{"id":"https://openalex.org/W4387934872","doi":"https://doi.org/10.1109/access.2023.3327449","title":"Faulty Line Identification in AC\u2013DC Hybrid Grids Based on MTF and Improved Resnet","display_name":"Faulty Line Identification in AC\u2013DC Hybrid Grids Based on MTF and Improved Resnet","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387934872","doi":"https://doi.org/10.1109/access.2023.3327449"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3327449","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3327449","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10295471.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":null,"license_id":null,"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/ielx7/6287639/6514899/10295471.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026469938","display_name":"Hao Wu","orcid":"https://orcid.org/0009-0001-4791-8121"},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Wu","raw_affiliation_strings":["Automation and Information Engineering, Sichuan University of Science & Engineering, Sichuan, Zigong, China","Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"Automation and Information Engineering, Sichuan University of Science & Engineering, Sichuan, Zigong, China","institution_ids":["https://openalex.org/I64852412"]},{"raw_affiliation_string":"Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, Sichuan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012706230","display_name":"Weizhe Chen","orcid":"https://orcid.org/0009-0003-2702-2357"},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weizhe Chen","raw_affiliation_strings":["Automation and Information Engineering, Sichuan University of Science & Engineering, Sichuan, Zigong, China","Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"Automation and Information Engineering, Sichuan University of Science & Engineering, Sichuan, Zigong, China","institution_ids":["https://openalex.org/I64852412"]},{"raw_affiliation_string":"Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, Sichuan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088769195","display_name":"Ziyuan Qi","orcid":"https://orcid.org/0009-0003-9969-2966"},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziyuan Qi","raw_affiliation_strings":["Automation and Information Engineering, Sichuan University of Science & Engineering, Sichuan, Zigong, China","Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"Automation and Information Engineering, Sichuan University of Science & Engineering, Sichuan, Zigong, China","institution_ids":["https://openalex.org/I64852412"]},{"raw_affiliation_string":"Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, Sichuan, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111357976","display_name":"Hong Song","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108633","display_name":"Aba Teachers University","ror":"https://ror.org/01gqdjc98","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210108633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Song","raw_affiliation_strings":["School of Automation and Information Engineering, Aba Teachers College, Aba, China"],"affiliations":[{"raw_affiliation_string":"School of Automation and Information Engineering, Aba Teachers College, Aba, China","institution_ids":["https://openalex.org/I4210108633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101294252","display_name":"Haipeng Tian","orcid":null},"institutions":[{"id":"https://openalex.org/I64852412","display_name":"Sichuan University of Science and Engineering","ror":"https://ror.org/053fzma23","country_code":"CN","type":"education","lineage":["https://openalex.org/I64852412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haipeng Tian","raw_affiliation_strings":["Automation and Information Engineering, Sichuan University of Science & Engineering, Sichuan, Zigong, China","Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, Sichuan, China"],"affiliations":[{"raw_affiliation_string":"Automation and Information Engineering, Sichuan University of Science & Engineering, Sichuan, Zigong, China","institution_ids":["https://openalex.org/I64852412"]},{"raw_affiliation_string":"Artificial Intelligence Key Laboratory of Sichuan Province, Zigong, Sichuan, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5026469938"],"corresponding_institution_ids":["https://openalex.org/I64852412"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7504,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71805461,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"11","issue":null,"first_page":"119722","last_page":"119732"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10972","display_name":"Power Systems Fault Detection","score":0.9987999796867371,"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":0.9987999796867371,"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/T11102","display_name":"HVDC Systems and Fault Protection","score":0.9929999709129333,"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/T13183","display_name":"Islanding Detection in Power Systems","score":0.9728999733924866,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6151627898216248},{"id":"https://openalex.org/keywords/line","display_name":"Line (geometry)","score":0.5639875531196594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43999946117401123},{"id":"https://openalex.org/keywords/residual-neural-network","display_name":"Residual neural network","score":0.416853666305542},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10620170831680298},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08278301358222961},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.07581257820129395}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6151627898216248},{"id":"https://openalex.org/C198352243","wikidata":"https://www.wikidata.org/wiki/Q37105","display_name":"Line (geometry)","level":2,"score":0.5639875531196594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43999946117401123},{"id":"https://openalex.org/C2944601119","wikidata":"https://www.wikidata.org/wiki/Q43744058","display_name":"Residual neural network","level":3,"score":0.416853666305542},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10620170831680298},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08278301358222961},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.07581257820129395},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","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/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3327449","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3327449","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10295471.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:bc750722e48b441aab538b16bf7d2216","is_oa":true,"landing_page_url":"https://doaj.org/article/bc750722e48b441aab538b16bf7d2216","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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 11, Pp 119722-119732 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3327449","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3327449","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10295471.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":null,"license_id":null,"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/G2000732783","display_name":null,"funder_award_id":"2021YFG0313","funder_id":"https://openalex.org/F4320322922","funder_display_name":"Department of Science and Technology of Sichuan Province"},{"id":"https://openalex.org/G3539251709","display_name":null,"funder_award_id":"2022ZHCG0035","funder_id":"https://openalex.org/F4320322922","funder_display_name":"Department of Science and Technology of Sichuan Province"},{"id":"https://openalex.org/G4121988346","display_name":null,"funder_award_id":"2022YFS0518","funder_id":"https://openalex.org/F4320322922","funder_display_name":"Department of Science and Technology of Sichuan Province"}],"funders":[{"id":"https://openalex.org/F4320322922","display_name":"Department of Science and Technology of Sichuan Province","ror":"https://ror.org/04323m874"},{"id":"https://openalex.org/F4320322990","display_name":"Sichuan University","ror":"https://ror.org/011ashp19"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387934872.pdf","grobid_xml":"https://content.openalex.org/works/W4387934872.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2009465763","https://openalex.org/W2062184241","https://openalex.org/W2194775991","https://openalex.org/W2618530766","https://openalex.org/W2963163009","https://openalex.org/W3035414587","https://openalex.org/W4376626707","https://openalex.org/W6637373629","https://openalex.org/W6802821011"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2599472179","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890"],"abstract_inverted_index":{"As":[0],"the":[1,18,49,69,74,86,92,101,107,122,131,146,152,160,168,182],"degree":[2],"of":[3,6,103,155],"AC-DC":[4,63,156],"hybridization":[5],"power":[7,158],"grids":[8,65],"is":[9,35,66,71,88,110],"increasing,":[10],"their":[11,26],"fault":[12,22,43,58,123,153,169,186],"characteristics":[13],"become":[14],"more":[15,171],"complex,":[16],"and":[17,84,118,121,128,173,177,201],"current":[19],"hybrid":[20,64,157],"grid":[21,42],"diagnosis":[23,44],"methods,":[24],"despite":[25],"high":[27],"accuracy,":[28],"are":[29,125],"not":[30],"sufficiently":[31],"adaptable,":[32],"so":[33,134],"there":[34],"an":[36,55],"urgent":[37],"need":[38],"to":[39,90,136,196],"study":[40],"new":[41],"methods.":[45],"To":[46],"this":[47],"end,":[48],"Markov":[50],"Transition":[51],"Field":[52],"combined":[53],"with":[54,81],"improved":[56,75,111,132,161],"Resnet":[57],"line":[59,139,187],"identification":[60,188],"method":[61,148,183],"for":[62],"proposed.":[67],"First,":[68],"data":[70],"reconstructed":[72],"by":[73,112,130],"complete":[76],"ensemble":[77],"empirical":[78],"mode":[79],"decomposition":[80],"adaptive":[82],"noise,":[83],"then":[85,99],"MTF":[87],"used":[89],"transform":[91],"one-dimensional":[93],"signal":[94],"into":[95],"a":[96],"two-dimensional":[97],"picture,":[98],"on":[100],"basis":[102],"residual":[104,162],"neural":[105,163],"network,":[106,133],"original":[108],"network":[109,164],"adding":[113],"multi-branch":[114],"cavity":[115],"convolution":[116],"structure":[117],"Ghost":[119],"module,":[120],"features":[124,170],"adaptively":[126],"extracted":[127],"classified":[129],"as":[135],"realize":[137],"faulty":[138],"identification.":[140],"The":[141],"experimental":[142],"results":[143],"show":[144],"that":[145],"proposed":[147],"can":[149,165],"effectively":[150],"identify":[151],"lines":[154],"grid,":[159],"dig":[166],"out":[167],"deeply,":[172],"has":[174,184,191],"strong":[175],"anti-noise":[176],"anti-data":[178],"loss":[179],"interference":[180],"ability,":[181],"99.91%":[185],"accuracy.":[189],"It":[190],"higher":[192],"recognition":[193],"performance":[194],"compared":[195],"traditional":[197],"machine":[198],"learning":[199,204],"algorithms":[200],"various":[202],"deep":[203],"algorithms.":[205]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2023-10-26T00:00:00"}