{"id":"https://openalex.org/W4415998722","doi":"https://doi.org/10.3390/sym17111909","title":"CMTA: Infrared Detection Model for Power Facility Components via Multi-Angle Perception and Transattn Fusion","display_name":"CMTA: Infrared Detection Model for Power Facility Components via Multi-Angle Perception and Transattn Fusion","publication_year":2025,"publication_date":"2025-11-07","ids":{"openalex":"https://openalex.org/W4415998722","doi":"https://doi.org/10.3390/sym17111909"},"language":"en","primary_location":{"id":"doi:10.3390/sym17111909","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17111909","pdf_url":"https://www.mdpi.com/2073-8994/17/11/1909/pdf?version=1762525102","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/17/11/1909/pdf?version=1762525102","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036777260","display_name":"Zhongyuan Fan","orcid":"https://orcid.org/0009-0008-4227-5885"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]},{"id":"https://openalex.org/I4210134959","display_name":"Faculty of Design","ror":"https://ror.org/04bw0hg47","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210134959"]}],"countries":["AU","SI"],"is_corresponding":true,"raw_author_name":"Zhongyuan Fan","raw_affiliation_strings":["School of Art & Design, Faculty of Arts, Design & Architecture, The University of New South Wales (UNSW), Sydney, NSW 2052, Australia"],"affiliations":[{"raw_affiliation_string":"School of Art & Design, Faculty of Arts, Design & Architecture, The University of New South Wales (UNSW), Sydney, NSW 2052, Australia","institution_ids":["https://openalex.org/I31746571","https://openalex.org/I4210134959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018768183","display_name":"Lufeng Yuan","orcid":"https://orcid.org/0000-0003-0081-2271"},"institutions":[{"id":"https://openalex.org/I4210097777","display_name":"China General Nuclear Power Corporation (China)","ror":"https://ror.org/00fpj7t66","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210097777"]},{"id":"https://openalex.org/I4210120238","display_name":"PowerChina (China)","ror":"https://ror.org/01varr368","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210120238"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lufeng Yuan","raw_affiliation_strings":["Beijing China-Power Information Technology Co., Ltd., Beijing 100192, China"],"affiliations":[{"raw_affiliation_string":"Beijing China-Power Information Technology Co., Ltd., Beijing 100192, China","institution_ids":["https://openalex.org/I4210120238","https://openalex.org/I4210097777"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101214572","display_name":"Bi-Yao Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Biyao Wen","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088599604","display_name":"Qiang Liu","orcid":"https://orcid.org/0000-0001-9239-3718"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Liu","raw_affiliation_strings":["College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic and Information Engineering, Shandong University of Science and Technology, Qingdao 266590, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5063404670","display_name":"Gengkun Wu","orcid":"https://orcid.org/0000-0002-8074-3431"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gengkun Wu","raw_affiliation_strings":["College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao 266590, China","institution_ids":["https://openalex.org/I80143920"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5036777260"],"corresponding_institution_ids":["https://openalex.org/I31746571","https://openalex.org/I4210134959"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2165},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2165},"fwci":0.8415,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.76625216,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"17","issue":"11","first_page":"1909","last_page":"1909"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.5127000212669373,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.5127000212669373,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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":0.1509999930858612,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.04569999873638153,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6080999970436096},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.6061999797821045},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.5989000201225281},{"id":"https://openalex.org/keywords/frame","display_name":"Frame (networking)","score":0.5414000153541565},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4925000071525574},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.46369999647140503},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4489000141620636},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.4383000135421753},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.41179999709129333}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6894000172615051},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6080999970436096},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.6061999797821045},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.5989000201225281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5453000068664551},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.5414000153541565},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4925000071525574},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.46369999647140503},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4489000141620636},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4383000135421753},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.41179999709129333},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38199999928474426},{"id":"https://openalex.org/C3261483","wikidata":"https://www.wikidata.org/wiki/Q119565","display_name":"Frame rate","level":2,"score":0.3804999887943268},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.367900013923645},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3571000099182129},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.34700000286102295},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.32440000772476196},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.31450000405311584},{"id":"https://openalex.org/C96608239","wikidata":"https://www.wikidata.org/wiki/Q1199823","display_name":"Statistical power","level":2,"score":0.31369999051094055},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C29825287","wikidata":"https://www.wikidata.org/wiki/Q1427940","display_name":"Warning system","level":2,"score":0.2904999852180481},{"id":"https://openalex.org/C101814296","wikidata":"https://www.wikidata.org/wiki/Q5439685","display_name":"Feature model","level":3,"score":0.2766000032424927},{"id":"https://openalex.org/C140311924","wikidata":"https://www.wikidata.org/wiki/Q200928","display_name":"Electric power transmission","level":2,"score":0.2750000059604645},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.2653000056743622},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.26510000228881836},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.2599000036716461},{"id":"https://openalex.org/C104122410","wikidata":"https://www.wikidata.org/wiki/Q1416406","display_name":"Network model","level":2,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/sym17111909","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17111909","pdf_url":"https://www.mdpi.com/2073-8994/17/11/1909/pdf?version=1762525102","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/sym17111909","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym17111909","pdf_url":"https://www.mdpi.com/2073-8994/17/11/1909/pdf?version=1762525102","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"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":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4415998722.pdf","grobid_xml":"https://content.openalex.org/works/W4415998722.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Infrared":[0],"detection":[1,151,162],"of":[2,17,43,73,91,94,118,153,209],"defects":[3],"in":[4,77,177],"power":[5,18,74,95,119,154],"facilities":[6],"is":[7,85,108,126,189,197],"critical":[8],"to":[9,110,128],"the":[10,37,44,69,89,114,131,149,169,174,180,185,194,205],"safe":[11],"operation":[12,210],"and":[13,31,40,60,98,141,167,201,211],"fault":[14,206],"early":[15],"warning":[16],"grids.":[19],"However,":[20],"conventional":[21],"inspection":[22,46],"methods":[23],"have":[24],"distinct":[25],"limitations,":[26],"such":[27,164],"as":[28,165],"delayed":[29],"response":[30,207],"insufficient":[32],"condition":[33],"visualization.":[34],"To":[35],"address":[36],"pain":[38],"points":[39],"technical":[41],"challenges":[42],"aforementioned":[45],"modes,":[47],"this":[48],"study":[49],"proposes":[50],"a":[51,81,122],"deep":[52],"learning":[53],"network":[54],"model":[55,65,172],"based":[56,147],"on":[57,113,148],"multi-angle":[58],"perception":[59],"Transattn":[61,106],"feature":[62,123,132],"fusion.":[63],"This":[64],"can":[66],"effectively":[67],"improve":[68],"defect":[70,142],"recognition":[71],"ability":[72],"facility":[75,96,155],"components":[76,97,156],"complex":[78],"scenarios.":[79],"Firstly,":[80],"modified":[82],"MAPC":[83],"module":[84,107],"introduced,":[86],"which":[87],"enhances":[88],"extraction":[90],"edge":[92],"contours":[93],"detailed":[99],"infrared":[100,150],"thermal":[101],"textures.":[102],"Secondly,":[103],"an":[104],"innovative":[105],"proposed":[109,170],"dynamically":[111],"focus":[112],"core":[115],"component":[116,138],"regions":[117],"facilities.":[120],"Finally,":[121],"fusion":[124],"strategy":[125],"used":[127],"efficiently":[129],"integrate":[130],"maps":[133],"from":[134],"each":[135],"module,":[136],"outputting":[137],"localization":[139],"results":[140,146],"category":[143],"information.":[144],"Experimental":[145],"dataset":[152],"show":[157],"that":[158],"compared":[159],"with":[160],"classical":[161],"models":[163],"YOLOv10":[166],"DDN,":[168],"CMTA":[171],"achieves":[173],"best":[175],"performance":[176],"all":[178],"indicators:":[179],"highest":[181],"mAP50":[182],"reaches":[183],"85.01%,":[184],"frame":[186],"rate":[187],"(FPS)":[188],"252":[190],"frames":[191],"per":[192],"second,":[193],"parameter":[195],"count":[196],"only":[198],"2.8":[199],"M,":[200],"it":[202],"significantly":[203],"shortens":[204],"time":[208],"maintenance":[212],"personnel.":[213]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-04-03T22:45:19.894376","created_date":"2025-11-07T00:00:00"}