{"id":"https://openalex.org/W2970824139","doi":"https://doi.org/10.1142/s0218126620501182","title":"Detection and Classification of High Impedance Fault in Power Distribution System using Hybrid Technique","display_name":"Detection and Classification of High Impedance Fault in Power Distribution System using Hybrid Technique","publication_year":2019,"publication_date":"2019-08-26","ids":{"openalex":"https://openalex.org/W2970824139","doi":"https://doi.org/10.1142/s0218126620501182","mag":"2970824139"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126620501182","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126620501182","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"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":"Journal of Circuits, Systems and Computers","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/A5089936398","display_name":"N. Narasimhulu","orcid":null},"institutions":[{"id":"https://openalex.org/I52035452","display_name":"Jawaharlal Nehru Technological University Anantapur","ror":"https://ror.org/02rw39616","country_code":"IN","type":"education","lineage":["https://openalex.org/I52035452"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"N. Narasimhulu","raw_affiliation_strings":["JNTUA, Ananthapuramu, Andhra Pradesh, India"],"raw_orcid":"https://orcid.org/0000-0001-5559-4692","affiliations":[{"raw_affiliation_string":"JNTUA, Ananthapuramu, Andhra Pradesh, India","institution_ids":["https://openalex.org/I52035452"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015778098","display_name":"D. V. Ashok Kumar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"D. V. Ashok Kumar","raw_affiliation_strings":["Administration & Placements RGMCET, Nandyal, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Administration & Placements RGMCET, Nandyal, Andhra Pradesh, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5114028375","display_name":"M. Vijaya Kumar","orcid":null},"institutions":[{"id":"https://openalex.org/I52035452","display_name":"Jawaharlal Nehru Technological University Anantapur","ror":"https://ror.org/02rw39616","country_code":"IN","type":"education","lineage":["https://openalex.org/I52035452"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"M. Vijaya Kumar","raw_affiliation_strings":["JNTUA, Ananthapuramu, Andhra Pradesh, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"JNTUA, Ananthapuramu, Andhra Pradesh, India","institution_ids":["https://openalex.org/I52035452"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089936398"],"corresponding_institution_ids":["https://openalex.org/I52035452"],"apc_list":null,"apc_paid":null,"fwci":0.4843,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.65912122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"29","issue":"08","first_page":"2050118","last_page":"2050118"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12737","display_name":"Electrical Fault Detection and Protection","score":0.9966999888420105,"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/T12737","display_name":"Electrical Fault Detection and Protection","score":0.9966999888420105,"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/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9900000095367432,"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":0.9886000156402588,"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/fault","display_name":"Fault (geology)","score":0.6981858015060425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5785139799118042},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5538898706436157},{"id":"https://openalex.org/keywords/matlab","display_name":"MATLAB","score":0.5060059428215027},{"id":"https://openalex.org/keywords/signal","display_name":"SIGNAL (programming language)","score":0.5037629008293152},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.4844910800457001},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4731018543243408},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37930676341056824},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3301655054092407}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6981858015060425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5785139799118042},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5538898706436157},{"id":"https://openalex.org/C2780365114","wikidata":"https://www.wikidata.org/wiki/Q169478","display_name":"MATLAB","level":2,"score":0.5060059428215027},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.5037629008293152},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.4844910800457001},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4731018543243408},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37930676341056824},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3301655054092407},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126620501182","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126620501182","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"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":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1689289596","https://openalex.org/W1829376396","https://openalex.org/W1969640817","https://openalex.org/W1982648210","https://openalex.org/W1997180915","https://openalex.org/W1997937616","https://openalex.org/W2000684915","https://openalex.org/W2012264121","https://openalex.org/W2032498830","https://openalex.org/W2036348035","https://openalex.org/W2046641793","https://openalex.org/W2053019630","https://openalex.org/W2059483872","https://openalex.org/W2073511957","https://openalex.org/W2126998641","https://openalex.org/W2157948857","https://openalex.org/W2160935860","https://openalex.org/W2183881993","https://openalex.org/W2200448175","https://openalex.org/W2225001869","https://openalex.org/W2315183894","https://openalex.org/W2318736490","https://openalex.org/W2337079665","https://openalex.org/W2413218194","https://openalex.org/W2489781746","https://openalex.org/W2518769093","https://openalex.org/W2801323795","https://openalex.org/W2894391362"],"related_works":["https://openalex.org/W2356013541","https://openalex.org/W2385444679","https://openalex.org/W3133868776","https://openalex.org/W144391745","https://openalex.org/W2360644005","https://openalex.org/W2350667299","https://openalex.org/W2365027229","https://openalex.org/W4229851301","https://openalex.org/W2349721879","https://openalex.org/W2372829958"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"a":[3],"hybrid":[4],"strategy":[5,126],"is":[6,25,38,52,66,72,127,136],"introduced":[7],"for":[8],"detecting":[9],"and":[10,49,68,94,133,138,148],"classifying":[11],"the":[12,33,42,46,50,57,63,79,83,90,95,106,109,115,120,124,130,153,159],"High":[13],"Impedance":[14],"Fault":[15],"in":[16,54,129],"Power":[17],"Distribution":[18],"System.":[19],"For":[20],"hybridization,":[21],"Gravitational":[22],"Search":[23],"Algorithm":[24],"combined":[26],"with":[27,140],"Artificial":[28],"Neural":[29],"Network":[30],"to":[31,40,105,117],"crease":[32],"classification":[34],"performance.":[35],"The":[36,60],"ANN":[37,111],"utilized":[39],"characterize":[41],"blame":[43],"signal":[44,48],"from":[45],"reference":[47],"execution":[51,135],"enhanced":[53,110],"view":[55],"of":[56,62,82,108],"GSA":[58],"calculation.":[59],"yield":[61],"proposed":[64,125,160],"method":[65,161],"recognized":[67],"arranged":[69],"whether":[70],"it":[71,156],"HIF":[73],"fault":[74],"or":[75],"no-fault.":[76],"At":[77,99],"first,":[78],"ordinary":[80],"practices":[81],"appropriation":[84],"framework":[85,121],"are":[86,92,97,103],"assessed.":[87],"After":[88],"that,":[89],"deficiencies":[91],"connected":[93],"signals":[96],"measured.":[98],"that":[100,158],"point,":[101],"these":[102],"given":[104],"contribution":[107],"procedure,":[112],"which":[113],"gives":[114],"dataset":[116],"breaking":[118],"down":[119],"exhibitions.":[122],"Finally,":[123],"implemented":[128],"MATLAB/Simulink":[131],"model":[132],"its":[134],"assessed":[137],"compared":[139],"other":[141],"conventional":[142],"techniques":[143],"like":[144],"DWT-ANFIS,":[145],"DWT-RBFFN,":[146],"MWT-ANFIS,":[147],"MWT-FLC":[149],"based":[150],"GA.":[151],"From":[152],"experimental":[154],"results,":[155],"shows":[157],"achieved":[162],"better":[163],"performance":[164],"than":[165],"existing":[166],"methods.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}