{"id":"https://openalex.org/W4402760792","doi":"https://doi.org/10.3390/e26090810","title":"Motor Fault Diagnosis Based on Convolutional Block Attention Module-Xception Lightweight Neural Network","display_name":"Motor Fault Diagnosis Based on Convolutional Block Attention Module-Xception Lightweight Neural Network","publication_year":2024,"publication_date":"2024-09-23","ids":{"openalex":"https://openalex.org/W4402760792","doi":"https://doi.org/10.3390/e26090810","pmid":"https://pubmed.ncbi.nlm.nih.gov/39330143"},"language":"en","primary_location":{"id":"doi:10.3390/e26090810","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26090810","pdf_url":"https://www.mdpi.com/1099-4300/26/9/810/pdf?version=1727090274","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"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":"Entropy","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/1099-4300/26/9/810/pdf?version=1727090274","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109484358","display_name":"Fengyun Xie","orcid":null},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fengyun Xie","raw_affiliation_strings":["Life-Cycle Technology Innovation Center of Intelligent Transportation Equipment, Nanchang 330013, China","School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"Life-Cycle Technology Innovation Center of Intelligent Transportation Equipment, Nanchang 330013, China","institution_ids":[]},{"raw_affiliation_string":"School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101222170","display_name":"Qiuyang Fan","orcid":null},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiuyang Fan","raw_affiliation_strings":["School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100438653","display_name":"Gang Li","orcid":"https://orcid.org/0000-0001-9585-1382"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Li","raw_affiliation_strings":["School of New Energy, Ningbo University of Technology, Ningbo 315211, China"],"affiliations":[{"raw_affiliation_string":"School of New Energy, Ningbo University of Technology, Ningbo 315211, China","institution_ids":["https://openalex.org/I159389169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036563166","display_name":"Yang Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Wang","raw_affiliation_strings":["School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111056189","display_name":"Enguang Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enguang Sun","raw_affiliation_strings":["School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060003689","display_name":"Shengtong Zhou","orcid":"https://orcid.org/0000-0002-0525-5235"},"institutions":[{"id":"https://openalex.org/I13985625","display_name":"East China Jiaotong University","ror":"https://ror.org/05x2f1m38","country_code":"CN","type":"education","lineage":["https://openalex.org/I13985625"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengtong Zhou","raw_affiliation_strings":["Life-Cycle Technology Innovation Center of Intelligent Transportation Equipment, Nanchang 330013, China","School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China"],"affiliations":[{"raw_affiliation_string":"Life-Cycle Technology Innovation Center of Intelligent Transportation Equipment, Nanchang 330013, China","institution_ids":[]},{"raw_affiliation_string":"School of Mechanical Electrical and Vehicle Engineering, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]},{"raw_affiliation_string":"State Key Laboratory of Performance Monitoring Protecting of Rail Transit Infrastructure, East China Jiaotong University, Nanchang 330013, China","institution_ids":["https://openalex.org/I13985625"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5109484358"],"corresponding_institution_ids":["https://openalex.org/I13985625"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":1.5917,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83674985,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"26","issue":"9","first_page":"810","last_page":"810"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9979000091552734,"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":0.9979000091552734,"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/T14319","display_name":"Currency Recognition and Detection","score":0.9448000192642212,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7905012369155884},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7852518558502197},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5190427899360657},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.514400064945221},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5080766677856445},{"id":"https://openalex.org/keywords/vibration","display_name":"Vibration","score":0.5014016628265381},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5006942749023438},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4378037750720978},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.06988018751144409}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7905012369155884},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7852518558502197},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5190427899360657},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.514400064945221},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5080766677856445},{"id":"https://openalex.org/C198394728","wikidata":"https://www.wikidata.org/wiki/Q3695508","display_name":"Vibration","level":2,"score":0.5014016628265381},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5006942749023438},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4378037750720978},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.06988018751144409},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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":4,"locations":[{"id":"doi:10.3390/e26090810","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26090810","pdf_url":"https://www.mdpi.com/1099-4300/26/9/810/pdf?version=1727090274","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"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":"Entropy","raw_type":"journal-article"},{"id":"pmid:39330143","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39330143","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Entropy (Basel, Switzerland)","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11431808","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11431808","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11431808/pdf/entropy-26-00810.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"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":"Entropy (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:27b5efc2031243fe953bed23d04f7c49","is_oa":true,"landing_page_url":"https://doaj.org/article/27b5efc2031243fe953bed23d04f7c49","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Entropy, Vol 26, Iss 9, p 810 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/e26090810","is_oa":true,"landing_page_url":"https://doi.org/10.3390/e26090810","pdf_url":"https://www.mdpi.com/1099-4300/26/9/810/pdf?version=1727090274","source":{"id":"https://openalex.org/S195231649","display_name":"Entropy","issn_l":"1099-4300","issn":["1099-4300"],"is_oa":true,"is_in_doaj":true,"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":"Entropy","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2918597632","display_name":null,"funder_award_id":"52265068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3425285751","display_name":null,"funder_award_id":"2022-02","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8003768560","display_name":null,"funder_award_id":"20224BAB204050","funder_id":"https://openalex.org/F4320322665","funder_display_name":"Natural Science Foundation of Jiangxi Province"},{"id":"https://openalex.org/G8503040901","display_name":null,"funder_award_id":"52065022","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"},{"id":"https://openalex.org/F4320322665","display_name":"Natural Science Foundation of Jiangxi Province","ror":null},{"id":"https://openalex.org/F4320325626","display_name":"Education Department of Jiangxi Province","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4402760792.pdf","grobid_xml":"https://content.openalex.org/works/W4402760792.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W2168826852","https://openalex.org/W2828320654","https://openalex.org/W2910146151","https://openalex.org/W3121163661","https://openalex.org/W3194606760","https://openalex.org/W3200557187","https://openalex.org/W3206609282","https://openalex.org/W3212386989","https://openalex.org/W3217212503","https://openalex.org/W4224324884","https://openalex.org/W4295788789","https://openalex.org/W4312620333","https://openalex.org/W4313377512","https://openalex.org/W4319967914","https://openalex.org/W4322753871","https://openalex.org/W4377691599","https://openalex.org/W4379473286","https://openalex.org/W4383753490","https://openalex.org/W4384298101","https://openalex.org/W4385317820","https://openalex.org/W4385346257","https://openalex.org/W4386028682","https://openalex.org/W4386284120","https://openalex.org/W4387184953","https://openalex.org/W4387614870","https://openalex.org/W4388807360","https://openalex.org/W4388816681","https://openalex.org/W4389538225","https://openalex.org/W4390704725","https://openalex.org/W4392808143","https://openalex.org/W4393214895","https://openalex.org/W6858277296","https://openalex.org/W6863144206"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2016223085","https://openalex.org/W2372829958","https://openalex.org/W2376523010"],"abstract_inverted_index":{"Electric":[0],"motors":[1,13],"play":[2],"a":[3,34,138,194],"crucial":[4],"role":[5],"in":[6,12],"self-driving":[7],"vehicles.":[8,23],"Therefore,":[9],"fault":[10,28,36],"diagnosis":[11,37],"is":[14,69,99,114,137,172,178],"important":[15],"for":[16],"ensuring":[17],"the":[18,44,52,63,73,80,94,102,106,117,121,124,128,153,160,166,168,181,204],"safety":[19],"and":[20,79,105,131,163,174,198,211],"reliability":[21],"of":[22,47,51,65,75,123,127,140,156,165],"In":[24],"order":[25,155],"to":[26,71,89,119],"improve":[27],"detection":[29],"performance,":[30],"this":[31,191],"paper":[32],"proposes":[33],"motor":[35,53,129],"method":[38],"based":[39],"on":[40],"vibration":[41,45,60,82],"signals.":[42],"Firstly,":[43],"signals":[46,83],"each":[48],"operating":[49],"state":[50],"at":[54],"different":[55],"frequencies":[56],"are":[57,84],"measured":[58],"with":[59,180,203],"sensors.":[61],"Secondly,":[62],"characteristic":[64,125],"Gram":[66],"image":[67],"coding":[68,74],"used":[70],"realize":[72,132],"time":[76],"domain":[77],"information,":[78],"one-dimensional":[81],"transformed":[85],"into":[86,116],"grayscale":[87],"diagrams":[88],"highlight":[90],"their":[91,133],"features.":[92],"Finally,":[93],"lightweight":[95,145,183],"neural":[96,142,184],"network":[97],"Xception":[98,136,212],"chosen":[100],"as":[101],"main":[103],"tool,":[104],"attention":[107,170],"mechanism":[108,171],"Convolutional":[109,206],"Block":[110],"Attention":[111],"Module":[112],"(CBAM)":[113],"introduced":[115],"model":[118,192],"enforce":[120],"importance":[122],"information":[126],"faults":[130],"accurate":[134],"identification.":[135],"type":[139],"convolutional":[141],"network;":[143],"its":[144],"design":[146],"maintains":[147],"excellent":[148],"performance":[149],"while":[150],"significantly":[151],"reducing":[152],"model's":[154],"magnitude.":[157],"Without":[158],"affecting":[159],"computational":[161],"complexity":[162],"accuracy":[164],"network,":[167],"CBAM":[169],"added,":[173],"Gram's":[175],"corner":[176],"field":[177],"combined":[179],"improved":[182],"network.":[185],"The":[186],"experimental":[187],"results":[188],"show":[189],"that":[190],"achieves":[193],"better":[195],"recognition":[196],"effect":[197],"faster":[199],"iteration":[200],"speed":[201],"compared":[202],"traditional":[205],"Neural":[207],"Network":[208],"(CNN),":[209],"ResNet,":[210],"networks.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-18T07:56:08.524223","created_date":"2025-10-10T00:00:00"}
