{"id":"https://openalex.org/W4415834934","doi":"https://doi.org/10.1142/s0218001425520378","title":"A Multi-Task Deep Learning Method for Power Equipment Fault Detection Based on Edge\u2013Cloud Collaborative Architecture","display_name":"A Multi-Task Deep Learning Method for Power Equipment Fault Detection Based on Edge\u2013Cloud Collaborative Architecture","publication_year":2025,"publication_date":"2025-11-04","ids":{"openalex":"https://openalex.org/W4415834934","doi":"https://doi.org/10.1142/s0218001425520378"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001425520378","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425520378","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/A5065772985","display_name":"Tiansen Han","orcid":null},"institutions":[{"id":"https://openalex.org/I4210086825","display_name":"Guangzhou Education Bureau","ror":"https://ror.org/00479t136","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210086825"]},{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]},{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"Tiansen Han","raw_affiliation_strings":["Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong, Guangzhou 510180, P. R. China"],"raw_orcid":"https://orcid.org/0009-0009-0878-6283","affiliations":[{"raw_affiliation_string":"Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong, Guangzhou 510180, P. R. China","institution_ids":["https://openalex.org/I867306930","https://openalex.org/I74872605","https://openalex.org/I4210086825"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yong Yang","orcid":"https://orcid.org/0009-0008-7850-3245"},"institutions":[{"id":"https://openalex.org/I4210086825","display_name":"Guangzhou Education Bureau","ror":"https://ror.org/00479t136","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210086825"]},{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]},{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"Yong Yang","raw_affiliation_strings":["Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong, Guangzhou 510180, P. R. China"],"raw_orcid":"https://orcid.org/0009-0008-7850-3245","affiliations":[{"raw_affiliation_string":"Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong, Guangzhou 510180, P. R. China","institution_ids":["https://openalex.org/I867306930","https://openalex.org/I74872605","https://openalex.org/I4210086825"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weihong Tan","orcid":"https://orcid.org/0009-0007-5475-4931"},"institutions":[{"id":"https://openalex.org/I4210086825","display_name":"Guangzhou Education Bureau","ror":"https://ror.org/00479t136","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210086825"]},{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]},{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"Weihong Tan","raw_affiliation_strings":["Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong, Guangzhou 510180, P. R. China"],"raw_orcid":"https://orcid.org/0009-0007-5475-4931","affiliations":[{"raw_affiliation_string":"Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong, Guangzhou 510180, P. R. China","institution_ids":["https://openalex.org/I867306930","https://openalex.org/I74872605","https://openalex.org/I4210086825"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Siyu Bao","orcid":"https://orcid.org/0009-0009-9042-6913"},"institutions":[{"id":"https://openalex.org/I4210086825","display_name":"Guangzhou Education Bureau","ror":"https://ror.org/00479t136","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210086825"]},{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]},{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"Siyu Bao","raw_affiliation_strings":["Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong, Guangzhou 510180, P. R. China"],"raw_orcid":"https://orcid.org/0009-0009-9042-6913","affiliations":[{"raw_affiliation_string":"Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong, Guangzhou 510180, P. R. China","institution_ids":["https://openalex.org/I867306930","https://openalex.org/I74872605","https://openalex.org/I4210086825"]}]},{"author_position":"last","author":{"id":null,"display_name":"Kunjun Kuang","orcid":"https://orcid.org/0009-0004-5403-7762"},"institutions":[{"id":"https://openalex.org/I4210086825","display_name":"Guangzhou Education Bureau","ror":"https://ror.org/00479t136","country_code":"CN","type":"government","lineage":["https://openalex.org/I4210086825"]},{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]},{"id":"https://openalex.org/I867306930","display_name":"Power Grid Corporation (India)","ror":"https://ror.org/0136vj189","country_code":"IN","type":"company","lineage":["https://openalex.org/I867306930"]}],"countries":["CN","IN"],"is_corresponding":false,"raw_author_name":"Kunjun Kuang","raw_affiliation_strings":["Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong, Guangzhou 510180, P. R. China"],"raw_orcid":"https://orcid.org/0009-0004-5403-7762","affiliations":[{"raw_affiliation_string":"Guangzhou Power Supply Bureau of Guangdong Power Grid Co., Ltd, Guangdong, Guangzhou 510180, P. R. China","institution_ids":["https://openalex.org/I867306930","https://openalex.org/I74872605","https://openalex.org/I4210086825"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.35248249,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"40","issue":"04","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10972","display_name":"Power Systems Fault Detection","score":0.17110000550746918,"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/T10972","display_name":"Power Systems Fault Detection","score":0.17110000550746918,"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/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.1678999960422516,"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"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.10949999839067459,"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/deep-learning","display_name":"Deep learning","score":0.5971999764442444},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.5873000025749207},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.5117999911308289},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.45739999413490295},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4490000009536743},{"id":"https://openalex.org/keywords/circuit-breaker","display_name":"Circuit breaker","score":0.4097999930381775},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.3653999865055084},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.35839998722076416},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.3474000096321106}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7634999752044678},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5971999764442444},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.5873000025749207},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5144000053405762},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.5117999911308289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49480000138282776},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.45739999413490295},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4490000009536743},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4260999858379364},{"id":"https://openalex.org/C61352017","wikidata":"https://www.wikidata.org/wiki/Q211058","display_name":"Circuit breaker","level":2,"score":0.4097999930381775},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.3653999865055084},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.36410000920295715},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.35839998722076416},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34929999709129333},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.3474000096321106},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3465000092983246},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.337799996137619},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.33730000257492065},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.30889999866485596},{"id":"https://openalex.org/C104267543","wikidata":"https://www.wikidata.org/wiki/Q208163","display_name":"Signal processing","level":3,"score":0.3059000074863434},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.29109999537467957},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.28439998626708984},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.2802000045776367},{"id":"https://openalex.org/C35525427","wikidata":"https://www.wikidata.org/wiki/Q745881","display_name":"Intrusion detection system","level":2,"score":0.26969999074935913},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.2563999891281128},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2563000023365021},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.2538999915122986},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001425520378","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001425520378","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":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2808496542","https://openalex.org/W2904460913","https://openalex.org/W2960833983","https://openalex.org/W3014444579","https://openalex.org/W3095779778","https://openalex.org/W3183845133","https://openalex.org/W3189236906","https://openalex.org/W4200322140","https://openalex.org/W4200591402","https://openalex.org/W4289133968","https://openalex.org/W4311372125","https://openalex.org/W4385346257","https://openalex.org/W4395069551","https://openalex.org/W4403905010","https://openalex.org/W4405718102","https://openalex.org/W4408985674","https://openalex.org/W4412171604","https://openalex.org/W4414142254","https://openalex.org/W4417003558"],"related_works":[],"abstract_inverted_index":{"Timely":[0,32],"and":[1,7,17,28,33,48,66,75,101,117,128,170,181,191,204,212,231],"accurate":[2,34],"fault":[3,30,35,63,199,205],"detection":[4,36,64,210],"for":[5,59],"complex":[6],"heterogeneous":[8],"power":[9,38,52,85,220],"equipment,":[10],"such":[11],"as":[12],"transformer":[13],"faults,":[14,16],"line":[15],"breaker":[18],"malfunctions,":[19],"poses":[20],"significant":[21],"challenges":[22],"due":[23],"to":[24,110,124,165],"diverse":[25],"signal":[26],"characteristics":[27],"overlapping":[29],"signatures.":[31],"in":[37,44,83,233],"equipment":[39],"plays":[40],"a":[41,139],"crucial":[42],"role":[43],"ensuring":[45],"the":[46,112,163,174],"safe":[47],"stable":[49],"operation":[50],"of":[51,114,197],"grids.":[53],"Moreover,":[54],"single-task":[55],"models":[56,107,159],"are":[57,80,95,160],"inadequate":[58],"handling":[60],"multiple":[61,218],"concurrent":[62],"tasks,":[65],"purely":[67],"cloud-based":[68],"processing":[69,104,122],"suffers":[70],"from":[71],"high":[72,125],"communication":[73,126],"latency":[74,127],"poor":[76],"real-time":[77,130],"responsiveness,":[78],"which":[79],"critical":[81],"limitations":[82],"modern":[84],"grid":[86],"scenarios":[87],"with":[88],"stringent":[89],"resource":[90],"constraints.":[91],"However,":[92],"conventional":[93],"methods":[94],"constrained":[96],"by":[97],"limited":[98],"computational":[99],"resources":[100],"inflexible":[102],"task":[103,171],"schemes.":[105],"Single-task":[106],"often":[108],"fail":[109],"meet":[111],"demands":[113],"multi-task":[115,140,183],"detection,":[116],"relying":[118],"solely":[119],"on":[120,145,217],"cloud":[121,175],"leads":[123],"insufficient":[129],"performance.":[131],"To":[132],"address":[133],"these":[134],"challenges,":[135],"this":[136,156],"paper":[137],"proposes":[138],"deep":[141],"learning":[142],"approach":[143],"based":[144],"an":[146],"edge\u2013cloud":[147],"collaborative":[148],"architecture,":[149],"named":[150],"ECMT-Net":[151,194,224],"(Edge\u2013Cloud":[152],"Multi-Task":[153],"Network).":[154],"In":[155],"framework,":[157],"lightweight":[158],"deployed":[161],"at":[162],"edge":[164],"perform":[166],"initial":[167],"feature":[168,179],"extraction":[169],"partitioning,":[172],"while":[173],"server":[176],"handles":[177],"global":[178,192],"fusion":[180],"joint":[182],"optimization.":[184],"This":[185],"design":[186],"effectively":[187],"balances":[188],"local":[189],"responsiveness":[190],"accuracy.":[193],"is":[195],"capable":[196],"performing":[198],"type":[200],"classification,":[201],"severity":[202],"assessment,":[203],"localization":[206],"simultaneously,":[207],"significantly":[208],"improving":[209],"efficiency":[211],"system":[213],"responsiveness.":[214],"Experimental":[215],"results":[216],"real-world":[219],"datasets":[221],"demonstrate":[222],"that":[223],"outperforms":[225],"existing":[226],"methods,":[227],"validating":[228],"its":[229],"feasibility":[230],"effectiveness":[232],"practical":[234],"applications.":[235]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-11-04T00:00:00"}