{"id":"https://openalex.org/W4293195451","doi":"https://doi.org/10.1109/mic.2022.3175935","title":"Cloud-Edge-End Cooperative Detection of Wind Turbine Blade Surface Damage Based on Lightweight Deep Learning Network","display_name":"Cloud-Edge-End Cooperative Detection of Wind Turbine Blade Surface Damage Based on Lightweight Deep Learning Network","publication_year":2022,"publication_date":"2022-05-20","ids":{"openalex":"https://openalex.org/W4293195451","doi":"https://doi.org/10.1109/mic.2022.3175935"},"language":"en","primary_location":{"id":"doi:10.1109/mic.2022.3175935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mic.2022.3175935","pdf_url":null,"source":{"id":"https://openalex.org/S205899252","display_name":"IEEE Internet Computing","issn_l":"1089-7801","issn":["1089-7801","1941-0131"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Computing","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/A5071530636","display_name":"Yajuan Liu","orcid":"https://orcid.org/0000-0003-4986-8890"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yajuan Liu","raw_affiliation_strings":["North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4986-8890","affiliations":[{"raw_affiliation_string":"North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100422306","display_name":"Zhen Wang","orcid":"https://orcid.org/0000-0002-2089-5812"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Wang","raw_affiliation_strings":["North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054150149","display_name":"Xiao-Lun Wu","orcid":"https://orcid.org/0000-0002-2510-766X"},"institutions":[{"id":"https://openalex.org/I4210095121","display_name":"China Electric Equipment Group (China)","ror":"https://ror.org/00pgy4f30","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210095121"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolun Wu","raw_affiliation_strings":["NR Electric Co., Ltd., Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NR Electric Co., Ltd., Nanjing, China","institution_ids":["https://openalex.org/I4210095121"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100386895","display_name":"Fang Fang","orcid":"https://orcid.org/0000-0003-3784-3696"},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang Fang","raw_affiliation_strings":["North China Electric Power University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-3784-3696","affiliations":[{"raw_affiliation_string":"North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054337682","display_name":"Ali Syed Saqlain","orcid":null},"institutions":[{"id":"https://openalex.org/I153473198","display_name":"North China Electric Power University","ror":"https://ror.org/04qr5t414","country_code":"CN","type":"education","lineage":["https://openalex.org/I153473198"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ali Syed Saqlain","raw_affiliation_strings":["North China Electric Power University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"North China Electric Power University, Beijing, China","institution_ids":["https://openalex.org/I153473198"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5071530636"],"corresponding_institution_ids":["https://openalex.org/I153473198"],"apc_list":null,"apc_paid":null,"fwci":2.4397,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.89547746,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"27","issue":"1","first_page":"43","last_page":"51"},"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":0.9729999899864197,"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":0.9729999899864197,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9695000052452087,"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/T11164","display_name":"Remote Sensing and LiDAR Applications","score":0.9591000080108643,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7166173458099365},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6850986480712891},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6667190790176392},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5414391756057739},{"id":"https://openalex.org/keywords/leading-edge","display_name":"Leading edge","score":0.45966657996177673},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.4340440034866333},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.4304276704788208},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4227873980998993},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.39551103115081787},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3507692217826843},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.34116652607917786},{"id":"https://openalex.org/keywords/aerospace-engineering","display_name":"Aerospace engineering","score":0.18976905941963196},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16712811589241028},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16538631916046143}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7166173458099365},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6850986480712891},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6667190790176392},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5414391756057739},{"id":"https://openalex.org/C2779570065","wikidata":"https://www.wikidata.org/wiki/Q1754137","display_name":"Leading edge","level":2,"score":0.45966657996177673},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.4340440034866333},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.4304276704788208},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4227873980998993},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.39551103115081787},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3507692217826843},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.34116652607917786},{"id":"https://openalex.org/C146978453","wikidata":"https://www.wikidata.org/wiki/Q3798668","display_name":"Aerospace engineering","level":1,"score":0.18976905941963196},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16712811589241028},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16538631916046143},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mic.2022.3175935","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mic.2022.3175935","pdf_url":null,"source":{"id":"https://openalex.org/S205899252","display_name":"IEEE Internet Computing","issn_l":"1089-7801","issn":["1089-7801","1941-0131"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8999999761581421,"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2194775991","https://openalex.org/W2460123945","https://openalex.org/W2517637548","https://openalex.org/W2597358295","https://openalex.org/W2928560789","https://openalex.org/W2963223345","https://openalex.org/W2988659191","https://openalex.org/W2990292865","https://openalex.org/W3090834577","https://openalex.org/W3098668375","https://openalex.org/W3171516435","https://openalex.org/W4293584584","https://openalex.org/W4297775537","https://openalex.org/W6638523607","https://openalex.org/W6737664043","https://openalex.org/W6750227808","https://openalex.org/W6790532012","https://openalex.org/W6804402872"],"related_works":["https://openalex.org/W2388464034","https://openalex.org/W2533125852","https://openalex.org/W2140460949","https://openalex.org/W3154796165","https://openalex.org/W4324372666","https://openalex.org/W2979760315","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"Blade":[0],"health":[1],"is":[2,28,47,71,116,122],"directly":[3],"related":[4],"to":[5,78],"the":[6,50,65,80,84,88,95,103,109,119,128,133],"safety":[7],"and":[8,59,73,141],"efficiency":[9],"of":[10,83,108,127,135,144],"wind":[11],"turbine":[12],"(WT)":[13],"operation.":[14],"In":[15],"this":[16,114],"article,":[17],"a":[18],"cloud-edge-end":[19],"collaborative":[20],"detection":[21,89,110,120,137],"method":[22,111,131],"for":[23],"WT":[24,85],"blade":[25,37],"surface":[26,81],"damage":[27,82],"proposed":[29,112],"based":[30],"on":[31,49,75],"lightweight":[32,66],"deep":[33,67],"learning":[34,68],"network.":[35],"The":[36,45,99],"images":[38],"are":[39],"obtained":[40,72],"by":[41],"unmanned":[42],"aerial":[43],"vehicle.":[44],"YOLOv3":[46],"optimized":[48],"cloud":[51],"server,":[52],"including":[53],"backbone":[54],"network":[55],"replacement,":[56],"filter":[57],"pruning,":[58],"knowledge":[60],"distillation.":[61],"After":[62],"model":[63,69],"training,":[64],"YOLOv3-Mobilenet-PK":[70],"deployed":[74],"edge":[76],"device":[77],"detect":[79],"blades,":[86],"then":[87],"results":[90,100],"can":[91],"be":[92],"viewed":[93],"through":[94],"portable":[96],"mobile":[97],"device.":[98],"show":[101],"that":[102,126],"mean":[104],"average":[105],"precision":[106],"(mAP)":[107],"in":[113],"article":[115],"over":[117],"90%,":[118],"speed":[121],"about":[123],"two":[124],"times":[125],"YOLOv3-DarkNet53.":[129],"This":[130],"has":[132],"advantages":[134],"fast":[136],"speed,":[138],"high":[139],"accuracy,":[140],"less":[142],"occupation":[143],"bandwidth.":[145]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}