{"id":"https://openalex.org/W4390285062","doi":"https://doi.org/10.1109/tr.2023.3339331","title":"Motor Fault Diagnosis Based on Time\u2013Frequency Swinging Door Algorithm and Convolutional Kernel Receptive Field Matching Framework","display_name":"Motor Fault Diagnosis Based on Time\u2013Frequency Swinging Door Algorithm and Convolutional Kernel Receptive Field Matching Framework","publication_year":2023,"publication_date":"2023-12-27","ids":{"openalex":"https://openalex.org/W4390285062","doi":"https://doi.org/10.1109/tr.2023.3339331"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2023.3339331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2023.3339331","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/A5100447049","display_name":"Xiaofei Zhang","orcid":"https://orcid.org/0000-0002-8256-0401"},"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":"Xiaofei Zhang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-8256-0401","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026831329","display_name":"Weizhi Liang","orcid":"https://orcid.org/0000-0002-0601-3131"},"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":"Weizhi Liang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0601-3131","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060016352","display_name":"Yinpeng Qu","orcid":"https://orcid.org/0000-0002-0747-9830"},"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":"Yinpeng Qu","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-0747-9830","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055362933","display_name":"Xiwei Wang","orcid":"https://orcid.org/0000-0002-7245-4840"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiwei Wang","raw_affiliation_strings":["Shaoxing Power Supply Company, State Grid Zhejiang Electric Power Company, Ltd., Shaoxing, China"],"raw_orcid":"https://orcid.org/0000-0002-7245-4840","affiliations":[{"raw_affiliation_string":"Shaoxing Power Supply Company, State Grid Zhejiang Electric Power Company, Ltd., Shaoxing, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082444001","display_name":"Sheng Huang","orcid":"https://orcid.org/0000-0003-0126-4430"},"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":"Sheng Huang","raw_affiliation_strings":["College of Electrical and Information Engineering, Hunan University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-0126-4430","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering, Hunan University, Changsha, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2162,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.88073617,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"73","issue":"3","first_page":"1581","last_page":"1591"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9994000196456909,"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":0.9994000196456909,"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/T10188","display_name":"Advanced machining processes and optimization","score":0.9833999872207642,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6651797294616699},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6539733409881592},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.5952913165092468},{"id":"https://openalex.org/keywords/time\u2013frequency-analysis","display_name":"Time\u2013frequency analysis","score":0.5856397747993469},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5637215971946716},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5040168166160583},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4709789752960205},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.45705389976501465},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.43959370255470276},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4215018153190613},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.41731417179107666},{"id":"https://openalex.org/keywords/receptive-field","display_name":"Receptive field","score":0.415256142616272},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4141378402709961},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.2535220980644226},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1772460639476776}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6651797294616699},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6539733409881592},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.5952913165092468},{"id":"https://openalex.org/C142433447","wikidata":"https://www.wikidata.org/wiki/Q7806653","display_name":"Time\u2013frequency analysis","level":3,"score":0.5856397747993469},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5637215971946716},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5040168166160583},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4709789752960205},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.45705389976501465},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.43959370255470276},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4215018153190613},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.41731417179107666},{"id":"https://openalex.org/C19071747","wikidata":"https://www.wikidata.org/wiki/Q1755207","display_name":"Receptive field","level":2,"score":0.415256142616272},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4141378402709961},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2535220980644226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1772460639476776},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2023.3339331","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2023.3339331","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":[{"id":"https://metadata.un.org/sdg/9","score":0.5099999904632568,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1240826254","display_name":null,"funder_award_id":"52077064","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1974520297","display_name":null,"funder_award_id":"52207095","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":29,"referenced_works":["https://openalex.org/W2053443947","https://openalex.org/W2060304859","https://openalex.org/W2077942936","https://openalex.org/W2307389737","https://openalex.org/W2338025117","https://openalex.org/W2461729787","https://openalex.org/W2488793338","https://openalex.org/W2604493927","https://openalex.org/W2768753204","https://openalex.org/W2811058982","https://openalex.org/W2898375427","https://openalex.org/W2910029951","https://openalex.org/W2912859364","https://openalex.org/W2926209221","https://openalex.org/W2932272844","https://openalex.org/W2946143177","https://openalex.org/W2990909245","https://openalex.org/W3000384844","https://openalex.org/W3004464175","https://openalex.org/W3006019444","https://openalex.org/W3016541735","https://openalex.org/W3049505648","https://openalex.org/W3082894964","https://openalex.org/W3085394167","https://openalex.org/W3095770430","https://openalex.org/W3157498475","https://openalex.org/W3190076951","https://openalex.org/W3216575363","https://openalex.org/W4221016835"],"related_works":["https://openalex.org/W2089544495","https://openalex.org/W2079003682","https://openalex.org/W1555021777","https://openalex.org/W2913266608","https://openalex.org/W1820289435","https://openalex.org/W1927135183","https://openalex.org/W2890436937","https://openalex.org/W1596300871","https://openalex.org/W3090190000","https://openalex.org/W1921971915"],"abstract_inverted_index":{"In":[0,42],"the":[1,6,17,23,36,54,63,69,78,88,95,99,103,117,126,133,152,157,171],"realm":[2],"of":[3,8,20,25,38,58,66,72,98,161,175],"industrial":[4],"production,":[5],"condition":[7],"motors":[9],"tends":[10],"to":[11,86],"deteriorate":[12],"gradually":[13],"over":[14],"time.":[15],"Among":[16],"various":[18],"types":[19],"motor":[21,39],"faults,":[22],"selection":[24],"appropriate":[26],"diagnostic":[27,127],"techniques":[28],"stands":[29],"out":[30],"as":[31],"a":[32,47,108],"pivotal":[33],"step":[34],"in":[35],"process":[37],"fault":[40,48,162],"identification.":[41],"this":[43],"article,":[44],"we":[45],"introduce":[46],"diagnosis":[49],"framework":[50,128],"aimed":[51],"at":[52],"enhancing":[53,170],"precision":[55,172],"and":[56,121,147,173],"efficiency":[57,174],"diagnostics":[59],"by":[60,94,131],"perceptually":[61],"matching":[62,132],"time\u2013frequency":[64,79,96,159],"features":[65],"data":[67,104,139],"with":[68,137,143],"sensory":[70],"fields":[71,136],"convolutional":[73],"neural":[74],"networks":[75],"(CNNs).":[76],"First,":[77],"swing":[80],"door":[81],"algorithm":[82],"(TF-SDA)":[83],"is":[84,129],"proposed":[85,153],"determine":[87],"optimal":[89,158],"signal":[90],"compression":[91,148],"ratio,":[92],"guided":[93],"attributes":[97],"original":[100],"data.":[101],"Subsequently,":[102],"are":[105],"transformed":[106],"into":[107],"two-dimensional":[109],"image":[110,113],"using":[111],"temporal":[112],"conversion":[114],"methodologies,":[115],"specifically":[116],"Gramian":[118],"angular":[119],"field":[120],"symmetrized":[122],"dot":[123],"pattern.":[124],"Finally,":[125],"realized":[130],"CNN":[134],"receptive":[135],"TF-SDA":[138],"features.":[140],"Comparative":[141],"analysis":[142],"other":[144],"state-of-the-art":[145],"methods":[146],"algorithms":[149],"reveals":[150],"that":[151],"approach":[154],"effectively":[155],"isolates":[156],"components":[160],"characteristics":[163],"while":[164],"eliminating":[165],"extraneous":[166],"elements,":[167],"thus":[168],"substantially":[169],"multifault":[176],"diagnosis.":[177]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":4}],"updated_date":"2026-06-20T22:02:38.213706","created_date":"2025-10-10T00:00:00"}