{"id":"https://openalex.org/W3090166999","doi":"https://doi.org/10.1109/access.2020.3027002","title":"Series Arc Fault Diagnosis and Line Selection Method Based on Recurrent Neural Network","display_name":"Series Arc Fault Diagnosis and Line Selection Method Based on Recurrent Neural Network","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3090166999","doi":"https://doi.org/10.1109/access.2020.3027002","mag":"3090166999"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3027002","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3027002","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09206574.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/ielx7/6287639/8948470/09206574.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036025518","display_name":"Wenchu Li","orcid":"https://orcid.org/0000-0003-2170-8115"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenchu Li","raw_affiliation_strings":["Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065604481","display_name":"Yanli Liu","orcid":"https://orcid.org/0000-0003-1596-397X"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanli Liu","raw_affiliation_strings":["Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704234","display_name":"Ying Li","orcid":"https://orcid.org/0000-0002-1131-932X"},"institutions":[{"id":"https://openalex.org/I176808543","display_name":"Liaoning Technical University","ror":"https://ror.org/01n2bd587","country_code":"CN","type":"education","lineage":["https://openalex.org/I176808543"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Li","raw_affiliation_strings":["Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, China"],"affiliations":[{"raw_affiliation_string":"Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040650687","display_name":"Fengyi Guo","orcid":"https://orcid.org/0000-0002-2785-8109"},"institutions":[{"id":"https://openalex.org/I146620803","display_name":"Wenzhou University","ror":"https://ror.org/020hxh324","country_code":"CN","type":"education","lineage":["https://openalex.org/I146620803"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengyi Guo","raw_affiliation_strings":["College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou, China","institution_ids":["https://openalex.org/I146620803"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5036025518"],"corresponding_institution_ids":["https://openalex.org/I176808543"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.9049,"has_fulltext":true,"cited_by_count":55,"citation_normalized_percentile":{"value":0.91567952,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"177815","last_page":"177822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12737","display_name":"Electrical Fault Detection and Protection","score":0.9997000098228455,"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":0.9997000098228455,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.982200026512146,"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/T10809","display_name":"Occupational Health and Safety Research","score":0.9812999963760376,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7370615005493164},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6273982524871826},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5650838017463684},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4649454653263092},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4562772810459137},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.45511677861213684},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4505416452884674},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44030216336250305},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.43825098872184753},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.43621155619621277},{"id":"https://openalex.org/keywords/arc-fault-circuit-interrupter","display_name":"Arc-fault circuit interrupter","score":0.4215050935745239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4098644554615021},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.35582804679870605},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.21031454205513},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.13400280475616455},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.1115710437297821}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7370615005493164},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6273982524871826},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5650838017463684},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4649454653263092},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4562772810459137},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.45511677861213684},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4505416452884674},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44030216336250305},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.43825098872184753},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.43621155619621277},{"id":"https://openalex.org/C157069517","wikidata":"https://www.wikidata.org/wiki/Q132172","display_name":"Arc-fault circuit interrupter","level":4,"score":0.4215050935745239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4098644554615021},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.35582804679870605},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.21031454205513},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.13400280475616455},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.1115710437297821},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C68583231","wikidata":"https://www.wikidata.org/wiki/Q206907","display_name":"Short circuit","level":3,"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/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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3027002","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3027002","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09206574.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:doaj.org/article:b42419e496a243da8469d708142a0a9a","is_oa":true,"landing_page_url":"https://doaj.org/article/b42419e496a243da8469d708142a0a9a","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"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 177815-177822 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3027002","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3027002","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09206574.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/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1231421488","display_name":null,"funder_award_id":"under","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2560648409","display_name":null,"funder_award_id":"and 51","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4926490894","display_name":null,"funder_award_id":"51674136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7608752429","display_name":null,"funder_award_id":"Talent","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7836423780","display_name":null,"funder_award_id":"Liaoning","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8800698453","display_name":null,"funder_award_id":"51674","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8931163074","display_name":null,"funder_award_id":"52077158","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8991705862","display_name":null,"funder_award_id":"XLYC1802110","funder_id":"https://openalex.org/F4320329895","funder_display_name":"Liaoning Revitalization Talents Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329895","display_name":"Liaoning Revitalization Talents Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3090166999.pdf","grobid_xml":"https://content.openalex.org/works/W3090166999.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1965863158","https://openalex.org/W1972158585","https://openalex.org/W2045806966","https://openalex.org/W2296747478","https://openalex.org/W2536853808","https://openalex.org/W2572569838","https://openalex.org/W2765462193","https://openalex.org/W2808378779","https://openalex.org/W2903145973","https://openalex.org/W2904069824","https://openalex.org/W2904497993","https://openalex.org/W2904773682","https://openalex.org/W2957590092","https://openalex.org/W2964121744","https://openalex.org/W2971829218","https://openalex.org/W2980153045","https://openalex.org/W2996455563","https://openalex.org/W2998636431","https://openalex.org/W3198249033","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W3139959406","https://openalex.org/W1965012205","https://openalex.org/W1919101720","https://openalex.org/W4390822878","https://openalex.org/W96888382","https://openalex.org/W4386126592","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W1990205660"],"abstract_inverted_index":{"Series":[0],"arc":[1,40,53,78,156,168],"fault":[2,41,54,79,157,169],"is":[3,20,151],"a":[4,67,76,82,162],"common":[5],"phenomenon":[6],"in":[7,72],"the":[8,15,39,88,98,102,105,114,121,126,135,148],"power":[9],"system,":[10,164],"it":[11,26],"will":[12],"directly":[13],"affect":[14],"working":[16],"reliability,":[17],"but":[18],"there":[19],"no":[21],"mature":[22],"method":[23,59,124,131,150],"to":[24,28],"detect":[25],"due":[27],"its":[29],"concealment":[30],"and":[31,49,56,91,111,117,125,134,138,158],"chaos.":[32],"Common":[33],"detection":[34,123,136],"methods":[35],"that":[36,147],"build":[37],"on":[38,61],"eigenvectors":[42],"obtained":[43,100],"by":[44,96],"manual":[45],"analysis":[46,166],"are":[47],"subjective":[48],"incomprehensive.":[50],"A":[51],"series":[52,77,155],"diagnosis":[55],"line":[57,159],"selection":[58,160],"based":[60],"recurrent":[62],"neural":[63],"network":[64],"(RNN)":[65],"for":[66,153],"multi-load":[68,83,163],"system":[69,84],"was":[70,85,108],"proposed":[71,149],"this":[73],"paper.":[74],"Firstly,":[75],"experiment":[80],"under":[81,161],"carried":[86],"out,":[87],"training":[89,115],"set":[90,93,116],"test":[92,118],"were":[94,132,140],"built":[95],"using":[97],"data":[99],"from":[101],"experiment.":[103],"Then,":[104],"RNN":[106],"model":[107],"built,":[109],"trained,":[110],"tested":[112],"through":[113],"set.":[119],"Finally,":[120],"fast-continuous":[122],"probability-based":[127],"classification":[128],"result":[129],"correction":[130],"proposed,":[133],"speed":[137],"accuracy":[139],"improved":[141],"much":[142],"further.":[143],"The":[144],"results":[145],"show":[146],"effective":[152],"diagnosing":[154],"without":[165],"of":[167],"characteristics.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":6}],"updated_date":"2026-03-29T08:15:47.926485","created_date":"2025-10-10T00:00:00"}
