{"id":"https://openalex.org/W7147289227","doi":"https://doi.org/10.1109/jiot.2026.3679322","title":"DPL-DETR: An Insulator Defect Monitoring Method via Dynamic Adaptive Perception and Local\u2013Global Attention Enhanced Fusion Network","display_name":"DPL-DETR: An Insulator Defect Monitoring Method via Dynamic Adaptive Perception and Local\u2013Global Attention Enhanced Fusion Network","publication_year":2026,"publication_date":"2026-03-31","ids":{"openalex":"https://openalex.org/W7147289227","doi":"https://doi.org/10.1109/jiot.2026.3679322"},"language":null,"primary_location":{"id":"doi:10.1109/jiot.2026.3679322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3679322","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5132699126","display_name":"Jianrong Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianrong Wang","raw_affiliation_strings":["School of Automation and Software Engineering, Shanxi University, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-3930-7275","affiliations":[{"raw_affiliation_string":"School of Automation and Software Engineering, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101207601","display_name":"Lu Liu","orcid":"https://orcid.org/0009-0004-3186-9013"},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lu Liu","raw_affiliation_strings":["School of Automation and Software Engineering, Shanxi University, Taiyuan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation and Software Engineering, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5132698098","display_name":"Fengping An","orcid":null},"institutions":[{"id":"https://openalex.org/I181877577","display_name":"Shanxi University","ror":"https://ror.org/03y3e3s17","country_code":"CN","type":"education","lineage":["https://openalex.org/I181877577"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengping An","raw_affiliation_strings":["School of Automation and Software Engineering and the School of Artificial Intelligence, Shanxi University, Taiyuan, China"],"raw_orcid":"https://orcid.org/0000-0002-2220-2987","affiliations":[{"raw_affiliation_string":"School of Automation and Software Engineering and the School of Artificial Intelligence, Shanxi University, Taiyuan, China","institution_ids":["https://openalex.org/I181877577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I181877577"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.32683338,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"12","first_page":"26836","last_page":"26851"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13715","display_name":"Power Line Inspection Robots","score":0.3398999869823456,"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"}},"topics":[{"id":"https://openalex.org/T13715","display_name":"Power Line Inspection Robots","score":0.3398999869823456,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.24719999730587006,"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/T10972","display_name":"Power Systems Fault Detection","score":0.08410000056028366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.531000018119812},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4189999997615814},{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.37209999561309814},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.37119999527931213},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.3653999865055084},{"id":"https://openalex.org/keywords/wireless-sensor-network","display_name":"Wireless sensor network","score":0.3549000024795532},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.3440999984741211},{"id":"https://openalex.org/keywords/electric-power-transmission","display_name":"Electric power transmission","score":0.3425000011920929},{"id":"https://openalex.org/keywords/smart-grid","display_name":"Smart grid","score":0.3391000032424927}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8083999752998352},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.531000018119812},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4189999997615814},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.40779998898506165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37540000677108765},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.37209999561309814},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.37119999527931213},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.3653999865055084},{"id":"https://openalex.org/C24590314","wikidata":"https://www.wikidata.org/wiki/Q336038","display_name":"Wireless sensor network","level":2,"score":0.3549000024795532},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3499999940395355},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C140311924","wikidata":"https://www.wikidata.org/wiki/Q200928","display_name":"Electric power transmission","level":2,"score":0.3425000011920929},{"id":"https://openalex.org/C10558101","wikidata":"https://www.wikidata.org/wiki/Q689855","display_name":"Smart grid","level":2,"score":0.3391000032424927},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3264000117778778},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.3190000057220459},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.3156000077724457},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.3059000074863434},{"id":"https://openalex.org/C173414695","wikidata":"https://www.wikidata.org/wiki/Q5510276","display_name":"Fusion mechanism","level":4,"score":0.2953000068664551},{"id":"https://openalex.org/C193415008","wikidata":"https://www.wikidata.org/wiki/Q639681","display_name":"Network architecture","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.2840999960899353},{"id":"https://openalex.org/C212702","wikidata":"https://www.wikidata.org/wiki/Q178150","display_name":"Insulator (electricity)","level":2,"score":0.2833999991416931},{"id":"https://openalex.org/C13540734","wikidata":"https://www.wikidata.org/wiki/Q5318996","display_name":"Dynamic network analysis","level":2,"score":0.28279998898506165},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27869999408721924},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C176563091","wikidata":"https://www.wikidata.org/wiki/Q669238","display_name":"Intelligent sensor","level":3,"score":0.27549999952316284},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C81074085","wikidata":"https://www.wikidata.org/wiki/Q366872","display_name":"Motion planning","level":3,"score":0.25200000405311584},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.251800000667572}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2026.3679322","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2026.3679322","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.593843400478363}],"awards":[{"id":"https://openalex.org/G5132419718","display_name":null,"funder_award_id":"No. 62375102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6984480226","display_name":null,"funder_award_id":"62375102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8106706833","display_name":null,"funder_award_id":"No. U24A20261","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8831140833","display_name":null,"funder_award_id":"U24A20261","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326878","display_name":"State Key Laboratory of Computer Science","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Insulator":[0],"defect":[1,29,48,91,118,143,205,275],"detection":[2,44,49,69,144,276,331],"in":[3,78,207],"transmission":[4],"lines":[5],"has":[6],"become":[7],"increasingly":[8],"important":[9],"for":[10,174,184,344],"the":[11,51,73,136,146,169,250,265,296,306,328,334],"safe":[12],"operation":[13],"of":[14,19,55,139,176,204,256,298,323,336],"power":[15,346],"systems":[16],"within":[17],"Internet":[18],"Things":[20],"(IoT)-enabled":[21],"smart":[22],"grid":[23],"infrastructures.":[24],"However,":[25],"complex":[26,208],"backgrounds,":[27],"diverse":[28,260],"characteristics,":[30],"and":[31,93,126,201,268,285,291,305],"limited":[32,84],"computing":[33],"resources":[34],"at":[35,145],"IoT":[36,109,147,219,318],"edge":[37,185,319],"nodes":[38],"pose":[39],"significant":[40],"challenges":[41,138],"to":[42,63,65,88,166,197,216,238,253,310],"existing":[43,47,330],"methods.":[45],"In":[46,222],"methods,":[50,332],"fixed":[52],"receptive":[53],"field":[54],"convolutional":[56],"neural":[57],"networks":[58],"(CNNs)":[59],"limits":[60],"their":[61,86,98],"ability":[62],"adapt":[64],"multi-scale":[66],"defects.":[67],"Defect":[68],"methods":[70],"based":[71,121],"on":[72,100,122,264,316],"Transformer":[74],"architecture":[75],"offer":[76],"advantages":[77],"global":[79,245],"modeling,":[80],"but":[81],"they":[82],"are":[83],"by":[85,302],"inability":[87],"accurately":[89],"locate":[90],"locations":[92],"high":[94],"computational":[95,214,307],"complexity,":[96],"hindering":[97],"deployment":[99,315],"resource-constrained":[101],"unmanned":[102],"aerial":[103],"vehicle":[104],"(UAV)":[105],"platforms":[106],"as":[107,338],"intelligent":[108,141,341],"sensing":[110],"devices.":[111,320],"Therefore,":[112],"this":[113],"paper":[114],"proposes":[115],"an":[116,280],"insulator":[117,142],"monitoring":[119],"framework":[120],"dynamic":[123,151,162],"adaptive":[124,171],"perception":[125,152,172,342],"a":[127,150,160,188,224,234,339],"local-global":[128,225],"attention":[129,190,226],"enhancement":[130,192,203],"fusion":[131,227],"network":[132,154,193],"(DPL-DETR),":[133],"effectively":[134,239],"addressing":[135],"core":[137],"real-time,":[140],"edge.":[148],"First,":[149],"scale-adaptive":[153],"(DSNet)":[155],"is":[156,195,230,300],"designed,":[157],"which":[158,232],"leverages":[159],"learnable":[161],"convolution":[163],"kernel":[164],"mechanism":[165,237],"significantly":[167],"enhance":[168],"model's":[170,251],"capability":[173,252],"defects":[175,255],"varying":[177,257],"scales":[178],"while":[179,211],"maintaining":[180],"lightweight":[181],"characteristics":[182],"essential":[183],"deployment.":[186],"Second,":[187],"precise":[189],"spatial":[191],"(PASEN)":[194],"constructed":[196],"achieve":[198],"accurate":[199],"localization":[200],"feature":[202],"regions":[206],"background":[209],"environments,":[210],"substantially":[212],"reducing":[213],"complexity":[215,308],"meet":[217],"real-time":[218],"application":[220],"requirements.":[221],"addition,":[223],"(LGAF)":[228],"module":[229],"proposed,":[231],"employs":[233],"dual-branch":[235],"collaborative":[236],"fuse":[240],"local":[241],"detail":[242],"features":[243],"with":[244,287],"semantic":[246],"information,":[247],"thereby":[248],"enhancing":[249],"recognize":[254],"morphologies":[258],"under":[259],"environmental":[261],"conditions.":[262],"Experiments":[263],"Transmission":[266],"Line-ID":[267],"OPDL":[269],"datasets":[270],"show":[271],"that":[272],"our":[273],"proposed":[274],"method":[277],"DPL-DETR":[278,337],"achieves":[279],"effective":[281],"balance":[282],"between":[283],"performance":[284],"efficiency,":[286],"mAP50":[288],"reaching":[289,293],"98.25%":[290],"mAP50-95":[292],"68.74%.":[294],"Furthermore,":[295],"number":[297],"parameters":[299],"reduced":[301],"nearly":[303],"50%,":[304],"decreases":[309],"79.1":[311],"GFLOPs,":[312],"facilitating":[313],"efficient":[314],"UAV-mounted":[317],"The":[321],"results":[322],"all":[324],"evaluation":[325],"metrics":[326],"surpass":[327],"best":[329],"demonstrating":[333],"potential":[335],"reliable":[340],"solution":[343],"IoT-based":[345],"infrastructure":[347],"monitoring.":[348]},"counts_by_year":[],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2026-04-02T00:00:00"}
