{"id":"https://openalex.org/W4409362279","doi":"https://doi.org/10.1142/s0218001425500120","title":"Efficient Bearing Fault Diagnosis Using Depthwise Separable Convolution and Transformer with SSA Multi-Objective Optimization","display_name":"Efficient Bearing Fault Diagnosis Using Depthwise Separable Convolution and Transformer with SSA Multi-Objective Optimization","publication_year":2025,"publication_date":"2025-04-11","ids":{"openalex":"https://openalex.org/W4409362279","doi":"https://doi.org/10.1142/s0218001425500120"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425500120","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425500120","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","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/A5019086832","display_name":"Fang Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135980","display_name":"Huainan Normal University","ror":"https://ror.org/03n7a5z57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135980"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Fang Han","raw_affiliation_strings":["College of Mechanical & Electrical Engineering, Huainan Normal University, Huainan, Anhui 232038, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0004-9388-1966","affiliations":[{"raw_affiliation_string":"College of Mechanical & Electrical Engineering, Huainan Normal University, Huainan, Anhui 232038, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210135980"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yuqin Zhu","orcid":"https://orcid.org/0009-0003-3715-6690"},"institutions":[{"id":"https://openalex.org/I4210135980","display_name":"Huainan Normal University","ror":"https://ror.org/03n7a5z57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135980"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuqin Zhu","raw_affiliation_strings":["College of Mechanical & Electrical Engineering, Huainan Normal University, Huainan, Anhui 232038, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0009-0003-3715-6690","affiliations":[{"raw_affiliation_string":"College of Mechanical & Electrical Engineering, Huainan Normal University, Huainan, Anhui 232038, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210135980"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113343142","display_name":"Wenyan Nie","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135980","display_name":"Huainan Normal University","ror":"https://ror.org/03n7a5z57","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210135980"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyan Nie","raw_affiliation_strings":["College of Mechanical & Electrical Engineering, Huainan Normal University, Huainan, Anhui 232038, P.\u00a0R.\u00a0China"],"raw_orcid":"https://orcid.org/0000-0002-7407-5537","affiliations":[{"raw_affiliation_string":"College of Mechanical & Electrical Engineering, Huainan Normal University, Huainan, Anhui 232038, P.\u00a0R.\u00a0China","institution_ids":["https://openalex.org/I4210135980"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5019086832"],"corresponding_institution_ids":["https://openalex.org/I4210135980"],"apc_list":null,"apc_paid":null,"fwci":1.9517,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.85040238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"39","issue":"09","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.989799976348877,"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":0.989799976348877,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9872999787330627,"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/T14158","display_name":"Optical Systems and Laser Technology","score":0.9818999767303467,"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/bearing","display_name":"Bearing (navigation)","score":0.663494348526001},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6591395139694214},{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.6237876415252686},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.5467866063117981},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.527778148651123},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5096499919891357},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5023255348205566},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42596665024757385},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4076184630393982},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33504781126976013},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18636128306388855},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14900541305541992},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.144785076379776},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.12218350172042847},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.08147019147872925}],"concepts":[{"id":"https://openalex.org/C199978012","wikidata":"https://www.wikidata.org/wiki/Q1273815","display_name":"Bearing (navigation)","level":2,"score":0.663494348526001},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6591395139694214},{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.6237876415252686},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.5467866063117981},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.527778148651123},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5096499919891357},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5023255348205566},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42596665024757385},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4076184630393982},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33504781126976013},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18636128306388855},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14900541305541992},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.144785076379776},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.12218350172042847},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.08147019147872925},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"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":1,"locations":[{"id":"doi:10.1142/s0218001425500120","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425500120","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G4811370013","display_name":null,"funder_award_id":"2024HX352","funder_id":"https://openalex.org/F4320336641","funder_display_name":"Cultivation Fund of the Key Scientific and Technical Innovation Project, Ministry of Education of China"},{"id":"https://openalex.org/G6179252840","display_name":null,"funder_award_id":"2023XJZD022","funder_id":"https://openalex.org/F8048976951","funder_display_name":"Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation"}],"funders":[{"id":"https://openalex.org/F4320336641","display_name":"Cultivation Fund of the Key Scientific and Technical Innovation Project, Ministry of Education of China","ror":null},{"id":"https://openalex.org/F8048976951","display_name":"Guangxi Key Laboratory of Earth Surface Processes and Intelligent Simulation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W2955667633","https://openalex.org/W2994646784","https://openalex.org/W2997838925","https://openalex.org/W3000586467","https://openalex.org/W3118096520","https://openalex.org/W3120617647","https://openalex.org/W4401615170","https://openalex.org/W4403537350"],"related_works":["https://openalex.org/W2530952058","https://openalex.org/W2582836483","https://openalex.org/W4299366318","https://openalex.org/W3158431807","https://openalex.org/W4297580547","https://openalex.org/W2951583185","https://openalex.org/W2531409750","https://openalex.org/W2575656761","https://openalex.org/W2065631063","https://openalex.org/W4308155352"],"abstract_inverted_index":{"To":[0],"tackle":[1],"the":[2,27,84,93,117],"challenges":[3],"of":[4],"computational":[5,42],"overhead":[6],"and":[7,61,74,111],"reliance":[8],"on":[9,83],"manual":[10],"hyperparameter":[11],"tuning":[12],"in":[13,44,54,101],"bearing":[14,90],"fault":[15],"diagnosis":[16],"models,":[17],"this":[18],"study":[19],"presents":[20],"an":[21],"optimized":[22],"DSCNN-Transformer":[23],"framework":[24,34],"enhanced":[25],"by":[26],"Sparrow":[28],"Search":[29],"Algorithm":[30],"(SSA).":[31],"The":[32,47],"proposed":[33],"employs":[35],"Depthwise":[36],"Separable":[37],"Convolution":[38],"(DSCNN)":[39],"significantly":[40],"mitigating":[41],"costs":[43],"resource-limited":[45],"setups.":[46],"Transformer":[48],"module":[49],"captures":[50],"intricate":[51],"global":[52],"dependencies":[53],"time-series":[55],"data":[56],"to":[57],"boost":[58],"feature":[59],"representation":[60],"diagnostic":[62],"accuracy.":[63],"A":[64],"novel":[65],"multi-objective":[66],"optimization":[67],"strategy":[68],"utilizing":[69],"SSA":[70],"balances":[71],"classification":[72,104],"precision":[73],"parameter":[75],"efficiency":[76,110],"through":[77],"dynamic":[78],"weight":[79],"adjustments.":[80],"Experimental":[81],"validation":[82],"Case":[85],"Western":[86],"Reserve":[87],"University":[88],"(CWRU)":[89],"dataset":[91],"highlights":[92],"model\u2019s":[94,118],"outstanding":[95],"performance,":[96],"achieving":[97],"a":[98,102],"99.55%":[99],"accuracy":[100],"10-class":[103],"task,":[105],"coupled":[106],"with":[107],"excellent":[108],"real-time":[109],"adaptability.":[112],"Future":[113],"efforts":[114],"will":[115],"optimize":[116],"lightweight":[119],"design":[120],"further,":[121],"especially":[122],"targeting":[123],"edge":[124],"computing":[125],"applications.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
