{"id":"https://openalex.org/W3089272928","doi":"https://doi.org/10.1109/access.2020.3026932","title":"Insulation Fault Diagnosis of Disconnecting Switches Based on Wavelet Packet Transform and PCA-IPSO-SVM of Electric Fields","display_name":"Insulation Fault Diagnosis of Disconnecting Switches Based on Wavelet Packet Transform and PCA-IPSO-SVM of Electric Fields","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3089272928","doi":"https://doi.org/10.1109/access.2020.3026932","mag":"3089272928"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3026932","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3026932","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09206012.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09206012.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5056933944","display_name":"Tongqiang Yi","orcid":"https://orcid.org/0000-0001-6549-6017"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tongqiang Yi","raw_affiliation_strings":["State Key Laboratory of Electrical Insulation and Power, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":"https://orcid.org/0000-0001-6549-6017","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Electrical Insulation and Power, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052354174","display_name":"Yan\u2010Zhao Xie","orcid":"https://orcid.org/0000-0002-6604-2882"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanzhao Xie","raw_affiliation_strings":["State Key Laboratory of Electrical Insulation and Power, Xi\u2019an Jiaotong University, Xi\u2019an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Electrical Insulation and Power, Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037935896","display_name":"Hongye Zhang","orcid":"https://orcid.org/0000-0002-8960-4614"},"institutions":[{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hongye Zhang","raw_affiliation_strings":["School of Engineering, University of Edinburgh, Edinburgh, U.K"],"raw_orcid":"https://orcid.org/0000-0002-8960-4614","affiliations":[{"raw_affiliation_string":"School of Engineering, University of Edinburgh, Edinburgh, U.K","institution_ids":["https://openalex.org/I98677209"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017396455","display_name":"Xu Kong","orcid":"https://orcid.org/0000-0003-0490-8457"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Kong","raw_affiliation_strings":["College of Electrical Engineering and Automation, Shandong University of Science and Technology, Tsingtao, China"],"raw_orcid":"https://orcid.org/0000-0003-0490-8457","affiliations":[{"raw_affiliation_string":"College of Electrical Engineering and Automation, Shandong University of Science and Technology, Tsingtao, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2488,"has_fulltext":true,"cited_by_count":19,"citation_normalized_percentile":{"value":0.79888679,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"176676","last_page":"176690"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9987999796867371,"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/T12737","display_name":"Electrical Fault Detection and Protection","score":0.9983999729156494,"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/T11941","display_name":"Power System Reliability and Maintenance","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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":0.6616323590278625},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.610264778137207},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5757692456245422},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5293481945991516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5144896507263184},{"id":"https://openalex.org/keywords/wavelet-packet-decomposition","display_name":"Wavelet packet decomposition","score":0.5121748447418213},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.499650239944458},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.48535147309303284},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.48130834102630615},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.4683465361595154},{"id":"https://openalex.org/keywords/time-domain","display_name":"Time domain","score":0.4439636468887329},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4309638738632202},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.43029674887657166},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.40983307361602783},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.31572508811950684},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07298114895820618}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6616323590278625},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.610264778137207},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5757692456245422},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5293481945991516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5144896507263184},{"id":"https://openalex.org/C155777637","wikidata":"https://www.wikidata.org/wiki/Q2736187","display_name":"Wavelet packet decomposition","level":4,"score":0.5121748447418213},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.499650239944458},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.48535147309303284},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.48130834102630615},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.4683465361595154},{"id":"https://openalex.org/C103824480","wikidata":"https://www.wikidata.org/wiki/Q185889","display_name":"Time domain","level":2,"score":0.4439636468887329},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4309638738632202},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.43029674887657166},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.40983307361602783},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.31572508811950684},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07298114895820618},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/access.2020.3026932","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3026932","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09206012.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire/e697519a-c778-41bf-b1fc-8893326554d6","is_oa":true,"landing_page_url":"https://research.manchester.ac.uk/en/publications/e697519a-c778-41bf-b1fc-8893326554d6","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Yi, T, Xie, Y, Zhang, H & Kong, X 2020, 'Insulation Fault Diagnosis of Disconnecting Switches Based on Wavelet Packet Transform and PCA-IPSO-SVM of Electric Fields', IEEE Access, vol. 8, pp. 176676-176690. https://doi.org/10.1109/ACCESS.2020.3026932","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:doaj.org/article:2bc9dab0321a4a65a17965169c5e5c37","is_oa":true,"landing_page_url":"https://doaj.org/article/2bc9dab0321a4a65a17965169c5e5c37","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 176676-176690 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3026932","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3026932","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09206012.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3527998096","display_name":null,"funder_award_id":"51677148","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/W3089272928.pdf","grobid_xml":"https://content.openalex.org/works/W3089272928.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1590686163","https://openalex.org/W2014158063","https://openalex.org/W2017215697","https://openalex.org/W2032896546","https://openalex.org/W2050699972","https://openalex.org/W2088915426","https://openalex.org/W2097065015","https://openalex.org/W2119821739","https://openalex.org/W2122936696","https://openalex.org/W2128728535","https://openalex.org/W2152195021","https://openalex.org/W2351687313","https://openalex.org/W2357978376","https://openalex.org/W2360586815","https://openalex.org/W2382997051","https://openalex.org/W2391667501","https://openalex.org/W2392946907","https://openalex.org/W2543580944","https://openalex.org/W2566567412","https://openalex.org/W2748480310","https://openalex.org/W2780031717","https://openalex.org/W2800070384","https://openalex.org/W2884653281","https://openalex.org/W2886442501","https://openalex.org/W2892180516","https://openalex.org/W2892871933","https://openalex.org/W2923537029","https://openalex.org/W2941753884","https://openalex.org/W2968047354","https://openalex.org/W4239510810","https://openalex.org/W6635381168","https://openalex.org/W6996080257","https://openalex.org/W7049102822"],"related_works":["https://openalex.org/W2054017055","https://openalex.org/W2085792030","https://openalex.org/W1588899229","https://openalex.org/W4321517526","https://openalex.org/W1976022598","https://openalex.org/W2111896212","https://openalex.org/W1967182499","https://openalex.org/W2097034666","https://openalex.org/W2028299730","https://openalex.org/W2543327743"],"abstract_inverted_index":{"Previous":[0],"studies":[1],"have":[2],"shown":[3],"that":[4,232],"switching":[5,21],"operations":[6],"of":[7,29,36,45,106,128,165,217,224],"gas":[8],"insulated":[9],"substations":[10],"(GIS)":[11],"can":[12,31,202,212,243],"generate":[13],"transient":[14,22],"radiation":[15],"fields":[16,24],"outside":[17],"the":[18,33,37,42,104,136,142,149,163,166,214,218,221,233,246],"enclosure,":[19],"namely":[20],"electric":[23,72],"(STEF).":[25],"The":[26,153,208],"waveform":[27],"features":[28],"STEF":[30,80,131],"reflect":[32],"functioning":[34],"performance":[35,216],"switch.":[38],"To":[39],"monitor":[40],"online":[41],"working":[43],"states":[44],"disconnecting":[46],"switches":[47],"(DS),":[48],"in":[49,141,250],"this":[50],"paper,":[51],"we":[52,97],"built":[53],"an":[54,92,187],"experimental":[55],"platform":[56],"to":[57,78,90,102,123,148,161,174,196],"simulate":[58],"their":[59],"typical":[60],"faulty":[61,66,248],"types.":[62],"Then,":[63],"under":[64],"different":[65,125],"status,":[67],"a":[68,99,181,198],"non-invasive":[69],"three-dimensional":[70],"(3D)":[71],"field":[73],"measurement":[74],"system":[75],"was":[76,146,159,171,194],"applied":[77],"obtain":[79],"produced":[81],"by":[82,135],"DS.":[83,107,129],"It":[84],"is":[85,111],"difficult":[86],"for":[87,205],"conventional":[88],"methods":[89],"establish":[91],"accurate":[93],"fault-diagnosis":[94],"model,":[95],"so":[96],"presented":[98],"novel":[100],"method":[101,140,237],"identify":[103,245],"condition":[105],"This":[108],"innovative":[109],"approach":[110],"based":[112,238],"on":[113,239],"feature":[114,151,168,176],"extraction":[115,177],"and":[116,119,227,241],"machine":[117,184],"learning":[118,228],"combined":[120],"signal":[121,206],"analysis":[122,156],"classify":[124],"defect":[126],"types":[127],"Measured":[130],"signals":[132,249],"were":[133],"analyzed":[134],"wavelet":[137],"packet":[138],"transform(WPT)":[139],"time-frequency":[143],"domain,":[144],"which":[145,170,201],"transformed":[147],"multi-dimensional":[150],"matrix.":[152],"principal":[154],"component":[155],"(PCA)":[157],"algorithm":[158,193],"employed":[160],"reduce":[162],"dimensionality":[164],"obtained":[167],"matrix,":[169],"also":[172],"compared":[173],"other":[175],"algorithms.":[178],"In":[179],"addition,":[180],"support":[182],"vector":[183],"(SVM)":[185],"with":[186],"improved":[188],"particle":[189],"swarm":[190],"optimization":[191],"(IPSO)":[192],"designed":[195],"achieve":[197],"PCA-IPSO-SVM":[199,242],"model":[200],"be":[203],"used":[204],"recognition.":[207],"proposed":[209,234],"IPSO":[210],"technique":[211],"improve":[213],"convergence":[215],"PSO":[219],"through":[220],"dynamic":[222],"adjustment":[223],"inertia":[225],"weight":[226],"factors.":[229],"Results":[230],"show":[231],"fault":[235],"diagnosis":[236],"WPT":[240],"effectively":[244],"insulation":[247],"STEF.":[251]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
