{"id":"https://openalex.org/W7133136486","doi":"https://doi.org/10.3390/jimaging12030106","title":"Vision\u2013Language Models for Transmission Line Fault Detection: A New Approach for Grid Reliability and Optimization","display_name":"Vision\u2013Language Models for Transmission Line Fault Detection: A New Approach for Grid Reliability and Optimization","publication_year":2026,"publication_date":"2026-02-28","ids":{"openalex":"https://openalex.org/W7133136486","doi":"https://doi.org/10.3390/jimaging12030106","pmid":"https://pubmed.ncbi.nlm.nih.gov/41892908"},"language":"en","primary_location":{"id":"doi:10.3390/jimaging12030106","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12030106","pdf_url":null,"source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/jimaging12030106","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5127749343","display_name":"Runle Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Runle Yu","raw_affiliation_strings":["School of Electrical Engineering, Chongqing University, Chongqing 400044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Chongqing University, Chongqing 400044, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111353362","display_name":"Lihao Mai","orcid":"https://orcid.org/0009-0006-3643-8639"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lihao Mai","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, 551 East Tyler Mall, Tempe, AZ 85281, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, 551 East Tyler Mall, Tempe, AZ 85281, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127746181","display_name":"Yang Weng","orcid":null},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Weng","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, 551 East Tyler Mall, Tempe, AZ 85281, USA"],"raw_orcid":"https://orcid.org/0000-0002-5267-1303","affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, 551 East Tyler Mall, Tempe, AZ 85281, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127748913","display_name":"Qiushi Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qiushi Cui","raw_affiliation_strings":["School of Electrical Engineering, Chongqing University, Chongqing 400044, China"],"raw_orcid":"https://orcid.org/0000-0002-3471-3936","affiliations":[{"raw_affiliation_string":"School of Electrical Engineering, Chongqing University, Chongqing 400044, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127762374","display_name":"Guochang Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guochang Xu","raw_affiliation_strings":["State Grid Henan Electric Power Company, Zhengzhou 450052, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Grid Henan Electric Power Company, Zhengzhou 450052, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5127757837","display_name":"Pengliang Ren","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100011","display_name":"Henan Energy & Chemical Industry Group (China)","ror":"https://ror.org/0149mnh61","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210100011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengliang Ren","raw_affiliation_strings":["Henan Jiuyu EPRI Electric Power Technology Co., Ltd., Zhengzhou 450052, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Henan Jiuyu EPRI Electric Power Technology Co., Ltd., Zhengzhou 450052, China","institution_ids":["https://openalex.org/I4210100011"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5127748913"],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":{"value":1600,"currency":"CHF","value_usd":1732},"apc_paid":{"value":1600,"currency":"CHF","value_usd":1732},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.3057221,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"3","first_page":"106","last_page":"106"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13715","display_name":"Power Line Inspection Robots","score":0.8324000239372253,"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":0.8324000239372253,"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/T10972","display_name":"Power Systems Fault Detection","score":0.034299999475479126,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.01489999983459711,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/grid","display_name":"Grid","score":0.5131000280380249},{"id":"https://openalex.org/keywords/occupancy-grid-mapping","display_name":"Occupancy grid mapping","score":0.4120999872684479},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.40070000290870667},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.3952000141143799},{"id":"https://openalex.org/keywords/insulator","display_name":"Insulator (electricity)","score":0.3506999909877777},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.3352999985218048},{"id":"https://openalex.org/keywords/sliding-window-protocol","display_name":"Sliding window protocol","score":0.3199999928474426},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.30889999866485596},{"id":"https://openalex.org/keywords/electric-power-transmission","display_name":"Electric power transmission","score":0.3068000078201294}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7803999781608582},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.5351999998092651},{"id":"https://openalex.org/C187691185","wikidata":"https://www.wikidata.org/wiki/Q2020720","display_name":"Grid","level":2,"score":0.5131000280380249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5044999718666077},{"id":"https://openalex.org/C57077369","wikidata":"https://www.wikidata.org/wiki/Q7075747","display_name":"Occupancy grid mapping","level":4,"score":0.4120999872684479},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4018999934196472},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.40070000290870667},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.3952000141143799},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.3571000099182129},{"id":"https://openalex.org/C212702","wikidata":"https://www.wikidata.org/wiki/Q178150","display_name":"Insulator (electricity)","level":2,"score":0.3506999909877777},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C102392041","wikidata":"https://www.wikidata.org/wiki/Q592860","display_name":"Sliding window protocol","level":3,"score":0.3199999928474426},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.31220000982284546},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C140311924","wikidata":"https://www.wikidata.org/wiki/Q200928","display_name":"Electric power transmission","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.30630001425743103},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.29330000281333923},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C5134670","wikidata":"https://www.wikidata.org/wiki/Q1626444","display_name":"Cut","level":4,"score":0.2847000062465668},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.27549999952316284},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C126953365","wikidata":"https://www.wikidata.org/wiki/Q5438152","display_name":"Fault coverage","level":3,"score":0.27219998836517334},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.26989999413490295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.266400009393692},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.26409998536109924},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.26100000739097595},{"id":"https://openalex.org/C2777601683","wikidata":"https://www.wikidata.org/wiki/Q6499736","display_name":"Vocabulary","level":2,"score":0.26089999079704285},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.2590999901294708},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.2517000138759613},{"id":"https://openalex.org/C33441834","wikidata":"https://www.wikidata.org/wiki/Q693004","display_name":"Transmission line","level":2,"score":0.2513999938964844},{"id":"https://openalex.org/C2781439067","wikidata":"https://www.wikidata.org/wiki/Q5986479","display_name":"Icing","level":2,"score":0.25049999356269836}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/jimaging12030106","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12030106","pdf_url":null,"source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},{"id":"pmid:41892908","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41892908","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of imaging","raw_type":null},{"id":"pmh:oai:doaj.org/article:d7bbb3e7c71f4b3e81cb05cc2db4b456","is_oa":true,"landing_page_url":"https://doaj.org/article/d7bbb3e7c71f4b3e81cb05cc2db4b456","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Imaging, Vol 12, Iss 3, p 106 (2026)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:13028582","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC13028582/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Imaging","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/jimaging12030106","is_oa":true,"landing_page_url":"https://doi.org/10.3390/jimaging12030106","pdf_url":null,"source":{"id":"https://openalex.org/S2736465063","display_name":"Journal of Imaging","issn_l":"2313-433X","issn":["2313-433X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Imaging","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6242293119430542,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Reliable":[0],"fault":[1,51],"detection":[2],"along":[3],"transmission":[4],"corridors":[5],"is":[6],"essential":[7],"for":[8,182,202,211],"preventing":[9],"small":[10,125],"defects":[11],"from":[12,142],"developing":[13],"into":[14],"long":[15],"outages":[16],"and":[17,61,98,124,147,166,171,184,193,207,215],"costly":[18],"emergency":[19],"operations.":[20],"This":[21],"study":[22],"aims":[23],"to":[24],"improve":[25],"the":[26,38,69,90,130,140,143,156,191,198],"field":[27],"reliability":[28],"of":[29,74],"an":[30,42,112],"open":[31],"vocabulary":[32],"vision":[33,65],"language":[34,66],"backbone":[35],"without":[36],"retraining":[37],"large":[39],"model":[40,67],"in":[41,53,129,148,169,197],"end-to-end":[43],"manner.":[44],"The":[45],"work":[46],"focuses":[47],"on":[48,176],"four":[49],"operational":[50],"classes":[52],"multi-region":[54],"corridor":[55,114,134],"imagery":[56],"collected":[57],"during":[58],"routine":[59],"inspections":[60],"uses":[62,111],"a":[63,163],"Florence-2":[64],"as":[68,139],"base":[70],"recognizer.":[71],"On":[72],"top":[73],"this":[75,149],"backbone,":[76],"three":[77],"domain-specific":[78],"components":[79],"are":[80,160],"introduced.":[81],"A":[82,105,133],"subclass-aware":[83],"fusion":[84],"scheme":[85],"keeps":[86],"probability":[87],"mass":[88],"within":[89],"active":[91],"parent":[92],"concept":[93],"so":[94,120],"that":[95,121,153],"insulator":[96],"icing":[97,100],"conductor":[99],"produce":[101],"stable,":[102],"action-oriented":[103],"decisions.":[104],"Power-Line":[106],"Focus":[107],"Then":[108],"Crop":[109],"normalization":[110],"attention-guided":[113],"window":[115],"together":[116],"with":[117],"isotropic":[118],"resizing":[119],"thin":[122],"conductors":[123],"fittings":[126],"remain":[127],"visible":[128],"processed":[131],"image.":[132],"geo":[135],"prior":[136],"reduces":[137],"scores":[138],"distance":[141],"mapped":[144],"centerline":[145],"increases":[146],"way":[150],"suppresses":[151],"detections":[152],"lie":[154],"outside":[155,190],"corridor.":[157],"All":[158],"methods":[159],"evaluated":[161],"under":[162],"shared":[164],"preprocessing":[165],"scoring":[167],"pipeline":[168],"training-free":[170],"parameter-efficient":[172],"tuning":[173],"modes.":[174],"Experiments":[175],"unseen":[177],"regions":[178],"show":[179],"higher":[180],"accuracy":[181],"skinny":[183],"low-contrast":[185],"faults,":[186],"fewer":[187],"false":[188],"alarms":[189],"right-of-way,":[192],"improved":[194],"score":[195],"calibration":[196],"confidence":[199],"range":[200],"used":[201],"triage,":[203],"while":[204],"keeping":[205],"throughput":[206],"memory":[208],"usage":[209],"suitable":[210],"unmanned":[212],"aerial":[213],"vehicles":[214],"substation":[216],"edge":[217],"devices.":[218]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2026-03-02T00:00:00"}
