{"id":"https://openalex.org/W3119509403","doi":"https://doi.org/10.3390/sym13010104","title":"Induction Motor Multiclass Fault Diagnosis Based on Mean Impact Value and PSO-BPNN","display_name":"Induction Motor Multiclass Fault Diagnosis Based on Mean Impact Value and PSO-BPNN","publication_year":2021,"publication_date":"2021-01-08","ids":{"openalex":"https://openalex.org/W3119509403","doi":"https://doi.org/10.3390/sym13010104","mag":"3119509403"},"language":"en","primary_location":{"id":"doi:10.3390/sym13010104","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13010104","pdf_url":"https://www.mdpi.com/2073-8994/13/1/104/pdf?version=1610110528","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/13/1/104/pdf?version=1610110528","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036689222","display_name":"Chun\u2010Yao Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chun-Yao Lee","raw_affiliation_strings":["Department of Electrical Engineering, Chung Yuan Christian University, No. 200, Zhongbei Road, Zhongli District, Taoyuan City 320, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chung Yuan Christian University, No. 200, Zhongbei Road, Zhongli District, Taoyuan City 320, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056397323","display_name":"Hong-Yi Ou","orcid":null},"institutions":[{"id":"https://openalex.org/I151221077","display_name":"Chung Yuan Christian University","ror":"https://ror.org/02w8ws377","country_code":"TW","type":"education","lineage":["https://openalex.org/I151221077"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hong-Yi Ou","raw_affiliation_strings":["Department of Electrical Engineering, Chung Yuan Christian University, No. 200, Zhongbei Road, Zhongli District, Taoyuan City 320, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical Engineering, Chung Yuan Christian University, No. 200, Zhongbei Road, Zhongli District, Taoyuan City 320, Taiwan","institution_ids":["https://openalex.org/I151221077"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5036689222"],"corresponding_institution_ids":["https://openalex.org/I151221077"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.2489,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":{"value":0.7834525,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"13","issue":"1","first_page":"104","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9991999864578247,"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":0.9991999864578247,"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/T12254","display_name":"Machine Learning in Bioinformatics","score":0.9728999733924866,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9592000246047974,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7702864408493042},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.7465628981590271},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6623551249504089},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6344985961914062},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5987686514854431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.552773118019104},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5287194848060608},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4402417540550232},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4249008297920227},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3191773593425751}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7702864408493042},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.7465628981590271},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6623551249504089},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6344985961914062},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5987686514854431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.552773118019104},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5287194848060608},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4402417540550232},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4249008297920227},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3191773593425751},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym13010104","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13010104","pdf_url":"https://www.mdpi.com/2073-8994/13/1/104/pdf?version=1610110528","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7fb084b47277433888296b9e272ee933","is_oa":true,"landing_page_url":"https://doaj.org/article/7fb084b47277433888296b9e272ee933","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry, Vol 13, Iss 1, p 104 (2021)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/13/1/104/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym13010104","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym13010104","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym13010104","pdf_url":"https://www.mdpi.com/2073-8994/13/1/104/pdf?version=1610110528","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3119509403.pdf","grobid_xml":"https://content.openalex.org/works/W3119509403.grobid-xml"},"referenced_works_count":28,"referenced_works":["https://openalex.org/W1516709992","https://openalex.org/W1967965118","https://openalex.org/W1984669710","https://openalex.org/W1987591401","https://openalex.org/W2002012789","https://openalex.org/W2004039783","https://openalex.org/W2017337590","https://openalex.org/W2026628482","https://openalex.org/W2035009069","https://openalex.org/W2076885086","https://openalex.org/W2091752829","https://openalex.org/W2100218807","https://openalex.org/W2104057454","https://openalex.org/W2117653088","https://openalex.org/W2158642626","https://openalex.org/W2171037402","https://openalex.org/W2243550199","https://openalex.org/W2263083964","https://openalex.org/W2291264318","https://openalex.org/W2507423952","https://openalex.org/W2774063243","https://openalex.org/W2811393534","https://openalex.org/W2902511954","https://openalex.org/W2904970436","https://openalex.org/W2963811229","https://openalex.org/W2978077076","https://openalex.org/W3007840160","https://openalex.org/W6678212663"],"related_works":["https://openalex.org/W3019402777","https://openalex.org/W2031835531","https://openalex.org/W2388590088","https://openalex.org/W4386596916","https://openalex.org/W1969166468","https://openalex.org/W2097519318","https://openalex.org/W2116377213","https://openalex.org/W2122371747","https://openalex.org/W2069224524","https://openalex.org/W2378894046"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,63,89,121,142],"feature":[4,64,90,117,130],"selection":[5,65,118,131],"model":[6,107,132],"based":[7,133],"on":[8,20,134],"mean":[9],"impact":[10],"value":[11],"(MIV)":[12],"to":[13,39,53,75,144],"solve":[14],"induction":[15],"motor":[16],"(IM)":[17],"fault":[18,56,101,156],"diagnosis":[19,57,102],"the":[21,41,47,77,84,94,100,106,129,138,154,161],"current":[22,42,95],"signal.":[23],"In":[24,159],"this":[25,50,60,116],"paper,":[26],"particle":[27],"swarm":[28],"optimization":[29],"(PSO)":[30],"is":[31,52,68,74,103,123,166,170],"combined":[32],"with":[33],"back":[34],"propagation":[35],"neural":[36],"network":[37],"(BPNN)":[38],"classify":[40],"signal":[43,96,143],"of":[44,49,70,79,97,108,147,164],"IM.":[45],"First,":[46],"purpose":[48],"study":[51,61],"establish":[54],"IM":[55,155],"system.":[58],"Additionally,":[59],"proposes":[62],"process":[66,119],"that":[67,128],"composed":[69],"MIV,":[71],"whose":[72],"objective":[73],"reduce":[76],"number":[78],"classifier":[80,122],"input":[81],"features.":[82],"Secondly,":[83],"features":[85,112,139],"are":[86,113],"extracted":[87],"as":[88],"database":[91],"after":[92],"analyzing":[93],"IM,":[98],"and":[99,120,150],"established":[104],"through":[105,115],"PSO-BPNN.":[109],"Finally,":[110],"redundant":[111],"deleted":[114],"built.":[124],"The":[125],"result":[126],"shows":[127],"MIV":[135],"can":[136],"filter":[137],"effectively":[140],"at":[141],"noise":[145],"ratio":[146],"30":[148],"dB":[149,152],"20":[151],"for":[153,172],"detection":[157],"problem.":[158],"addition,":[160],"computing":[162],"time":[163],"BPNN":[165],"also":[167],"reduced":[168],"which":[169],"helpful":[171],"online":[173],"detection.":[174]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}