{"id":"https://openalex.org/W4407735842","doi":"https://doi.org/10.1109/tii.2025.3538116","title":"Partial Discharge Detection via Self-Supervised Graph Contrastive Clustering","display_name":"Partial Discharge Detection via Self-Supervised Graph Contrastive Clustering","publication_year":2025,"publication_date":"2025-02-19","ids":{"openalex":"https://openalex.org/W4407735842","doi":"https://doi.org/10.1109/tii.2025.3538116"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2025.3538116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3538116","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Transactions on Industrial Informatics","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/A5100413663","display_name":"Ang Li","orcid":"https://orcid.org/0000-0003-4492-4793"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ang Li","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0003-4492-4793","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054149826","display_name":"Guangze Wei","orcid":null},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangze Wei","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0009-0008-7146-0414","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040922631","display_name":"Jianlei Zhang","orcid":"https://orcid.org/0000-0002-9932-9265"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianlei Zhang","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-9932-9265","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100350831","display_name":"Chunyan Zhang","orcid":"https://orcid.org/0000-0002-2095-7833"},"institutions":[{"id":"https://openalex.org/I205237279","display_name":"Nankai University","ror":"https://ror.org/01y1kjr75","country_code":"CN","type":"education","lineage":["https://openalex.org/I205237279"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyan Zhang","raw_affiliation_strings":["College of Artificial Intelligence, Nankai University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-2095-7833","affiliations":[{"raw_affiliation_string":"College of Artificial Intelligence, Nankai University, Tianjin, China","institution_ids":["https://openalex.org/I205237279"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100413663"],"corresponding_institution_ids":["https://openalex.org/I205237279"],"apc_list":null,"apc_paid":null,"fwci":3.2997,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.90691565,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"21","issue":"5","first_page":"4016","last_page":"4026"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14011","display_name":"Elevator Systems and Control","score":0.9740999937057495,"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/T14011","display_name":"Elevator Systems and Control","score":0.9740999937057495,"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/T13955","display_name":"Evaluation Methods in Various Fields","score":0.9465000033378601,"subfield":{"id":"https://openalex.org/subfields/2302","display_name":"Ecological Modeling"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.9230999946594238,"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/cluster-analysis","display_name":"Cluster analysis","score":0.6532446146011353},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6245044469833374},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5533374547958374},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5311592817306519},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.43072694540023804},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3333667516708374},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.10842978954315186}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6532446146011353},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6245044469833374},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5533374547958374},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5311592817306519},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.43072694540023804},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3333667516708374},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.10842978954315186}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2025.3538116","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2025.3538116","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3547054289","display_name":null,"funder_award_id":"62073174","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5773010719","display_name":null,"funder_award_id":"62073175","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5784055081","display_name":null,"funder_award_id":"62473211","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1527701214","https://openalex.org/W2907492528","https://openalex.org/W2913257695","https://openalex.org/W2921736909","https://openalex.org/W2953928707","https://openalex.org/W2964732194","https://openalex.org/W3023514908","https://openalex.org/W3034357204","https://openalex.org/W3093522608","https://openalex.org/W3128994661","https://openalex.org/W3136526008","https://openalex.org/W3173294575","https://openalex.org/W4210729721","https://openalex.org/W4226219101","https://openalex.org/W4282913028","https://openalex.org/W4292425816","https://openalex.org/W4293153026","https://openalex.org/W4308349419","https://openalex.org/W4321392501","https://openalex.org/W4321483883","https://openalex.org/W4324125151","https://openalex.org/W4360995776","https://openalex.org/W4362691848","https://openalex.org/W4367171989","https://openalex.org/W4376607886","https://openalex.org/W4385307020","https://openalex.org/W4385884977","https://openalex.org/W4389104603","https://openalex.org/W4391661446","https://openalex.org/W4393972734","https://openalex.org/W4394966790","https://openalex.org/W4399449508","https://openalex.org/W4402629406","https://openalex.org/W6730084236","https://openalex.org/W6738964360","https://openalex.org/W6779518175","https://openalex.org/W6853380566"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Accurate":[0],"detection":[1],"of":[2,14,23,86,96,133,169],"partial":[3],"discharge":[4],"(PD)":[5],"is":[6,136],"critical":[7],"for":[8,107,165],"ensuring":[9],"the":[10,21,60,84,94,140,149,154,166],"reliability":[11],"and":[12,73,89,110,124],"safety":[13,167],"high-voltage":[15,170],"electrical":[16],"equipment.":[17],"This":[18,80],"study":[19],"addresses":[20],"challenge":[22],"distinguishing":[24],"PD":[25,40,134,159],"signals":[26],"from":[27],"various":[28],"sources":[29],"through":[30],"unsupervised":[31],"learning.":[32,79],"Acoustic":[33],"emission":[34],"sensors":[35],"were":[36,44],"employed":[37],"to":[38,51,76,120],"collect":[39],"pulse":[41],"signals,":[42],"which":[43],"analyzed":[45],"using":[46,139],"a":[47,116],"novel":[48],"cross-domain":[49],"strategy":[50],"extract":[52],"essential":[53],"features.":[54],"In":[55,112],"this":[56],"research,":[57],"we":[58,114],"introduce":[59],"self-supervised":[61,78],"graph":[62,68],"contrastive":[63,71],"clustering":[64],"(SGCC)":[65],"method,":[66,156],"combining":[67],"networks":[69],"with":[70,153],"learning":[72,85],"residual":[74],"connections":[75],"optimize":[77],"innovative":[81],"approach":[82],"enhances":[83],"internode":[87],"relationships":[88],"feature":[90,117,122],"differentiation,":[91],"effectively":[92,157],"minimizing":[93],"risk":[95],"information":[97,126],"homogenization.":[98],"The":[99],"temporal":[100,108],"dynamic":[101],"threshold":[102],"negative":[103],"sampling":[104],"method":[105],"accounts":[106],"dynamics":[109],"diversity.":[111],"addition,":[113],"develop":[115],"contrast":[118],"function":[119],"enhance":[121],"independence":[123],"reduce":[125],"redundancy":[127],"in":[128],"high-dimensional":[129],"embedding":[130],"vectors.":[131],"Clustering":[132],"pulses":[135],"efficiently":[137],"executed":[138],"Bisecting":[141],"K-Means":[142],"algorithm.":[143],"Our":[144],"experimental":[145],"results":[146],"demonstrate":[147],"that":[148],"proposed":[150],"features,":[151],"along":[152],"SGCC":[155],"segregate":[158],"sources,":[160],"thereby":[161],"providing":[162],"substantial":[163],"support":[164],"monitoring":[168],"systems.":[171]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
