{"id":"https://openalex.org/W4393404833","doi":"https://doi.org/10.1109/tase.2024.3383451","title":"SPDP-Net: A Semantic Prior Guided Defect Perception Network for Automated Aero-Engine Blades Surface Visual Inspection","display_name":"SPDP-Net: A Semantic Prior Guided Defect Perception Network for Automated Aero-Engine Blades Surface Visual Inspection","publication_year":2024,"publication_date":"2024-04-02","ids":{"openalex":"https://openalex.org/W4393404833","doi":"https://doi.org/10.1109/tase.2024.3383451"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2024.3383451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2024.3383451","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5085684328","display_name":"Yunfeng Ma","orcid":"https://orcid.org/0009-0007-4539-2043"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfeng Ma","raw_affiliation_strings":["College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0009-0007-4539-2043","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100343854","display_name":"Min Liu","orcid":"https://orcid.org/0000-0001-6406-4896"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Liu","raw_affiliation_strings":["College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0001-6406-4896","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069084154","display_name":"Yiqiong Zhang","orcid":"https://orcid.org/0000-0002-9229-459X"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yiqiong Zhang","raw_affiliation_strings":["College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683380","display_name":"Xueping Wang","orcid":"https://orcid.org/0000-0003-4862-8975"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xueping Wang","raw_affiliation_strings":["College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0003-4862-8975","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Hunan Normal University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025640070","display_name":"Yaonan Wang","orcid":"https://orcid.org/0000-0002-0519-6458"},"institutions":[{"id":"https://openalex.org/I16609230","display_name":"Hunan University","ror":"https://ror.org/05htk5m33","country_code":"CN","type":"education","lineage":["https://openalex.org/I16609230"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaonan Wang","raw_affiliation_strings":["College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China"],"raw_orcid":"https://orcid.org/0000-0002-0519-6458","affiliations":[{"raw_affiliation_string":"College of Electrical and Information Engineering and the National Engineering Research Center of Robot Visual Perception and Control Technology, Hunan University, Changsha, Hunan, China","institution_ids":["https://openalex.org/I16609230"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.9989,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.97999297,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"22","issue":null,"first_page":"2724","last_page":"2733"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9977999925613403,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9934999942779541,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6301747560501099},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.594204306602478},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5826508402824402},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5693663358688354},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5323736071586609},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.4998741149902344},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4891557991504669},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4609030485153198},{"id":"https://openalex.org/keywords/automation","display_name":"Automation","score":0.4386039078235626},{"id":"https://openalex.org/keywords/visual-inspection","display_name":"Visual inspection","score":0.41936972737312317},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4102827310562134},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35332298278808594},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32469215989112854},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22813349962234497}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6301747560501099},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.594204306602478},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5826508402824402},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5693663358688354},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5323736071586609},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.4998741149902344},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4891557991504669},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4609030485153198},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.4386039078235626},{"id":"https://openalex.org/C168820333","wikidata":"https://www.wikidata.org/wiki/Q448889","display_name":"Visual inspection","level":2,"score":0.41936972737312317},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4102827310562134},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35332298278808594},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32469215989112854},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22813349962234497},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2024.3383451","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2024.3383451","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3687505393","display_name":null,"funder_award_id":"2024JJ3013","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"},{"id":"https://openalex.org/G4579539271","display_name":null,"funder_award_id":"2022YFB3303800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G6118170862","display_name":null,"funder_award_id":"62203168","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/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2194775991","https://openalex.org/W2295107390","https://openalex.org/W2746020176","https://openalex.org/W2770667121","https://openalex.org/W2788906943","https://openalex.org/W2809446072","https://openalex.org/W2907868778","https://openalex.org/W2912272978","https://openalex.org/W2963119065","https://openalex.org/W2987039128","https://openalex.org/W2998008435","https://openalex.org/W3046457381","https://openalex.org/W3102544523","https://openalex.org/W3112721793","https://openalex.org/W3133719425","https://openalex.org/W3138516171","https://openalex.org/W3153381206","https://openalex.org/W3167447684","https://openalex.org/W3199863078","https://openalex.org/W4206047620","https://openalex.org/W4206572781","https://openalex.org/W4213350031","https://openalex.org/W4221088221","https://openalex.org/W4226212070","https://openalex.org/W4246193833","https://openalex.org/W4283380819","https://openalex.org/W4294226146","https://openalex.org/W4296437452","https://openalex.org/W4312247263","https://openalex.org/W4312443924","https://openalex.org/W4321232185","https://openalex.org/W4361018227","https://openalex.org/W4376607576","https://openalex.org/W4386038340","https://openalex.org/W4390120014","https://openalex.org/W4390204017","https://openalex.org/W4391467966","https://openalex.org/W6639824700","https://openalex.org/W6796931752"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W1977636359","https://openalex.org/W2772305933","https://openalex.org/W2580722822"],"abstract_inverted_index":{"Automated":[0],"surface":[1,192,267,295,318],"defect":[2,34,88,102,193,296],"detection":[3,50,194,264,297,316,363,398],"is":[4,40,60,278,301],"essential":[5],"to":[6,18,47,62,93,108,146,242,259],"manufacturing":[7,271,346],"automation.":[8],"However,":[9],"automated":[10,45,244,263,315,362,397],"inspection":[11],"of":[12,51,68,81,112,118,142,184,205,285,291,298,317,366,395],"aero-engine":[13,190,256,286,299,321,382],"blades":[14,300],"remains":[15],"challenging":[16],"due":[17],"tiny":[19,82,175,329],"defects":[20,69,96,113,125,176,268,319,332],"and":[21,157,163,170,177,214,233,246,327,330,371,376],"weak":[22,95,124,178,331],"features.":[23],"To":[24,180,288,306],"address":[25,307],"this":[26,308],"issue,":[27],"we":[28,85,187,222,236,310,357],"propose":[29,86,311],"a":[30,54,87,254,372],"semantic":[31,55],"prior":[32,56],"guided":[33],"perception":[35,80,90],"network,":[36],"named":[37],"SPDP-Net,":[38],"which":[39,76,121,144,277,348],"ultimately":[41],"integrated":[42],"into":[43,360],"an":[44,189,243,361,367,381],"system":[46,245,265,364,370],"achieve":[48,209,224],"efficient":[49],"defects.":[52,83,179],"Firstly,":[53],"mining":[57],"module":[58,91,136],"(SPM)":[59],"developed":[61,240],"capture":[63,328],"finer-grained":[64],"pixel-level":[65],"location":[66,103],"priors":[67,104],"by":[70,100,106],"leveraging":[71],"image":[72],"feature":[73,171],"mapping":[74],"relations":[75],"facilitates":[77],"the":[78,110,116,123,132,139,149,182,203,239,262,283,289,294,314,391,396],"precise":[79],"Subsequently,":[84],"enhancement":[89],"(DEP)":[92],"separate":[94],"from":[97,196,343],"complex":[98],"backgrounds":[99],"utilizing":[101],"provided":[105],"SPM":[107],"enhance":[109],"features":[111,141],"while":[114],"suppressing":[115],"values":[117],"non-defect":[119],"regions,":[120],"makes":[122],"present":[126],"as":[127],"more":[128,167],"obvious":[129],"outliers.":[130],"Finally,":[131,235],"global":[133,140],"information":[134],"extraction":[135,172],"(GIE)":[137],"extracts":[138],"defects,":[143,165],"helps":[145],"further":[147],"improve":[148],"predicted":[150],"results.":[151],"When":[152],"equipped":[153],"with":[154,202,253,333],"SPM,":[155],"DEP":[156],"GIE,":[158],"SPDP-Net":[159,241,312,336,359],"can":[160,324],"accurately":[161,325],"identify":[162],"locate":[164],"exhibiting":[166],"competitive":[168],"recognition":[169],"capabilities":[173],"for":[174,266,313],"evaluate":[181],"effectiveness":[183],"our":[185,292],"method,":[186],"construct":[188],"blade":[191],"dataset":[195],"real":[197],"industrial":[198,270,345],"scenarios":[199],"called":[200],"ABSDD":[201],"collaboration":[204,252],"senior":[206],"engineers.":[207],"We":[208],"95.9%":[210],"precision,":[211],"94.0%":[212],"recall":[213],"94.9%":[215],"F1":[216],"score":[217],"on":[218,227,340],"ABSDD.":[219],"In":[220,355],"addition,":[221,356],"also":[223],"state-of-the-art":[225,338],"results":[226,339],"two":[228],"public":[229],"benchmark":[230],"datasets,":[231],"KSDD2":[232],"DAGM.":[234],"have":[237,247],"applied":[238],"conducted":[248],"actual":[249,378],"tests":[250,379],"in":[251,269,282,320,380],"well-known":[255],"production":[257,383],"company.Note":[258],"Practitioners\u2014At":[260],"present,":[261],"has":[272],"not":[273],"been":[274],"well":[275],"developed,":[276],"particularly":[279],"trailing":[280],"behind":[281],"field":[284],"manufacturing.":[287],"best":[290],"knowledge,":[293],"still":[302],"carried":[303],"out":[304],"manually.":[305],"problem,":[309],"blades.":[322],"It":[323],"perceive":[326],"excellent":[334],"performance.":[335],"achieves":[337,387],"three":[341],"tasks":[342],"different":[344],"fields,":[347],"demonstrates":[349],"its":[350],"good":[351,392],"transfer":[352],"application":[353,393],"capabilities.":[354],"integrate":[358],"consisting":[365],"autonomous":[368],"imaging":[369],"high-performance":[373],"computing":[374],"server":[375],"conduct":[377],"company.":[384],"The":[385],"test":[386],"remarkable":[388],"results,":[389],"indicating":[390],"prospects":[394],"system.":[399]},"counts_by_year":[{"year":2026,"cited_by_count":11},{"year":2025,"cited_by_count":22},{"year":2024,"cited_by_count":4}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}