{"id":"https://openalex.org/W4381744418","doi":"https://doi.org/10.1109/cscwd57460.2023.10152598","title":"A Novel Bearing Fault Diagnosis Method based on Stacked Autoencoder and End-edge Collaboration","display_name":"A Novel Bearing Fault Diagnosis Method based on Stacked Autoencoder and End-edge Collaboration","publication_year":2023,"publication_date":"2023-05-24","ids":{"openalex":"https://openalex.org/W4381744418","doi":"https://doi.org/10.1109/cscwd57460.2023.10152598"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd57460.2023.10152598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd57460.2023.10152598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-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/A5059256963","display_name":"Chen Yang","orcid":"https://orcid.org/0000-0002-3863-5832"},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chen Yang","raw_affiliation_strings":["Beijing Institute of Technology,School of Cyberspace Science and Technology,Beijing,P.R.China","School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, P.R.China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Cyberspace Science and Technology,Beijing,P.R.China","institution_ids":["https://openalex.org/I202334528","https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, P.R.China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103069924","display_name":"Zou Lai","orcid":"https://orcid.org/0000-0001-7796-9870"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zou Lai","raw_affiliation_strings":["Beijing Institute of Technology,School of Cyberspace Science and Technology,Beijing,P.R.China","School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, P.R.China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Cyberspace Science and Technology,Beijing,P.R.China","institution_ids":["https://openalex.org/I202334528","https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, P.R.China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101867156","display_name":"Yingchao Wang","orcid":"https://orcid.org/0000-0003-2037-7465"},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingchao Wang","raw_affiliation_strings":["Beijing Institute of Technology,School of Cyberspace Science and Technology,Beijing,P.R.China","School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, P.R.China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Cyberspace Science and Technology,Beijing,P.R.China","institution_ids":["https://openalex.org/I202334528","https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, P.R.China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003912775","display_name":"Shulin Lan","orcid":"https://orcid.org/0000-0001-5234-0830"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shulin Lan","raw_affiliation_strings":["University of Chinese Academy of Science,School of Economics and Management,Beijing,P.R.China","School of Economics and Management, University of Chinese Academy of Science, Beijing, P.R.China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Science,School of Economics and Management,Beijing,P.R.China","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"School of Economics and Management, University of Chinese Academy of Science, Beijing, P.R.China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100434965","display_name":"Lihui Wang","orcid":"https://orcid.org/0000-0001-8679-8049"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Lihui Wang","raw_affiliation_strings":["KTH Royal Institute of Technology,Department of Production Engineering,Stockholm,Sweden","Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"KTH Royal Institute of Technology,Department of Production Engineering,Stockholm,Sweden","institution_ids":["https://openalex.org/I86987016"]},{"raw_affiliation_string":"Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100634361","display_name":"Liehuang Zhu","orcid":"https://orcid.org/0000-0003-3277-3887"},"institutions":[{"id":"https://openalex.org/I202334528","display_name":"Beijing Electronic Science and Technology Institute","ror":"https://ror.org/01xdzh226","country_code":"CN","type":"education","lineage":["https://openalex.org/I202334528"]},{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liehuang Zhu","raw_affiliation_strings":["Beijing Institute of Technology,School of Cyberspace Science and Technology,Beijing,P.R.China","School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, P.R.China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology,School of Cyberspace Science and Technology,Beijing,P.R.China","institution_ids":["https://openalex.org/I202334528","https://openalex.org/I125839683"]},{"raw_affiliation_string":"School of Cyberspace Science and Technology, Beijing Institute of Technology, Beijing, P.R.China","institution_ids":["https://openalex.org/I125839683"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5059256963"],"corresponding_institution_ids":["https://openalex.org/I125839683","https://openalex.org/I202334528"],"apc_list":null,"apc_paid":null,"fwci":0.9407,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74333487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"393","last_page":"398"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9326000213623047,"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":0.9326000213623047,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9323999881744385,"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/autoencoder","display_name":"Autoencoder","score":0.7970412373542786},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7054163217544556},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6148204803466797},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.60425865650177},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5887990593910217},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5709524154663086},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5133203864097595},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4534792900085449},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4361017942428589},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.4193054139614105},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.36411818861961365},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.32579177618026733},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.323361337184906},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.13347256183624268}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7970412373542786},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7054163217544556},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6148204803466797},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.60425865650177},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5887990593910217},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5709524154663086},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5133203864097595},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4534792900085449},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4361017942428589},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.4193054139614105},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.36411818861961365},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.32579177618026733},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.323361337184906},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.13347256183624268},{"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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd57460.2023.10152598","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd57460.2023.10152598","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4399999976158142,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4313339048","https://openalex.org/W4386004629","https://openalex.org/W3176734149","https://openalex.org/W3201779876","https://openalex.org/W3113627641","https://openalex.org/W4238142035","https://openalex.org/W2918879532","https://openalex.org/W2885461866","https://openalex.org/W3191964704","https://openalex.org/W2901937988"],"abstract_inverted_index":{"The":[0,89,131],"deep":[1,48],"learning":[2,49],"based":[3,127,142],"fault":[4,68,140,172,186],"diagnosis":[5,69,81,141,187],"methods":[6],"show":[7],"excellent":[8],"performance.":[9,88],"However,":[10,45],"cost":[11],"and":[12,35,38,104,122,151,167],"delay":[13],"factors":[14],"make":[15,106],"it":[16],"difficult":[17],"for":[18,110,170],"their":[19],"widespread":[20],"industrial":[21,27],"application.":[22],"Microcontroller":[23],"units":[24],"(MCUs)":[25],"in":[26,54,164],"equipment":[28],"have":[29,40],"the":[30,76,83,100,107,114,118,137,148,157,179,184,191],"advantages":[31],"of":[32,99,117],"real-time":[33,73],"response":[34],"high":[36],"reliability":[37],"usually":[39],"some":[41],"redundant":[42],"computational":[43,60],"resource.":[44],"even":[46],"lightweight":[47],"models":[50],"cannot":[51],"be":[52],"deployed":[53],"MCUs":[55],"due":[56],"to":[57,85,105],"severely":[58],"limited":[59],"resources.":[61],"This":[62],"paper":[63],"proposes":[64],"an":[65],"end-edge":[66],"collaborative":[67,152],"framework,":[70],"by":[71,194],"combining":[72],"decision-making":[74],"at":[75,82],"end":[77],"with":[78],"dynamic":[79,180],"adaptive":[80,181],"edge":[84,192],"improve":[86],"inference":[87],"model\u2019s":[90],"minimum":[91],"input":[92],"size":[93,166],"is":[94],"deduced":[95],"through":[96],"theoretical":[97],"analysis":[98],"bearing":[101,119,159],"working":[102],"mechanism,":[103,183],"model":[108,126,150],"suitable":[109],"MCUs,":[111],"we":[112],"leverage":[113],"differential":[115,134,145],"characteristics":[116],"vibration":[120],"data":[121],"proposed":[123,185],"a":[124],"TinyML":[125],"on":[128,143],"stacked":[129],"autoencoders.":[130],"pre-autoencoder":[132],"extracts":[133],"features,":[135],"while":[136],"post-autoencoder":[138],"performs":[139],"pooled":[144],"features.":[146],"Finally,":[147],"stacked-autoencoder":[149],"framework":[153,188],"were":[154],"evaluated":[155],"using":[156],"CWRU":[158],"dataset,":[160],"achieving":[161],"384x":[162],"compression":[163],"parameter":[165],"100%":[168],"accuracy":[169],"binary":[171],"classification,":[173],"requiring":[174],"only":[175],"6.44kB":[176],"RAM.":[177],"With":[178],"collaboration":[182],"can":[189],"reduce":[190],"load":[193],"approximately":[195],"94%.":[196]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
