{"id":"https://openalex.org/W4400235437","doi":"https://doi.org/10.1109/iscas58744.2024.10558339","title":"Fault Detection and Location of Transmission Lines Based on Convolutional Neural Network","display_name":"Fault Detection and Location of Transmission Lines Based on Convolutional Neural Network","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400235437","doi":"https://doi.org/10.1109/iscas58744.2024.10558339"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10558339","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas58744.2024.10558339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5101970191","display_name":"Yangyang Jiang","orcid":"https://orcid.org/0009-0005-8724-313X"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangyang Jiang","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100771478","display_name":"Chang Sun","orcid":"https://orcid.org/0000-0001-5068-3936"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Sun","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004452499","display_name":"Yongxiang Xia","orcid":"https://orcid.org/0000-0001-6271-9588"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongxiang Xia","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050656778","display_name":"Haicheng Tu","orcid":"https://orcid.org/0000-0002-1174-0245"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haicheng Tu","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061387421","display_name":"Chunshan Liu","orcid":"https://orcid.org/0000-0003-0887-0484"},"institutions":[{"id":"https://openalex.org/I50760025","display_name":"Hangzhou Dianzi University","ror":"https://ror.org/0576gt767","country_code":"CN","type":"education","lineage":["https://openalex.org/I50760025"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunshan Liu","raw_affiliation_strings":["Hangzhou Dianzi University,Hangzhou,China"],"affiliations":[{"raw_affiliation_string":"Hangzhou Dianzi University,Hangzhou,China","institution_ids":["https://openalex.org/I50760025"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101970191"],"corresponding_institution_ids":["https://openalex.org/I50760025"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.095148,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10972","display_name":"Power Systems Fault Detection","score":0.9031999707221985,"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":0.9031999707221985,"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/convolutional-neural-network","display_name":"Convolutional neural network","score":0.8212194442749023},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7447187304496765},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5531123280525208},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.5073177218437195},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.48378464579582214},{"id":"https://openalex.org/keywords/electric-power-transmission","display_name":"Electric power transmission","score":0.4771568179130554},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4414482116699219},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42512738704681396},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41048234701156616},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35320815443992615},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.1944124400615692},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12403982877731323},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.10108199715614319},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09013128280639648},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.07610324025154114}],"concepts":[{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.8212194442749023},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7447187304496765},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5531123280525208},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.5073177218437195},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.48378464579582214},{"id":"https://openalex.org/C140311924","wikidata":"https://www.wikidata.org/wiki/Q200928","display_name":"Electric power transmission","level":2,"score":0.4771568179130554},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4414482116699219},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42512738704681396},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41048234701156616},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35320815443992615},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.1944124400615692},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12403982877731323},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.10108199715614319},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09013128280639648},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.07610324025154114},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iscas58744.2024.10558339","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/iscas58744.2024.10558339","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.44999998807907104,"id":"https://metadata.un.org/sdg/13","display_name":"Climate action"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320326707","display_name":"State Grid Corporation of China","ror":"https://ror.org/05twwhs70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1986311246","https://openalex.org/W1997180915","https://openalex.org/W2015451111","https://openalex.org/W2040160862","https://openalex.org/W2123974171","https://openalex.org/W2289117919","https://openalex.org/W2593576976","https://openalex.org/W2775009151","https://openalex.org/W2995460017","https://openalex.org/W3013275249","https://openalex.org/W3020745304","https://openalex.org/W3140660742","https://openalex.org/W3208053301"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W4239306820","https://openalex.org/W2947043951","https://openalex.org/W4312417841","https://openalex.org/W4210874298"],"abstract_inverted_index":{"Transmission":[0],"lines":[1],"are":[2,102],"an":[3],"important":[4],"part":[5],"of":[6,14,27,33,39,97,127],"the":[7,11,15,24,28,58,63,75,80,88,94,98,119,124,128,134],"power":[8,29,40],"system,":[9],"and":[10,42,56,108,139,147],"normal":[12],"operation":[13,26],"transmission":[16,34,59,143],"line":[17,35,60,144],"is":[18,68,116],"a":[19,65],"key":[20],"step":[21],"to":[22,54,70,78,104,118,122],"ensure":[23],"stable":[25],"system.":[30],"The":[31,130],"failure":[32],"can":[36],"cause":[37,43],"interruption":[38],"supply":[41],"serious":[44],"economic":[45],"losses.":[46],"This":[47],"work":[48],"uses":[49],"Convolutional":[50],"Neural":[51],"Networks":[52],"(CNN)":[53],"detect":[55],"locate":[57],"faults.":[61],"In":[62,111],"model,":[64],"time":[66],"window":[67],"used":[69,103],"perform":[71],"sliding":[72],"sampling":[73],"on":[74],"fault":[76,106,145],"data":[77,81],"generate":[79],"set,":[82],"which":[83],"not":[84],"only":[85],"speeds":[86],"up":[87],"training":[89],"process,":[90],"but":[91],"also":[92],"retains":[93],"temporal":[95],"correlation":[96],"data.":[99],"Two":[100],"CNNs":[101],"achieve":[105],"detection":[107,146],"location,":[109],"respectively.":[110],"addition,":[112],"Gaussian":[113],"white":[114],"noise":[115],"added":[117],"test":[120],"set":[121],"evaluate":[123],"anti-interference":[125],"ability":[126],"model.":[129],"results":[131],"show":[132],"that":[133],"model":[135],"has":[136],"good":[137],"performance":[138],"high":[140],"stability":[141],"for":[142],"location.":[148]},"counts_by_year":[],"updated_date":"2025-12-26T23:08:49.675405","created_date":"2025-10-10T00:00:00"}
