"Juan Xu","orcid":"https://orcid.org/0000-0002-6626-1700"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juan Xu","raw_affiliation_strings":["Key Laboratory of Knowledge Engineering with Big Data, School of Computer and Information, Ministry of Education, Hefei University of Technology, Hefei, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Engineering with Big Data, School of Computer and Information, Ministry of Education, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5037145675"],"corresponding_institution_ids":["https://openalex.org/I16365422"],"apc_list":null,"apc_paid":null,"fwci":2.6018,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89906482,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"74","issue":"3","first_page":"3938","last_page":"3952"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9782999753952026,"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":0.9782999753952026,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9743000268936157,"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/T11357","display_name":"Risk and Safety Analysis","score":0.9057999849319458,"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/component","display_name":"Component (thermodynamics)","score":0.7519428730010986},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4720381498336792},{"id":"https://openalex.org/keywords/one-shot","display_name":"One shot","score":0.44787272810935974},{"id":"https://openalex.org/keywords/shot","display_name":"Shot (pellet)","score":0.43739446997642517},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.42719554901123047},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4106558859348297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3713127374649048},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33974331617355347},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25053727626800537},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.18120265007019043},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.1570773720741272},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.12864306569099426},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10128083825111389},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.0853920578956604}],"concepts":[{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.7519428730010986},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4720381498336792},{"id":"https://openalex.org/C2992734406","wikidata":"https://www.wikidata.org/wiki/Q413267","display_name":"One shot","level":2,"score":0.44787272810935974},{"id":"https://openalex.org/C2778344882","wikidata":"https://www.wikidata.org/wiki/Q278938","display_name":"Shot (pellet)","level":2,"score":0.43739446997642517},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.42719554901123047},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4106558859348297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3713127374649048},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33974331617355347},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25053727626800537},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.18120265007019043},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.1570773720741272},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.12864306569099426},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10128083825111389},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0853920578956604},{"id":"https://openalex.org/C191897082","wikidata":"https://www.wikidata.org/wiki/Q11467","display_name":"Metallurgy","level":1,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2024.3432970","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2024.3432970","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":[{"display_name":"Climate action","score":0.6100000143051147,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G120611668","display_name":null,"funder_award_id":"52375089","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":35,"referenced_works":["https://openalex.org/W2143891888","https://openalex.org/W2516809705","https://openalex.org/W2554813630","https://openalex.org/W2765317657","https://openalex.org/W2907541186","https://openalex.org/W2956467153","https://openalex.org/W3104771687","https://openalex.org/W3135588948","https://openalex.org/W3193741668","https://openalex.org/W3200647619","https://openalex.org/W3201753566","https://openalex.org/W3204802073","https://openalex.org/W3206022579","https://openalex.org/W3208863418","https://openalex.org/W3215512623","https://openalex.org/W4205494643","https://openalex.org/W4206941915","https://openalex.org/W4214519690","https://openalex.org/W4214688034","https://openalex.org/W4225658837","https://openalex.org/W4285298998","https://openalex.org/W4292824755","https://openalex.org/W4294811289","https://openalex.org/W4309090107","https://openalex.org/W4309659065","https://openalex.org/W4311897638","https://openalex.org/W4312479372","https://openalex.org/W4321354006","https://openalex.org/W4322620993","https://openalex.org/W4372358269","https://openalex.org/W4379930959","https://openalex.org/W4382449964","https://openalex.org/W4388761197","https://openalex.org/W4391377837","https://openalex.org/W4391616987"],"related_works":["https://openalex.org/W2497720472","https://openalex.org/W4292659306","https://openalex.org/W3044321615","https://openalex.org/W4294892107","https://openalex.org/W2806221744","https://openalex.org/W2326937258","https://openalex.org/W394267150","https://openalex.org/W2773965352","https://openalex.org/W2357748469","https://openalex.org/W2392917037"],"abstract_inverted_index":{"In":[0,179],"recent":[1],"years,":[2],"several":[3],"few-shot":[4,66,134,175],"learning":[5],"(FSL)":[6],"approaches":[7,29],"for":[8,64,204],"industrial":[9],"equipment":[10],"fault":[11,22,67,135,141,176],"diagnosis":[12,23,46,68,136,150,177],"have":[13],"emerged":[14],"to":[15,137,168],"tackle":[16,53],"the":[17,26,31,45,70,94,105,113,126,130,139,144,148,170,174,182,198,226],"challenges":[18],"posed":[19],"by":[20],"small":[21],"datasets.":[24],"However,":[25],"existing":[27,229],"FSL":[28],"model":[30,74,125,183,227],"correlation":[32],"between":[33,116,189],"input":[34],"and":[35,50,84,93,143,163,201,214],"output":[36],"variables":[37],"while":[38],"ignoring":[39],"causality,":[40],"which":[41],"cannot":[42],"ensure":[43],"that":[44,225],"results":[47,223],"are":[48],"interpretable":[49],"robust.":[51],"To":[52],"this":[54,56],"problem,":[55],"article":[57],"introduces":[58],"a":[59,76,80,85,99,153,158,215],"causal":[60,71,81,121,127,140,171,186],"intervention":[61,82,122],"relation":[62,86,95],"network":[63],"cross-component":[65],"from":[69],"perspective.":[72],"The":[73,89,221],"comprises":[75],"feature":[77,90,114,164],"encoding":[78,91],"module,":[79,83,123],"measure":[87,96],"module.":[88],"module":[92,97],"establish":[98],"trainable":[100],"similarity":[101],"metric":[102],"space":[103],"through":[104],"training":[106],"of":[107,129,133,160,173],"multiple":[108],"metatasks,":[109],"where":[110],"they":[111],"learn":[112],"distances":[115],"sample":[117],"pairs.":[118],"Importantly,":[119],"in":[120,218],"we":[124],"structure":[128],"metalearning":[131],"process":[132],"find":[138],"features":[142,188],"confounder":[145],"factor,":[146],"i.e.,":[147],"metatraining":[149],"knowledge.":[151],"Correspondingly":[152],"backdoor":[154],"adjustment":[155,162,165],"approach":[156],"via":[157],"combination":[159],"class-based":[161],"is":[166],"designed":[167],"realize":[169],"calibration":[172],"model.":[178],"such":[180],"way,":[181],"can":[184],"capture":[185],"invariant":[187],"various":[190],"components":[191],"with":[192],"significant":[193],"distributional":[194],"differences,":[195],"thus":[196],"enhancing":[197],"model's":[199],"interpretability":[200],"its":[202],"capacity":[203],"generalization.":[205],"We":[206],"perform":[207],"experiments":[208],"on":[209],"two":[210],"openly":[211],"accessible":[212],"datasets":[213],"dataset":[216],"constructed":[217],"our":[219],"laboratory.":[220],"experimental":[222],"demonstrate":[224],"outperforms":[228],"state-of-the-art":[230],"approaches.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-04T08:04:53.788161","created_date":"2025-10-10T00:00:00"}