{"id":"https://openalex.org/W4406208448","doi":"https://doi.org/10.1109/tim.2025.3527530","title":"ID-YOLO: A Multimodule Optimized Algorithm for Insulator Defect Detection in Power Transmission Lines","display_name":"ID-YOLO: A Multimodule Optimized Algorithm for Insulator Defect Detection in Power Transmission Lines","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4406208448","doi":"https://doi.org/10.1109/tim.2025.3527530"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3527530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3527530","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/A5100381938","display_name":"Qiang Zhang","orcid":"https://orcid.org/0000-0002-7859-019X"},"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":"Qiang Zhang","raw_affiliation_strings":["School of Electrical and Control Engineering, Liaoning Technical University, Huludao, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Liaoning Technical University, Huludao, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103183295","display_name":"Jianing Zhang","orcid":"https://orcid.org/0009-0001-5110-8375"},"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":"Jianing Zhang","raw_affiliation_strings":["School of Electrical and Control Engineering, Liaoning Technical University, Huludao, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Liaoning Technical University, Huludao, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100558148","display_name":"Ying Li","orcid":"https://orcid.org/0009-0006-4445-0697"},"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":["School of Electrical and Control Engineering, Liaoning Technical University, Huludao, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Liaoning Technical University, Huludao, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109099239","display_name":"Changfei Zhu","orcid":null},"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":"Changfei Zhu","raw_affiliation_strings":["School of Electrical and Control Engineering, Liaoning Technical University, Huludao, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Liaoning Technical University, Huludao, China","institution_ids":["https://openalex.org/I176808543"]}]},{"author_position":"last","author":{"id":null,"display_name":"Guifang Wang","orcid":"https://orcid.org/0009-0009-1764-667X"},"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":"Guifang Wang","raw_affiliation_strings":["School of Electrical and Control Engineering, Liaoning Technical University, Huludao, China"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Control Engineering, Liaoning Technical University, Huludao, China","institution_ids":["https://openalex.org/I176808543"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100381938"],"corresponding_institution_ids":["https://openalex.org/I176808543"],"apc_list":null,"apc_paid":null,"fwci":29.2338,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.99726795,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9951000213623047,"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":0.9951000213623047,"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":0.9775000214576721,"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/T11606","display_name":"Infrastructure Maintenance and Monitoring","score":0.9656000137329102,"subfield":{"id":"https://openalex.org/subfields/2205","display_name":"Civil and Structural 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/electric-power-transmission","display_name":"Electric power transmission","score":0.6758337616920471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.628725528717041},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5390142798423767},{"id":"https://openalex.org/keywords/transmission","display_name":"Transmission (telecommunications)","score":0.43736886978149414},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4322342276573181},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.43068695068359375},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.421195387840271},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37847864627838135},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2559930086135864}],"concepts":[{"id":"https://openalex.org/C140311924","wikidata":"https://www.wikidata.org/wiki/Q200928","display_name":"Electric power transmission","level":2,"score":0.6758337616920471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.628725528717041},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5390142798423767},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.43736886978149414},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4322342276573181},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.43068695068359375},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.421195387840271},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37847864627838135},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2559930086135864},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3527530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3527530","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":[{"score":0.8399999737739563,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G2793215598","display_name":null,"funder_award_id":"62203197","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G905459252","display_name":null,"funder_award_id":"2022-BS-330","funder_id":"https://openalex.org/F4320330790","funder_display_name":"Liaoning Provincial Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320330790","display_name":"Liaoning Provincial Postdoctoral Science Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W2102605133","https://openalex.org/W2109255472","https://openalex.org/W2194775991","https://openalex.org/W2412782625","https://openalex.org/W2565639579","https://openalex.org/W2962834855","https://openalex.org/W2963037989","https://openalex.org/W2963840672","https://openalex.org/W3018757597","https://openalex.org/W3034971973","https://openalex.org/W3042011474","https://openalex.org/W3134054343","https://openalex.org/W3177349073","https://openalex.org/W3191261279","https://openalex.org/W3193476445","https://openalex.org/W3194790201","https://openalex.org/W4281790833","https://openalex.org/W4283331019","https://openalex.org/W4285410123","https://openalex.org/W4287889566","https://openalex.org/W4289752563","https://openalex.org/W4292972665","https://openalex.org/W4293057111","https://openalex.org/W4297676427","https://openalex.org/W4320168479","https://openalex.org/W4376108443","https://openalex.org/W4379053740","https://openalex.org/W4385834357","https://openalex.org/W4386076325","https://openalex.org/W4386838102","https://openalex.org/W4389441979","https://openalex.org/W6620707391","https://openalex.org/W6750227808"],"related_works":["https://openalex.org/W2966817510","https://openalex.org/W2118169057","https://openalex.org/W2105184125","https://openalex.org/W2388624107","https://openalex.org/W4360987470","https://openalex.org/W3214010758","https://openalex.org/W4225826676","https://openalex.org/W3089663803","https://openalex.org/W4388192261","https://openalex.org/W2884398614"],"abstract_inverted_index":{"Insulators":[0],"play":[1],"a":[2,75,206,217],"crucial":[3],"role":[4],"in":[5,9,61,69,149,258,262],"providing":[6],"electrical":[7],"isolation":[8],"power":[10,36,263],"transmission":[11,37,264],"lines,":[12,38],"and":[13,26,40,43,66,96,126,144,190,251],"timely":[14,41],"detection":[15,42,142,218,241],"of":[16,32,35,45,49,55,59,64,103,168,203,220],"their":[17,67],"defects":[18,47,68,261],"is":[19],"vital":[20],"to":[21,81,93,138,162,179],"avoid":[22],"severe":[23],"human":[24],"life":[25],"property":[27],"losses.":[28],"In":[29],"the":[30,53,56,88,101,109,123,132,140,155,165,174,181,186,210,226,236,246],"context":[31],"drone":[33],"inspections":[34],"accurate":[39],"localization":[44,188],"insulator":[46,260],"are":[48],"paramount":[50],"importance.":[51],"Considering":[52],"inadequacy":[54],"YOLO":[57],"series":[58],"algorithms":[60],"extracting":[62],"features":[63],"insulators":[65],"complex":[70],"backgrounds,":[71],"we":[72,86,107,130,153,172],"have":[73],"designed":[74],"method":[76],"called":[77],"Insulator":[78],"Defect-YOLO":[79],"(ID-YOLO)":[80],"address":[82],"this":[83],"challenge.":[84],"First,":[85],"develop":[87,131],"Global":[89],"Convolution":[90],"(GConv)":[91],"module":[92,137,161],"integrate":[94],"spatial":[95],"channel":[97],"information,":[98],"thereby":[99,184],"enhancing":[100],"effectiveness":[102],"feature":[104,124],"extraction.":[105],"Second,":[106],"built":[108,154],"C3-Global":[110],"Pooling":[111],"Fusion":[112,135,159],"(C3-GPF)":[113],"module,":[114],"aimed":[115],"at":[116],"strengthening":[117],"focus":[118],"on":[119],"key":[120,169],"data":[121],"during":[122],"extraction":[125],"fusion":[127,166],"stages.":[128],"Third,":[129],"Multi-Scale":[133],"Information":[134,158],"(MSIF)":[136],"balance":[139],"algorithm\u2019s":[141,187],"accuracy":[143],"speed,":[145],"ensuring":[146],"superior":[147],"performance":[148],"practical":[150],"applications.":[151],"Fourth,":[152],"Weighted":[156],"Feature":[157],"(WFIF)":[160],"further":[163],"enhance":[164],"capability":[167],"information.":[170],"Finally,":[171],"adopt":[173],"SCYLLA-IoU":[175],"(SIoU)":[176],"loss":[177],"function":[178],"replace":[180],"original":[182],"CIoU,":[183],"improving":[185],"precision":[189,202,242],"accelerating":[191],"convergence":[192],"speed.":[193],"Experimental":[194],"results":[195,233],"indicate":[196],"that":[197,235],"ID-YOLO":[198,215,237],"achieves":[199,216],"an":[200],"average":[201],"90.9%,":[204],"representing":[205],"3.3%":[207],"improvement":[208],"over":[209],"baseline":[211],"YOLOv5s":[212],"algorithm.":[213],"Additionally,":[214],"speed":[219],"90":[221],"frames":[222],"per":[223],"second,":[224],"meeting":[225],"requirements":[227],"for":[228],"real-time":[229],"detection.":[230],"Practical":[231],"test":[232],"demonstrate":[234],"algorithm":[238],"significantly":[239],"improves":[240],"while":[243],"effectively":[244],"addressing":[245],"challenges":[247],"associated":[248],"with":[249],"multi-object":[250],"small-object":[252],"detection,":[253],"showcasing":[254],"its":[255],"potential":[256],"application":[257],"detecting":[259],"lines.":[265]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":18}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}