{"id":"https://openalex.org/W4404608900","doi":"https://doi.org/10.1109/icmlca63499.2024.10754360","title":"Object Detection of Insulator and its Self-Explosive Defect Identification Based on Lightweight YOLOv5","display_name":"Object Detection of Insulator and its Self-Explosive Defect Identification Based on Lightweight YOLOv5","publication_year":2024,"publication_date":"2024-10-18","ids":{"openalex":"https://openalex.org/W4404608900","doi":"https://doi.org/10.1109/icmlca63499.2024.10754360"},"language":"en","primary_location":{"id":"doi:10.1109/icmlca63499.2024.10754360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlca63499.2024.10754360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Machine Learning and Computer Application (ICMLCA)","raw_type":"proceedings-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/A5110650925","display_name":"Zibin Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zibin Zhao","raw_affiliation_strings":["China Southern Power Grid, Novel Electric Power System, (BEIJING) Research Institute Co., Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Southern Power Grid, Novel Electric Power System, (BEIJING) Research Institute Co., Ltd.,Beijing,China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110788275","display_name":"Shengcan Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengcan Yu","raw_affiliation_strings":["China Southern Power Grid, Novel Electric Power System, (BEIJING) Research Institute Co., Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Southern Power Grid, Novel Electric Power System, (BEIJING) Research Institute Co., Ltd.,Beijing,China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030163361","display_name":"Yiqing Lian","orcid":null},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqing Lian","raw_affiliation_strings":["China Southern Power Grid Co., Ltd.,Guangzhou,China"],"affiliations":[{"raw_affiliation_string":"China Southern Power Grid Co., Ltd.,Guangzhou,China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001023087","display_name":"Zhen Huang","orcid":"https://orcid.org/0000-0001-6427-915X"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Huang","raw_affiliation_strings":["China Southern Power Grid, Novel Electric Power System, (BEIJING) Research Institute Co., Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Southern Power Grid, Novel Electric Power System, (BEIJING) Research Institute Co., Ltd.,Beijing,China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065815824","display_name":"Jiaxuan Hou","orcid":"https://orcid.org/0000-0002-9994-5930"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaxuan Hou","raw_affiliation_strings":["China Southern Power Grid, Novel Electric Power System, (BEIJING) Research Institute Co., Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Southern Power Grid, Novel Electric Power System, (BEIJING) Research Institute Co., Ltd.,Beijing,China","institution_ids":["https://openalex.org/I74872605"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101732336","display_name":"Haixin Liu","orcid":"https://orcid.org/0000-0001-5117-3241"},"institutions":[{"id":"https://openalex.org/I74872605","display_name":"China Southern Power Grid (China)","ror":"https://ror.org/03hkh9419","country_code":"CN","type":"company","lineage":["https://openalex.org/I74872605"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haixin Liu","raw_affiliation_strings":["China Southern Power Grid, Novel Electric Power System, (BEIJING) Research Institute Co., Ltd.,Beijing,China"],"affiliations":[{"raw_affiliation_string":"China Southern Power Grid, Novel Electric Power System, (BEIJING) Research Institute Co., Ltd.,Beijing,China","institution_ids":["https://openalex.org/I74872605"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5110650925"],"corresponding_institution_ids":["https://openalex.org/I74872605"],"apc_list":null,"apc_paid":null,"fwci":0.3814,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.66993513,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"503","last_page":"508"},"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":0.717199981212616,"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":0.717199981212616,"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/T12389","display_name":"Infrared Target Detection Methodologies","score":0.6237999796867371,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace 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/T12222","display_name":"IoT-based Smart Home Systems","score":0.6036999821662903,"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/explosive-material","display_name":"Explosive material","score":0.8757792711257935},{"id":"https://openalex.org/keywords/insulator","display_name":"Insulator (electricity)","score":0.6176416873931885},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6103321313858032},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5925756692886353},{"id":"https://openalex.org/keywords/explosive-detection","display_name":"Explosive detection","score":0.4902532398700714},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.463100403547287},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.43598830699920654},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.4248020350933075},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3834061324596405},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35383671522140503},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.25374287366867065},{"id":"https://openalex.org/keywords/optoelectronics","display_name":"Optoelectronics","score":0.1503765881061554}],"concepts":[{"id":"https://openalex.org/C154238967","wikidata":"https://www.wikidata.org/wiki/Q12870","display_name":"Explosive material","level":2,"score":0.8757792711257935},{"id":"https://openalex.org/C212702","wikidata":"https://www.wikidata.org/wiki/Q178150","display_name":"Insulator (electricity)","level":2,"score":0.6176416873931885},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6103321313858032},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5925756692886353},{"id":"https://openalex.org/C2779461545","wikidata":"https://www.wikidata.org/wiki/Q5421441","display_name":"Explosive detection","level":3,"score":0.4902532398700714},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.463100403547287},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.43598830699920654},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.4248020350933075},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3834061324596405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35383671522140503},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.25374287366867065},{"id":"https://openalex.org/C49040817","wikidata":"https://www.wikidata.org/wiki/Q193091","display_name":"Optoelectronics","level":1,"score":0.1503765881061554},{"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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlca63499.2024.10754360","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlca63499.2024.10754360","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 5th International Conference on Machine Learning and Computer Application (ICMLCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W2102605133","https://openalex.org/W2570343428","https://openalex.org/W2948713137","https://openalex.org/W2963037989","https://openalex.org/W3035414587","https://openalex.org/W3120916259","https://openalex.org/W4246399668","https://openalex.org/W4297912733","https://openalex.org/W4309026313","https://openalex.org/W4379053740","https://openalex.org/W4389818047","https://openalex.org/W6847643521"],"related_works":["https://openalex.org/W2360372803","https://openalex.org/W2383257194","https://openalex.org/W2538864173","https://openalex.org/W2134017570","https://openalex.org/W2468793055","https://openalex.org/W2390524628","https://openalex.org/W627696368","https://openalex.org/W4280652885","https://openalex.org/W2358713426","https://openalex.org/W2061571732"],"abstract_inverted_index":{"To":[0],"address":[1],"the":[2,49,64,69,75,84,117,120,124,181],"issue":[3],"of":[4,54,87,138,155],"large":[5],"model":[6,61,91,182],"size":[7],"in":[8,68,168,171,187],"existing":[9],"transmission":[10,26],"line":[11,27],"insulator":[12,101],"detection":[13,23,66,173],"models,":[14],"which":[15,104],"limits":[16],"flexible":[17],"deployment,":[18],"this":[19],"study":[20],"proposes":[21],"a":[22,165],"method":[24],"for":[25,184],"insulators":[28,106],"and":[29,74,94,107,128,133,140],"their":[30,108],"self-explosive":[31],"defects":[32],"based":[33],"on":[34,96,178],"an":[35,57,149],"improved":[36],"You":[37],"Only":[38],"Look":[39],"Once":[40],"v5n":[41],"(YOLOv5n).":[42],"First,":[43],"GhostNet_050":[44],"is":[45,72,92],"used":[46],"to":[47,116,131],"replace":[48],"original":[50],"backbone":[51],"network":[52],"Darknet53":[53],"YOLOv5n,":[55,119],"providing":[56],"initial":[58],"step":[59],"towards":[60],"lightweighting.":[62],"Next,":[63],"small-object":[65],"layer":[67],"neck":[70],"structure":[71],"removed,":[73],"standard":[76],"convolutions":[77],"are":[78],"replaced":[79],"with":[80,148,175],"Ghost":[81],"convolutions,":[82],"completing":[83],"lightweight":[85],"optimization":[86],"YOLOv5n.":[88],"The":[89],"modified":[90],"trained":[93],"validated":[95],"publicly":[97],"available":[98],"synthetic":[99],"foggy":[100],"dataset":[102],"(SFID),":[103],"contains":[105],"self-explosion":[109],"defects.":[110],"Experimental":[111],"results":[112],"show":[113],"that,":[114],"compared":[115],"baseline":[118],"proposed":[121],"modifications":[122],"reduce":[123],"model's":[125],"parameter":[126],"count":[127],"computational":[129,169],"load":[130],"0.62M":[132],"1.11":[134],"GFLOPS,":[135],"representing":[136],"decreases":[137],"64.97%":[139],"73.32%,":[141],"respectively.":[142],"Additionally,":[143],"mean":[144],"average":[145],"precision":[146],"(mAP)":[147],"intersection":[150],"over":[151],"union":[152],"(IoU)":[153],"threshold":[154],"0.5":[156],"only":[157],"decreased":[158],"by":[159],"0.06%,":[160],"reaching":[161],"97.87%.":[162],"This":[163],"indicates":[164],"significant":[166],"reduction":[167],"resources":[170],"specific":[172],"scenarios":[174],"minimal":[176],"impact":[177],"accuracy,":[179],"making":[180],"well-suited":[183],"real-time":[185],"deployment":[186],"resource-constrained":[188],"environments.":[189]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
