{"id":"https://openalex.org/W2538471827","doi":"https://doi.org/10.1109/fskd.2016.7603296","title":"Fault analysis and prediction of transmission line based on fuzzy K-Nearest Neighbor algorithm","display_name":"Fault analysis and prediction of transmission line based on fuzzy K-Nearest Neighbor algorithm","publication_year":2016,"publication_date":"2016-08-01","ids":{"openalex":"https://openalex.org/W2538471827","doi":"https://doi.org/10.1109/fskd.2016.7603296","mag":"2538471827"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2016.7603296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2016.7603296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","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/A5100333713","display_name":"Yue Zhang","orcid":"https://orcid.org/0000-0002-4043-0529"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhang","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan City, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101772460","display_name":"Jianxia Chen","orcid":"https://orcid.org/0000-0003-3902-0378"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxia Chen","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan City, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043157844","display_name":"Qin Fang","orcid":"https://orcid.org/0000-0003-0638-5178"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Fang","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan City, China","institution_ids":["https://openalex.org/I74525822"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100670242","display_name":"Zhiwei Ye","orcid":"https://orcid.org/0000-0001-6668-4634"},"institutions":[{"id":"https://openalex.org/I74525822","display_name":"Hubei University of Technology","ror":"https://ror.org/02d3fj342","country_code":"CN","type":"education","lineage":["https://openalex.org/I74525822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwei Ye","raw_affiliation_strings":["School of Computer Science, Hubei University of Technology, Wuhan City, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science, Hubei University of Technology, Wuhan City, China","institution_ids":["https://openalex.org/I74525822"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8902,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.87096315,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"36","issue":null,"first_page":"894","last_page":"899"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10972","display_name":"Power Systems Fault Detection","score":0.9994999766349792,"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":0.9994999766349792,"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/T14276","display_name":"Power Systems and Technologies","score":0.9623000025749207,"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/T12707","display_name":"Vehicle License Plate Recognition","score":0.9501000046730042,"subfield":{"id":"https://openalex.org/subfields/2214","display_name":"Media Technology"},"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.6645820140838623},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6502523422241211},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.6431299448013306},{"id":"https://openalex.org/keywords/k-nearest-neighbors-algorithm","display_name":"k-nearest neighbors algorithm","score":0.6405864357948303},{"id":"https://openalex.org/keywords/electric-power-transmission","display_name":"Electric power transmission","score":0.535391628742218},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4590929448604584},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4458268880844116},{"id":"https://openalex.org/keywords/transmission-line","display_name":"Transmission line","score":0.43796810507774353},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.41083914041519165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39070218801498413},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.2972109317779541},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.15294021368026733}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.6645820140838623},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6502523422241211},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.6431299448013306},{"id":"https://openalex.org/C113238511","wikidata":"https://www.wikidata.org/wiki/Q1071612","display_name":"k-nearest neighbors algorithm","level":2,"score":0.6405864357948303},{"id":"https://openalex.org/C140311924","wikidata":"https://www.wikidata.org/wiki/Q200928","display_name":"Electric power transmission","level":2,"score":0.535391628742218},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4590929448604584},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4458268880844116},{"id":"https://openalex.org/C33441834","wikidata":"https://www.wikidata.org/wiki/Q693004","display_name":"Transmission line","level":2,"score":0.43796810507774353},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.41083914041519165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39070218801498413},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.2972109317779541},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.15294021368026733},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2016.7603296","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2016.7603296","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4099999964237213,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"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":8,"referenced_works":["https://openalex.org/W2040895929","https://openalex.org/W2136722496","https://openalex.org/W2157354887","https://openalex.org/W2348824752","https://openalex.org/W2364792200","https://openalex.org/W2372600079","https://openalex.org/W2377856740","https://openalex.org/W7036114512"],"related_works":["https://openalex.org/W2118169057","https://openalex.org/W2785302227","https://openalex.org/W3115307632","https://openalex.org/W4255886484","https://openalex.org/W787855002","https://openalex.org/W2352125985","https://openalex.org/W2949628984","https://openalex.org/W4396767100","https://openalex.org/W2096055231","https://openalex.org/W3109294920"],"abstract_inverted_index":{"As":[0],"the":[1,4,8,15,19,42,45,50,57,65,72,79,83,86,92,95,107,113,120,134,142,154,158,170],"lifeblood":[2],"of":[3,10,18,31,44,52,78,91,109,115,128,136,157,169],"electric":[5],"power":[6,20,46],"system,":[7],"fault":[9,26,55,73,80],"transmission":[11,32,53],"lines":[12],"directly":[13],"threaten":[14],"safe":[16],"operation":[17],"system.":[21,47],"Thus,":[22],"effective":[23],"and":[24,28,38,75,165],"accurate":[25],"prediction":[27],"positioning":[29],"analysis":[30,77,90],"lines,":[33],"has":[34,161],"important":[35],"practical":[36],"value":[37],"economic":[39],"significance":[40],"to":[41,63,70,98,104],"security":[43],"To":[48],"solve":[49,141],"asymmetry":[51],"line":[54],"problem,":[56],"paper":[58],"proposes":[59],"a":[60,162],"novel":[61],"approach":[62,88],"utilize":[64],"fuzzy":[66,116,137,159],"K-NN(K-Nearest":[67],"Neighbor)":[68],"classifier":[69],"predict":[71],"types":[74],"position":[76],"line.":[81],"During":[82],"training":[84,96],"phase,":[85],"proposed":[87],"uses":[89],"connection":[93],"between":[94],"data":[97,126],"obtain":[99],"relevant":[100],"cluster":[101],"center":[102],"features":[103],"greatly":[105],"reduce":[106],"amount":[108],"data,":[110],"thus":[111],"improve":[112],"efficiency":[114,164],"K-NN":[117,148,160,172],"algorithm":[118],"in":[119],"test":[121],"phase.":[122],"In":[123],"particular,":[124],"when":[125],"classification":[127],"category":[129],"boundaries":[130],"is":[131],"not":[132],"obvious,":[133],"application":[135],"theory":[138],"can":[139],"effectively":[140],"deviation":[143],"problem":[144],"produced":[145],"via":[146],"only":[147],"algorithm.":[149,173],"Experimental":[150],"results":[151,156],"show":[152],"that":[153],"predictive":[155],"better":[163],"accuracy":[166],"than":[167],"those":[168],"ordinary":[171]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
