{"id":"https://openalex.org/W3200605425","doi":"https://doi.org/10.1109/tim.2021.3112227","title":"An Insulator in Transmission Lines Recognition and Fault Detection Model Based on Improved Faster RCNN","display_name":"An Insulator in Transmission Lines Recognition and Fault Detection Model Based on Improved Faster RCNN","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3200605425","doi":"https://doi.org/10.1109/tim.2021.3112227","mag":"3200605425"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2021.3112227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3112227","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","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/A5044107601","display_name":"Wenqing Zhao","orcid":"https://orcid.org/0000-0001-6240-608X"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqing Zhao","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Engineering Research Center of Intelligent Computing for Complex Energy Systems, Ministry of Education, Baoding 071000, China"],"raw_orcid":"https://orcid.org/0000-0001-6240-608X","affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Engineering Research Center of Intelligent Computing for Complex Energy Systems, Ministry of Education, Baoding 071000, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038173707","display_name":"Minfu Xu","orcid":"https://orcid.org/0000-0003-3138-4695"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minfu Xu","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Hebei 071000, China"],"raw_orcid":"https://orcid.org/0000-0003-3138-4695","affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Hebei 071000, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088181884","display_name":"Xingfu Cheng","orcid":"https://orcid.org/0000-0003-4169-7134"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingfu Cheng","raw_affiliation_strings":["School of Control and Computer Engineering, North China Electric Power University, Hebei 071000, China"],"raw_orcid":"https://orcid.org/0000-0003-4169-7134","affiliations":[{"raw_affiliation_string":"School of Control and Computer Engineering, North China Electric Power University, Hebei 071000, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085263743","display_name":"Zhenbing Zhao","orcid":"https://orcid.org/0000-0003-2290-0598"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenbing Zhao","raw_affiliation_strings":["School of Electrical and Electronic Engineering, North China Electric Power University, Hebei 071000, China"],"raw_orcid":"https://orcid.org/0000-0003-2290-0598","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, North China Electric Power University, Hebei 071000, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":11.936,"has_fulltext":false,"cited_by_count":203,"citation_normalized_percentile":{"value":0.99113061,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"70","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13715","display_name":"Power Line Inspection Robots","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.9731000065803528,"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/insulator","display_name":"Insulator (electricity)","score":0.6865613460540771},{"id":"https://openalex.org/keywords/electric-power-transmission","display_name":"Electric power transmission","score":0.6755305528640747},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.63381028175354},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.595923662185669},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5131188035011292},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5020880699157715},{"id":"https://openalex.org/keywords/transmission-line","display_name":"Transmission line","score":0.44971737265586853},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44070008397102356},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3885144889354706},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.36441922187805176},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.34590083360671997},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.12796801328659058}],"concepts":[{"id":"https://openalex.org/C212702","wikidata":"https://www.wikidata.org/wiki/Q178150","display_name":"Insulator (electricity)","level":2,"score":0.6865613460540771},{"id":"https://openalex.org/C140311924","wikidata":"https://www.wikidata.org/wiki/Q200928","display_name":"Electric power transmission","level":2,"score":0.6755305528640747},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.63381028175354},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.595923662185669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5131188035011292},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5020880699157715},{"id":"https://openalex.org/C33441834","wikidata":"https://www.wikidata.org/wiki/Q693004","display_name":"Transmission line","level":2,"score":0.44971737265586853},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44070008397102356},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3885144889354706},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.36441922187805176},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.34590083360671997},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.12796801328659058},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"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/tim.2021.3112227","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2021.3112227","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"is_oa":false,"is_in_doaj":false,"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 Transactions on Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1777284515","display_name":null,"funder_award_id":"2020MS153","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2889631022","display_name":"\u57fa\u4e8e\u6df1\u5ea6\u89c6\u89c9\u77e5\u8bc6\u8868\u8fbe\u7684\u8f93\u7535\u7ebf\u8def\u87ba\u6813\u8868\u9762\u72b6\u6001\u68c0\u6d4b\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61871182","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3453591553","display_name":null,"funder_award_id":"61773160","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4263566703","display_name":null,"funder_award_id":"F2021502013","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G8102142471","display_name":null,"funder_award_id":"2021PT018","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322163","display_name":"Natural Science Foundation of Hebei Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1686810756","https://openalex.org/W1978459068","https://openalex.org/W2090917713","https://openalex.org/W2141307309","https://openalex.org/W2382849207","https://openalex.org/W2539675563","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2625853594","https://openalex.org/W2783516066","https://openalex.org/W2807888105","https://openalex.org/W2886970679","https://openalex.org/W2889358773","https://openalex.org/W2897772777","https://openalex.org/W2910009410","https://openalex.org/W2912675002","https://openalex.org/W2923974506","https://openalex.org/W3000301935","https://openalex.org/W3001292640","https://openalex.org/W3002368185","https://openalex.org/W3012251373","https://openalex.org/W3106250896","https://openalex.org/W3128028985","https://openalex.org/W6637373629","https://openalex.org/W6747658181","https://openalex.org/W6753998590","https://openalex.org/W6772643599","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W4360995741","https://openalex.org/W4391185071","https://openalex.org/W2113932228","https://openalex.org/W4306816486","https://openalex.org/W2389212530","https://openalex.org/W3115307632","https://openalex.org/W4255886484","https://openalex.org/W2369732535","https://openalex.org/W787855002","https://openalex.org/W2949628984"],"abstract_inverted_index":{"Insulators":[0],"are":[1],"critical":[2],"electric":[3],"components":[4],"in":[5,36,51,205],"transmission":[6,26,206],"lines.":[7,27],"Recognizing":[8],"insulators":[9,90,184,189],"and":[10,15,23,33,39,45,60,87,107,113,131,139,159,173,185,208],"detecting":[11],"the":[12,21,52,57,67,74,83,89,94,98,103,109,125,146,155,165,191,195,199],"faults":[13,204],"timely":[14],"accurately":[16],"is":[17],"essential":[18],"for":[19,120,182,187],"maintaining":[20],"safety":[22],"stability":[24],"of":[25,127,180,202],"Traditional":[28],"methods":[29],"have":[30],"low":[31],"accuracy":[32],"poor":[34],"applicability":[35],"insulator":[37,43,58,147,157,203],"recognition":[38,44,59,158],"fault":[40,46,61,148,160,168],"detection.":[41,149],"An":[42],"detection":[47,62,161],"model":[48,86,162],"was":[49],"proposed":[50,156,196],"paper":[53],"aiming":[54],"at":[55],"improving":[56],"accuracy.":[63],"Firstly,":[64],"based":[65],"on":[66,190],"Faster":[68,84],"Region":[69],"Convolutional":[70],"Neural":[71],"Network":[72],"(RCNN),":[73],"Feature":[75],"Pyramid":[76],"Networks":[77],"(FPN)":[78],"were":[79,142],"used":[80,143],"to":[81,101,124,144],"improve":[82],"RCNN":[85],"locate":[88],"with":[91,170],"complex":[92],"backgrounds":[93],"image.":[95],"Then,":[96],"clip":[97],"target":[99],"area":[100],"remove":[102],"redundant":[104],"background":[105,129],"noise,":[106,130],"apply":[108],"HSV":[110],"(Hue,":[111],"Saturation":[112],"Value)":[114],"color":[115],"space":[116],"adaptive":[117],"threshold":[118],"algorithm":[119],"image":[121,137],"segmentation":[122],"due":[123],"influence":[126],"light,":[128],"shooting":[132],"angle.":[133],"Finally,":[134],"line":[135],"detection,":[136],"rotation,":[138],"vertical":[140],"projection":[141],"finish":[145],"The":[150],"experimental":[151],"results":[152],"show":[153],"that":[154],"can":[163],"recognize":[164],"insulators,":[166],"detect":[167],"types":[169],"better":[171],"accuracy,":[172],"achieve":[174],"a":[175],"mean":[176],"Average":[177],"Precision":[178],"(mAP)":[179],"90.8%":[181],"glass":[183],"91.7%":[186],"composite":[188],"testing":[192],"dataset.":[193],"Additionally,":[194],"method":[197],"meets":[198],"intelligent":[200],"inspection":[201],"lines":[207],"has":[209],"good":[210],"engineering":[211],"application":[212],"value.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":15},{"year":2025,"cited_by_count":65},{"year":2024,"cited_by_count":48},{"year":2023,"cited_by_count":48},{"year":2022,"cited_by_count":26},{"year":2021,"cited_by_count":1}],"updated_date":"2026-06-17T08:01:34.144755","created_date":"2025-10-10T00:00:00"}
