{"id":"https://openalex.org/W4406416777","doi":"https://doi.org/10.1109/tim.2025.3529071","title":"Feature Entropy Recognition Based on Dual-Channel Multiscale 1DCNN Model for Intelligent Compound Fault Diagnosis of Bearings","display_name":"Feature Entropy Recognition Based on Dual-Channel Multiscale 1DCNN Model for Intelligent Compound Fault Diagnosis of Bearings","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406416777","doi":"https://doi.org/10.1109/tim.2025.3529071"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3529071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3529071","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5100388475","display_name":"Chunlin Li","orcid":"https://orcid.org/0000-0001-6268-6560"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunlin Li","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-6268-6560","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087432572","display_name":"Qintai Hu","orcid":"https://orcid.org/0000-0003-3199-2631"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qintai Hu","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-3199-2631","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077521135","display_name":"Jianbin Xiong","orcid":"https://orcid.org/0000-0002-2253-5546"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianbin Xiong","raw_affiliation_strings":["School of Automation, Guangdong Polytechnic Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2253-5546","affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031552866","display_name":"Siyuan Ma","orcid":"https://orcid.org/0000-0002-0323-7228"},"institutions":[{"id":"https://openalex.org/I4210122543","display_name":"Guangdong Polytechnic Normal University","ror":"https://ror.org/02pcb5m77","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210122543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Ma","raw_affiliation_strings":["School of Electronic and Information, Guangdong Polytechnic Normal University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-0323-7228","affiliations":[{"raw_affiliation_string":"School of Electronic and Information, Guangdong Polytechnic Normal University, Guangzhou, China","institution_ids":["https://openalex.org/I4210122543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.1138,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.95811966,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9976999759674072,"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":0.9976999759674072,"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":0.9890999794006348,"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"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9843999743461609,"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6265535950660706},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.6024538278579712},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5453526377677917},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.4816250205039978},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4734385013580322},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.454496294260025},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4389907121658325},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3523256182670593},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32843393087387085},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.15267634391784668}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6265535950660706},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.6024538278579712},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5453526377677917},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.4816250205039978},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4734385013580322},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.454496294260025},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4389907121658325},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3523256182670593},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32843393087387085},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.15267634391784668},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3529071","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3529071","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1323137518","display_name":null,"funder_award_id":"U22A20221","funder_id":"https://openalex.org/F4320321921","funder_display_name":"Natural Science Foundation of Guangdong Province"},{"id":"https://openalex.org/G3300841752","display_name":null,"funder_award_id":"62073090","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6196951211","display_name":null,"funder_award_id":"MESTA-2022-B001","funder_id":"https://openalex.org/F4320336696","funder_display_name":"Laboratory for Marine Ecology and Environmental Science"},{"id":"https://openalex.org/G636105823","display_name":null,"funder_award_id":"62237001","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/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320336696","display_name":"Laboratory for Marine Ecology and Environmental Science","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W1521862445","https://openalex.org/W1995875735","https://openalex.org/W1998727969","https://openalex.org/W2021938316","https://openalex.org/W2029956212","https://openalex.org/W2059851411","https://openalex.org/W2093266575","https://openalex.org/W2120390927","https://openalex.org/W2551393996","https://openalex.org/W2601590138","https://openalex.org/W2761138482","https://openalex.org/W2765317657","https://openalex.org/W2767234670","https://openalex.org/W2768753204","https://openalex.org/W2783323081","https://openalex.org/W2887782657","https://openalex.org/W2900367617","https://openalex.org/W2959675909","https://openalex.org/W2982438846","https://openalex.org/W2989818023","https://openalex.org/W2998780022","https://openalex.org/W3011208721","https://openalex.org/W3042807565","https://openalex.org/W3081032406","https://openalex.org/W3119945407","https://openalex.org/W3120487494","https://openalex.org/W3136038792","https://openalex.org/W3153299910","https://openalex.org/W3159622438","https://openalex.org/W4225571513","https://openalex.org/W4225942666","https://openalex.org/W4291222285","https://openalex.org/W4302773336","https://openalex.org/W4309632343","https://openalex.org/W4309724987","https://openalex.org/W4313681627","https://openalex.org/W4323047318","https://openalex.org/W4365790141","https://openalex.org/W4367146864","https://openalex.org/W4377030229","https://openalex.org/W4388962430","https://openalex.org/W4389776351","https://openalex.org/W4392567244","https://openalex.org/W6840726259"],"related_works":["https://openalex.org/W2317351040","https://openalex.org/W2952466936","https://openalex.org/W1988622314","https://openalex.org/W2393949104","https://openalex.org/W4236344264","https://openalex.org/W3046201198","https://openalex.org/W4293061921","https://openalex.org/W2807441102","https://openalex.org/W2009424630","https://openalex.org/W2372693287"],"abstract_inverted_index":{"Accurately":[0],"implementing":[1],"compound":[2,26,161,202],"fault":[3,27,122,149,162],"diagnosis":[4,28],"for":[5,25,148,200],"bearings":[6,165],"is":[7,57,89,114,157],"of":[8,99,135,164,171],"great":[9],"significance.":[10],"This":[11,59],"article":[12],"proposes":[13],"an":[14,49],"optimized":[15],"feature":[16],"entropy":[17,73],"extraction":[18],"method":[19,56,60,156,195],"and":[20,63,68,96,109,151,204],"a":[21,80,107,132,160],"novel":[22],"recognition":[23],"network":[24,86],"in":[29,38],"bearings.":[30],"First,":[31],"to":[32,116,130],"address":[33],"the":[34,65,76,97,154,168,194],"high":[35,44],"noise":[36],"issue":[37],"intrinsic":[39],"mode":[40,53],"functions":[41],"(IMFs)":[42],"with":[43,102,176],"correlation":[45],"during":[46],"modal":[47,72],"decomposition,":[48],"improved":[50],"ensemble":[51],"empirical":[52],"decomposition":[54],"(I-EEMD)":[55],"proposed.":[58],"selects,":[61],"filters,":[62],"recombines":[64],"decomposed":[66],"IMFs,":[67],"then":[69],"extracts":[70],"multiscale":[71,82,93],"(MSME)":[74],"from":[75,120,146,181],"recombined":[77],"IMFs.":[78],"Subsequently,":[79],"dual-channel":[81],"1-D":[83],"convolutional":[84],"neural":[85],"(DCMS1DCNN)":[87],"model":[88,113],"proposed,":[90],"based":[91],"on":[92,189],"blocks":[94],"(MS-blocks)":[95],"concept":[98],"residual":[100],"networks,":[101],"convolution":[103,127],"kernels":[104],"determined":[105],"by":[106,167],"simple":[108],"universal":[110],"rule.":[111],"The":[112,185],"designed":[115],"recognize":[117],"MSMEs":[118],"extracted":[119,145],"mechanical":[121],"signals.":[123],"By":[124],"adaptively":[125],"adjusting":[126],"kernel":[128],"parameters":[129],"cover":[131],"broader":[133],"range":[134],"receptive":[136],"field":[137],"(RF)":[138],"sizes,":[139],"DCMS1DCNN":[140],"can":[141],"utilize":[142],"deeper":[143],"features":[144],"MSME":[147],"classification":[150],"localization.":[152],"Finally,":[153],"proposed":[155],"validated":[158],"using":[159],"dataset":[163],"provided":[166],"Key":[169],"Laboratory":[170],"Guangdong":[172],"Petrochemical":[173],"Institute,":[174],"along":[175],"multiple":[177],"single-fault":[178],"datasets":[179,191],"obtained":[180],"various":[182],"literature":[183],"sources.":[184],"experimental":[186],"evaluations":[187],"conducted":[188],"these":[190],"demonstrate":[192],"that":[193],"exhibits":[196],"excellent":[197],"diagnostic":[198],"performance":[199],"both":[201],"faults":[203],"single":[205],"faults.":[206]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":4}],"updated_date":"2026-07-26T07:53:14.480251","created_date":"2025-10-10T00:00:00"}
