{"id":"https://openalex.org/W3002368185","doi":"https://doi.org/10.1109/tim.2020.2969057","title":"Detection Method Based on Automatic Visual Shape Clustering for Pin-Missing Defect in Transmission Lines","display_name":"Detection Method Based on Automatic Visual Shape Clustering for Pin-Missing Defect in Transmission Lines","publication_year":2020,"publication_date":"2020-01-24","ids":{"openalex":"https://openalex.org/W3002368185","doi":"https://doi.org/10.1109/tim.2020.2969057","mag":"3002368185"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2020.2969057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.2969057","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/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, Baoding, 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, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012375814","display_name":"Hongyu Qi","orcid":"https://orcid.org/0000-0001-6158-4618"},"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":"Hongyu Qi","raw_affiliation_strings":["School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China"],"raw_orcid":"https://orcid.org/0000-0001-6158-4618","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077024259","display_name":"Yincheng Qi","orcid":"https://orcid.org/0000-0002-4690-1125"},"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":"Yincheng Qi","raw_affiliation_strings":["School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China"],"raw_orcid":"https://orcid.org/0000-0002-4690-1125","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101836976","display_name":"Ke Zhang","orcid":"https://orcid.org/0000-0001-7166-6262"},"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":"Ke Zhang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China"],"raw_orcid":"https://orcid.org/0000-0001-7166-6262","affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074922762","display_name":"Yongjie Zhai","orcid":"https://orcid.org/0000-0003-2997-5840"},"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":"Yongjie Zhai","raw_affiliation_strings":["Department of Automation, North China Electric Power University, Baoding, China"],"raw_orcid":"https://orcid.org/0000-0003-2997-5840","affiliations":[{"raw_affiliation_string":"Department of Automation, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","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 Computer Science and Technology, North China Electric Power University, Baoding, China"],"raw_orcid":"https://orcid.org/0000-0001-6240-608X","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, North China Electric Power University, Baoding, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":13.5582,"has_fulltext":false,"cited_by_count":124,"citation_normalized_percentile":{"value":0.98829484,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"69","issue":"9","first_page":"6080","last_page":"6091"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T13715","display_name":"Power Line Inspection Robots","score":0.9869999885559082,"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":0.986299991607666,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7392268180847168},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6625877618789673},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6457026600837708},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6392338871955872},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6182693839073181},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.553395688533783},{"id":"https://openalex.org/keywords/electric-power-transmission","display_name":"Electric power transmission","score":0.5238920450210571},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5133008360862732},{"id":"https://openalex.org/keywords/troubleshooting","display_name":"Troubleshooting","score":0.5098502039909363},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.48392778635025024},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.44523435831069946},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43079033493995667},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.26677438616752625}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7392268180847168},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6625877618789673},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6457026600837708},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6392338871955872},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6182693839073181},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.553395688533783},{"id":"https://openalex.org/C140311924","wikidata":"https://www.wikidata.org/wiki/Q200928","display_name":"Electric power transmission","level":2,"score":0.5238920450210571},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5133008360862732},{"id":"https://openalex.org/C147494362","wikidata":"https://www.wikidata.org/wiki/Q2078905","display_name":"Troubleshooting","level":2,"score":0.5098502039909363},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.48392778635025024},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.44523435831069946},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43079033493995667},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.26677438616752625},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2020.2969057","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2020.2969057","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/G2005791215","display_name":null,"funder_award_id":"201900051","funder_id":"https://openalex.org/F4320326873","funder_display_name":"National Laboratory of Pattern Recognition"},{"id":"https://openalex.org/G2660213113","display_name":null,"funder_award_id":"2018MS095","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/G5549289802","display_name":null,"funder_award_id":"F2016502101","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G5595137780","display_name":null,"funder_award_id":"2018MS094","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6660229963","display_name":null,"funder_award_id":"61302163","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G690056486","display_name":null,"funder_award_id":"F2015502062","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G7768632610","display_name":null,"funder_award_id":"4192055","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G7998759145","display_name":null,"funder_award_id":"61401154","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8033676014","display_name":null,"funder_award_id":"61871182","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"},{"id":"https://openalex.org/G8361512556","display_name":null,"funder_award_id":"F2017502016","funder_id":"https://openalex.org/F4320322163","funder_display_name":"Natural Science Foundation of Hebei Province"}],"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/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320326873","display_name":"National Laboratory of Pattern Recognition","ror":null},{"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":41,"referenced_works":["https://openalex.org/W234388709","https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1677409904","https://openalex.org/W1686810756","https://openalex.org/W1979826896","https://openalex.org/W2023737675","https://openalex.org/W2040483045","https://openalex.org/W2102605133","https://openalex.org/W2141584146","https://openalex.org/W2151103935","https://openalex.org/W2194775991","https://openalex.org/W2383401358","https://openalex.org/W2389234269","https://openalex.org/W2478495071","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2605349868","https://openalex.org/W2764067741","https://openalex.org/W2772386856","https://openalex.org/W2777206593","https://openalex.org/W2783876128","https://openalex.org/W2791709739","https://openalex.org/W2791837766","https://openalex.org/W2792249564","https://openalex.org/W2796347433","https://openalex.org/W2799112149","https://openalex.org/W2829655003","https://openalex.org/W2890715498","https://openalex.org/W2894675256","https://openalex.org/W2919115771","https://openalex.org/W2963037989","https://openalex.org/W2963150697","https://openalex.org/W2988916019","https://openalex.org/W3106250896","https://openalex.org/W4293584584","https://openalex.org/W6637373629","https://openalex.org/W6637400245","https://openalex.org/W6750227808","https://openalex.org/W6754632766","https://openalex.org/W6785652829"],"related_works":["https://openalex.org/W3013479934","https://openalex.org/W4210597238","https://openalex.org/W4318325534","https://openalex.org/W4206476896","https://openalex.org/W4240398146","https://openalex.org/W2950310564","https://openalex.org/W4238338086","https://openalex.org/W2467308209","https://openalex.org/W2969228573","https://openalex.org/W2963690996"],"abstract_inverted_index":{"Bolts":[0],"are":[1,10,107,125],"the":[2,20,43,65,76,94,110,112,129,135,141,152,160],"most":[3],"numerous":[4],"fasteners":[5],"in":[6,27,96,109],"transmission":[7,28,164],"lines":[8,29,165],"and":[9,35,42,83,117,132,169,176],"prone":[11],"to":[12,18,32,85,134,150],"losing":[13],"their":[14],"split":[15],"pins.":[16],"How":[17],"realize":[19],"automatic":[21,54,58],"pin-missing":[22,66,156],"defect":[23,67,88,122,157],"detection":[24,55,89,123,143,190],"for":[25,64,75],"bolts":[26,80],"so":[30],"as":[31],"achieve":[33,187],"timely":[34],"efficient":[36],"troubleshooting":[37],"is":[38,68,81,148,171,177],"a":[39,87],"difficult":[40],"problem":[41],"long-term":[44],"research":[45],"target":[46],"of":[47,79,145,155,163],"power":[48],"systems.":[49],"In":[50,138],"this":[51,139],"article,":[52,140],"an":[53,71],"model":[56,90,144],"called":[57],"visual":[59,77,97],"shape":[60],"clustering":[61,73],"network":[62,104],"(AVSCNet)":[63],"constructed.":[69],"First,":[70],"unsupervised":[72],"method":[74,185],"shapes":[78],"proposed":[82],"applied":[84],"construct":[86],"that":[91,183],"can":[92,186],"learn":[93],"difference":[95],"shape.":[98],"Next,":[99],"three":[100],"deep":[101],"convolutional":[102],"neural":[103],"optimization":[105],"methods":[106],"used":[108,149],"model:":[111],"feature":[113,115,119],"enhancement,":[114],"fusion,":[116],"region":[118],"extraction.":[120],"The":[121,180],"results":[124,181],"obtained":[126],"by":[127,159,173],"applying":[128],"regression":[130],"calculation":[131],"classification":[133],"regional":[136],"features.":[137],"object":[142],"different":[146],"networks":[147],"test":[151],"data":[153],"set":[154],"constructed":[158],"aerial":[161],"images":[162],"from":[166],"multiple":[167],"locations,":[168],"it":[170],"evaluated":[172],"various":[174],"indicators":[175],"fully":[178],"verified.":[179],"show":[182],"our":[184],"considerably":[188],"satisfactory":[189],"effect.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":27},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}