{"id":"https://openalex.org/W4408441361","doi":"https://doi.org/10.1109/jiot.2025.3550928","title":"Unknown Fault Diagnosis of Motors Based on Incremental Learning and Edge Computing","display_name":"Unknown Fault Diagnosis of Motors Based on Incremental Learning and Edge Computing","publication_year":2025,"publication_date":"2025-03-14","ids":{"openalex":"https://openalex.org/W4408441361","doi":"https://doi.org/10.1109/jiot.2025.3550928"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2025.3550928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3550928","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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":null,"display_name":"Jingfeng Lu","orcid":"https://orcid.org/0009-0004-2805-8535"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jingfeng Lu","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0004-2805-8535","affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037531844","display_name":"Siliang Lu","orcid":"https://orcid.org/0000-0002-3066-5623"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siliang Lu","raw_affiliation_strings":["School of Electrical Engineering and Automation, Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0000-0002-3066-5623","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Automation, Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083638473","display_name":"Jiawen Xu","orcid":"https://orcid.org/0000-0002-5398-0394"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawen Xu","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-5398-0394","affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011148961","display_name":"Ruqiang Yan","orcid":"https://orcid.org/0000-0002-1250-4084"},"institutions":[{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ruqiang Yan","raw_affiliation_strings":["School of Instrument Science and Engineering, Southeast University, Nanjing, China","School of Instrument Science and Engineering Southeast University, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0002-1250-4084","affiliations":[{"raw_affiliation_string":"School of Instrument Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Instrument Science and Engineering Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I76569877"],"apc_list":null,"apc_paid":null,"fwci":2.9051,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.88632272,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"12","issue":"12","first_page":"22243","last_page":"22256"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9581999778747559,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13832","display_name":"Advanced Decision-Making Techniques","score":0.9581999778747559,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14225","display_name":"Advanced Sensor and Control Systems","score":0.9146000146865845,"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/T12451","display_name":"Smart Grid and Power Systems","score":0.900600016117096,"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/computer-science","display_name":"Computer science","score":0.7934550046920776},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.5393585562705994},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5169596076011658},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5101916790008545},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4592475891113281},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3255949020385742},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3255848288536072}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7934550046920776},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.5393585562705994},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5169596076011658},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5101916790008545},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4592475891113281},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3255949020385742},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3255848288536072},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2025.3550928","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2025.3550928","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5882468136","display_name":null,"funder_award_id":"52275130","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":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1605077306","https://openalex.org/W2217684237","https://openalex.org/W2789811186","https://openalex.org/W2883043945","https://openalex.org/W2883254659","https://openalex.org/W2887782657","https://openalex.org/W2895539666","https://openalex.org/W2956467153","https://openalex.org/W2962814013","https://openalex.org/W2965875348","https://openalex.org/W2971479067","https://openalex.org/W3007048760","https://openalex.org/W3119535973","https://openalex.org/W3159874169","https://openalex.org/W3198069228","https://openalex.org/W4226001391","https://openalex.org/W4281554598","https://openalex.org/W4285111613","https://openalex.org/W4285151592","https://openalex.org/W4285294533","https://openalex.org/W4317565261","https://openalex.org/W4318148761","https://openalex.org/W4319338551","https://openalex.org/W4321609132","https://openalex.org/W4362683616","https://openalex.org/W4367016768","https://openalex.org/W4385834060","https://openalex.org/W4386266029","https://openalex.org/W4386702632","https://openalex.org/W4387250756","https://openalex.org/W4387415178","https://openalex.org/W4392727245","https://openalex.org/W4392976126","https://openalex.org/W4393110907","https://openalex.org/W4394676716","https://openalex.org/W4394698414","https://openalex.org/W4395062968","https://openalex.org/W4395470989","https://openalex.org/W4400760825","https://openalex.org/W4400905275","https://openalex.org/W4401503164","https://openalex.org/W4404116733"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W2052899165","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W3023564924","https://openalex.org/W2942586735"],"abstract_inverted_index":{"Incremental":[0],"learning":[1],"(IL)":[2],"provides":[3,217],"a":[4,28,77,82,88,150,181,194],"dynamic":[5],"framework":[6],"for":[7,27,37,69,163,221],"expanding":[8],"the":[9,25,38,74,102,121,125,142,158,178],"classification":[10],"capacity":[11],"of":[12,40,47,71,124,141,169,184,190,198,210,223],"data-driven":[13],"systems,":[14],"thereby":[15],"facilitating":[16],"unknown":[17,34],"fault":[18,35],"diagnosis":[19],"(UFD)":[20],"in":[21,208],"motor":[22,151],"systems.":[23],"However,":[24],"necessity":[26],"manually":[29],"established":[30],"training":[31,83,114],"set":[32],"with":[33,44,165],"samples":[36],"retraining":[39],"IL":[41,62,108],"models,":[42],"combined":[43],"insufficient":[45],"consideration":[46],"real":[48],"time,":[49],"presents":[50],"significant":[51],"challenges.":[52],"To":[53],"address":[54],"these":[55],"challenges,":[56],"this":[57],"article":[58],"proposes":[59],"an":[60,166,187,218],"automatic":[61],"method":[63,75,144,203],"based":[64,80,110,130],"on":[65,81,111,131,149],"edge":[66,103,112,128],"computing":[67],"(AILEC)":[68],"UFD":[70,132,222],"motors.":[72],"First,":[73],"introduces":[76],"convolutional":[78],"encoder":[79],"guide-separation":[84],"module":[85],"(CETGM)":[86],"and":[87,137,193,212,229],"feature":[89],"similarity":[90],"match":[91],"(FSM)":[92],"technique.":[93],"These":[94],"components":[95],"are":[96],"designed":[97],"to":[98,119,173],"function":[99],"effectively":[100],"at":[101,127],"after":[104],"initial":[105],"training.":[106],"An":[107],"method,":[109],"joint":[113],"(EJT),":[115],"is":[116,145],"then":[117],"proposed":[118,143,202],"extend":[120],"classifiable":[122],"quantity":[123],"model":[126,182,195,227],"end,":[129],"results":[133,155],"derived":[134],"from":[135],"CETGM":[136],"FSM.":[138],"The":[139,154,201],"superiority":[140],"validated":[146],"through":[147],"experiments":[148],"test":[152],"rig.":[153],"demonstrate":[156],"that":[157],"approach":[159],"achieves":[160],"99.99%":[161],"accuracy":[162,168,211],"UFD,":[164],"average":[167],"98.84%":[170],"across":[171],"4":[172],"10":[174],"incremental":[175],"states.":[176],"Additionally,":[177],"system":[179],"delivers":[180],"size":[183],"0.5":[185],"MB,":[186],"inference":[188],"time":[189,197],"2.09":[191],"ms,":[192],"update":[196],"164":[199],"s.":[200],"outperforms":[204],"several":[205],"existing":[206],"approaches":[207],"terms":[209],"real-time":[213,230],"processing":[214],"capabilities.":[215],"It":[216],"intelligent":[219],"solution":[220],"motors,":[224],"featuring":[225],"continuous":[226],"updates":[228],"IL.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}