{"id":"https://openalex.org/W4405336529","doi":"https://doi.org/10.32604/cmc.2024.058785","title":"SEFormer: A Lightweight CNN-Transformer Based on Separable Multiscale Depthwise Convolution and Efficient Self-Attention for Rotating Machinery Fault Diagnosis","display_name":"SEFormer: A Lightweight CNN-Transformer Based on Separable Multiscale Depthwise Convolution and Efficient Self-Attention for Rotating Machinery Fault Diagnosis","publication_year":2024,"publication_date":"2024-12-12","ids":{"openalex":"https://openalex.org/W4405336529","doi":"https://doi.org/10.32604/cmc.2024.058785"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2024.058785","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2024.058785","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-82-1/TSP_CMC_58785/TSP_CMC_58785.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-82-1/TSP_CMC_58785/TSP_CMC_58785.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100732822","display_name":"Hongxing Wang","orcid":"https://orcid.org/0000-0001-7799-1023"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hongxing Wang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100518730","display_name":"Zhu Hua","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hua Zhu","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101949908","display_name":"Huafeng Li","orcid":"https://orcid.org/0009-0006-3304-8635"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huafeng Li","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5115500950","display_name":"Xilai Ju","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xilai Ju","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100732822"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1734,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.92396635,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"82","issue":"1","first_page":"1417","last_page":"1437"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9871000051498413,"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":0.9871000051498413,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9786999821662903,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9765999913215637,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/separable-space","display_name":"Separable space","score":0.7045364379882812},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6725749373435974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5944740176200867},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5937972068786621},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.48972514271736145},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32494670152664185},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3194677233695984},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24081644415855408},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20908698439598083},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.13716694712638855},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.07607299089431763},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.07309409976005554},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.0677608847618103},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.043164581060409546}],"concepts":[{"id":"https://openalex.org/C70710897","wikidata":"https://www.wikidata.org/wiki/Q680081","display_name":"Separable space","level":2,"score":0.7045364379882812},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6725749373435974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5944740176200867},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5937972068786621},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.48972514271736145},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32494670152664185},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3194677233695984},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24081644415855408},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20908698439598083},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.13716694712638855},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.07607299089431763},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.07309409976005554},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0677608847618103},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.043164581060409546},{"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:10.32604/cmc.2024.058785","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2024.058785","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-82-1/TSP_CMC_58785/TSP_CMC_58785.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2024.058785","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2024.058785","pdf_url":"https://cdn.techscience.press/files/cmc/2025/TSP_CMC-82-1/TSP_CMC_58785/TSP_CMC_58785.pdf","source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Climate action","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/13"}],"awards":[{"id":"https://openalex.org/G7417003958","display_name":null,"funder_award_id":"52277055","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405336529.pdf","grobid_xml":"https://content.openalex.org/works/W4405336529.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W2010619950","https://openalex.org/W2255388164","https://openalex.org/W2908510526","https://openalex.org/W2973424371","https://openalex.org/W2998506103","https://openalex.org/W3009370740","https://openalex.org/W4200049650","https://openalex.org/W4200473862","https://openalex.org/W4206258998","https://openalex.org/W4284881463","https://openalex.org/W4293811858","https://openalex.org/W4295886387","https://openalex.org/W4297775537","https://openalex.org/W4303710087","https://openalex.org/W4304693959","https://openalex.org/W4312695356","https://openalex.org/W4313178218","https://openalex.org/W4320459518","https://openalex.org/W4328098866","https://openalex.org/W4386193242","https://openalex.org/W4388923662","https://openalex.org/W4391554780","https://openalex.org/W4401732332","https://openalex.org/W6640090378","https://openalex.org/W6687483927","https://openalex.org/W6728184133","https://openalex.org/W6739901393","https://openalex.org/W6749781174","https://openalex.org/W6757061866","https://openalex.org/W6771571646","https://openalex.org/W6782837628","https://openalex.org/W6796931752","https://openalex.org/W6797118913","https://openalex.org/W6806945698","https://openalex.org/W6839418665","https://openalex.org/W6842834869","https://openalex.org/W6848820159","https://openalex.org/W6850752427","https://openalex.org/W6855038033"],"related_works":["https://openalex.org/W2051487156","https://openalex.org/W2073681303","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/W4308155352"],"abstract_inverted_index":{"Traditional":[0],"data-driven":[1],"fault":[2,13],"diagnosis":[3],"methods":[4],"depend":[5],"on":[6,39],"expert":[7],"experience":[8],"to":[9],"manually":[10],"extract":[11],"effective":[12],"features":[14],"of":[15],"signals,":[16],"which":[17],"has":[18],"certain":[19],"limitations.":[20],"Conversely,":[21],"deep":[22],"learning":[23],"techniques":[24],"have":[25],"gained":[26],"prominence":[27],"a...":[28],"|":[29],"Find,":[30],"read":[31],"and":[32],"cite":[33],"all":[34],"the":[35],"research":[36],"you":[37],"need":[38],"Tech":[40],"Science":[41],"Press":[42]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
