{"id":"https://openalex.org/W4226443505","doi":"https://doi.org/10.1109/tii.2022.3169459","title":"Open-Set Classification for Signal Diagnosis of Machinery Sensor in Industrial Environment","display_name":"Open-Set Classification for Signal Diagnosis of Machinery Sensor in Industrial Environment","publication_year":2022,"publication_date":"2022-04-26","ids":{"openalex":"https://openalex.org/W4226443505","doi":"https://doi.org/10.1109/tii.2022.3169459"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3169459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3169459","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","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/A5101431703","display_name":"Chen Jian-ming","orcid":"https://orcid.org/0000-0002-9191-0696"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianming Chen","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-9191-0696","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007329775","display_name":"Guangjin Wang","orcid":"https://orcid.org/0000-0002-7345-8368"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangjin Wang","raw_affiliation_strings":["The Reactor Engineering Research Subinstitute, Nuclear Power Institute of China, Sichuan University, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Reactor Engineering Research Subinstitute, Nuclear Power Institute of China, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073535763","display_name":"Jiancheng Lv","orcid":"https://orcid.org/0000-0001-6551-3884"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiancheng Lv","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-6551-3884","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079411812","display_name":"Zhenan He","orcid":"https://orcid.org/0000-0001-6519-7332"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenan He","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0001-6519-7332","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068115651","display_name":"Taibo Yang","orcid":"https://orcid.org/0000-0003-2229-8517"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taibo Yang","raw_affiliation_strings":["The Reactor Engineering Research Subinstitute, Nuclear Power Institute of China, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0003-2229-8517","affiliations":[{"raw_affiliation_string":"The Reactor Engineering Research Subinstitute, Nuclear Power Institute of China, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024548751","display_name":"Chenwei Tang","orcid":"https://orcid.org/0000-0002-1749-986X"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]},{"id":"https://openalex.org/I4210125143","display_name":"Chengdu University","ror":"https://ror.org/034z67559","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210125143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenwei Tang","raw_affiliation_strings":["College of Computer Science, Sichuan University, Chengdu, China"],"raw_orcid":"https://orcid.org/0000-0002-1749-986X","affiliations":[{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, China","institution_ids":["https://openalex.org/I24185976","https://openalex.org/I4210125143"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0415,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.91703975,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"19","issue":"3","first_page":"2574","last_page":"2584"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9975000023841858,"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":0.9975000023841858,"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":0.9975000023841858,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/computer-science","display_name":"Computer science","score":0.6395742893218994},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.596068799495697},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5761933922767639},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.571245551109314},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5308787822723389},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.501863956451416},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.49700382351875305},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.4833797812461853},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.44478875398635864},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4265366792678833},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.41206175088882446},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.16312336921691895}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6395742893218994},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.596068799495697},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5761933922767639},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.571245551109314},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5308787822723389},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.501863956451416},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.49700382351875305},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.4833797812461853},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.44478875398635864},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4265366792678833},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.41206175088882446},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.16312336921691895},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2022.3169459","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3169459","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G5382586338","display_name":null,"funder_award_id":"62106161","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G904339106","display_name":null,"funder_award_id":"62076172","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":41,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W1499798934","https://openalex.org/W2187089797","https://openalex.org/W2605920867","https://openalex.org/W2743151379","https://openalex.org/W2799709780","https://openalex.org/W2887782657","https://openalex.org/W2901114541","https://openalex.org/W2948429981","https://openalex.org/W2951883849","https://openalex.org/W2963149653","https://openalex.org/W2963499153","https://openalex.org/W2963684088","https://openalex.org/W2963875483","https://openalex.org/W2964137095","https://openalex.org/W2977117446","https://openalex.org/W2992671401","https://openalex.org/W2993397516","https://openalex.org/W3001242017","https://openalex.org/W3027585699","https://openalex.org/W3082435965","https://openalex.org/W3086419524","https://openalex.org/W3120795858","https://openalex.org/W3122985179","https://openalex.org/W3124057057","https://openalex.org/W3142041738","https://openalex.org/W3160361541","https://openalex.org/W3160541836","https://openalex.org/W3163723672","https://openalex.org/W3174794846","https://openalex.org/W3188809990","https://openalex.org/W4214683114","https://openalex.org/W4226231371","https://openalex.org/W6629687487","https://openalex.org/W6637373629","https://openalex.org/W6685352114","https://openalex.org/W6735443497","https://openalex.org/W6744627333","https://openalex.org/W6751494907","https://openalex.org/W6755655770","https://openalex.org/W6757615711"],"related_works":["https://openalex.org/W2351655225","https://openalex.org/W2982642565","https://openalex.org/W3164111940","https://openalex.org/W3196098778","https://openalex.org/W3211250490","https://openalex.org/W39098654","https://openalex.org/W2113421559","https://openalex.org/W2353268662","https://openalex.org/W2381840742","https://openalex.org/W100187532"],"abstract_inverted_index":{"In":[0],"recent":[1],"years,":[2],"the":[3,36,43,47,49,80,93,136,148,168,211],"signal":[4,18,126,219],"diagnosis":[5,19],"on":[6,23,180,201],"devices":[7],"operating":[8,50],"under":[9],"industrial":[10,40],"environment":[11,51],"has":[12],"attracted":[13],"increasing":[14],"attention.":[15],"Most":[16],"data-driven":[17],"methods":[20,97],"are":[21,35,87,98,153],"based":[22,179],"a":[24,123,156,186],"closed-set":[25,94],"assumption":[26],"that":[27],"class":[28],"sets":[29],"of":[30,46,79,103,170,188,215],"training":[31,90],"and":[32,52,68,111,150,166,184,207,213],"test":[33],"data":[34,60,146],"same.":[37],"However,":[38],"in":[39,89,147,223],"scenarios,":[41],"during":[42],"running":[44],"process":[45],"device,":[48],"condition":[53],"may":[54],"change":[55],"over":[56],"time,":[57],"continuing":[58],"generating":[59],"belonging":[61],"to":[62,83,100,107,134,142,162,173,194],"unknown":[63,71,113,195],"classes":[64,72,110,165],"with":[65],"new":[66,75],"characteristics":[67],"distribution.":[69],"The":[70,198],"usually":[73],"reflect":[74],"modes":[76],"or":[77,196],"faults":[78],"device":[81],"needed":[82],"be":[84],"captured.":[85],"They":[86],"unavailable":[88],"phase,":[91],"contradicting":[92],"assumption.":[95],"Existing":[96],"inappropriate":[99],"this":[101,117,120],"type":[102],"open-set":[104,125,218],"classification,":[105],"requiring":[106],"classify":[108,163],"known":[109,164],"recognize":[112],"classes.":[114],"To":[115],"address":[116],"challenging":[118],"problem,":[119],"article":[121],"proposes":[122],"generic":[124],"classification":[127,220],"method.":[128],"First,":[129],"we":[130],"apply":[131],"Fourier":[132],"transform":[133],"convert":[135],"sensor":[137],"signals":[138],"from":[139,205],"time":[140,149],"domain":[141],"frequency":[143,151],"domain,":[144],"then":[145],"domains":[152],"fused.":[154],"Next,":[155],"variational":[157],"encoder-classifier":[158],"network":[159],"is":[160],"proposed":[161,217],"learn":[167],"distribution":[169],"feature":[171],"space":[172],"extract":[174],"robust":[175],"latent":[176],"features.":[177],"Finally,":[178],"extreme":[181],"value":[182],"theory":[183],"entropy,":[185],"pair":[187],"discriminators":[189],"determine":[190],"whether":[191],"samples":[192],"belong":[193],"not.":[197],"experimental":[199],"results":[200],"two":[202],"vibration-signal":[203],"datasets":[204],"bearings":[206],"nuclear":[208],"reactor":[209],"demonstrate":[210],"effectiveness":[212],"superiority":[214],"our":[216],"method,":[221],"especially":[222],"practical":[224],"applications.":[225]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":18},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":7}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}