{"id":"https://openalex.org/W4389221676","doi":"https://doi.org/10.3233/faia230791","title":"Intelligent Inspection Method for Photovoltaic Modules Based on Image Processing and Deep Learning","display_name":"Intelligent Inspection Method for Photovoltaic Modules Based on Image Processing and Deep Learning","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389221676","doi":"https://doi.org/10.3233/faia230791"},"language":"en","primary_location":{"id":"doi:10.3233/faia230791","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230791","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230791","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230791","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045395140","display_name":"Tengda Li","orcid":"https://orcid.org/0000-0002-8551-9818"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tengda Li","raw_affiliation_strings":["Department of Industrial Energy Products, China Mobile (Shanghai) ICT Co. Ltd, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Energy Products, China Mobile (Shanghai) ICT Co. Ltd, China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Min Hua","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Min Hua","raw_affiliation_strings":["USC-SJTU Institute of Cultural and Creative Industry, Shanghai Jiao Tong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USC-SJTU Institute of Cultural and Creative Industry, Shanghai Jiao Tong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101511150","display_name":"Li Qin","orcid":"https://orcid.org/0000-0002-7882-8970"},"institutions":[{"id":"https://openalex.org/I4210127843","display_name":"First Automotive Works (China)","ror":"https://ror.org/0353t4m91","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210127843"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qin Li","raw_affiliation_strings":["Paint-shop engineer, Tianjin Branch of FAW-VW, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Paint-shop engineer, Tianjin Branch of FAW-VW, China","institution_ids":["https://openalex.org/I4210127843"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.54785714,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9970999956130981,"subfield":{"id":"https://openalex.org/subfields/2105","display_name":"Renewable Energy, Sustainability and the Environment"},"field":{"id":"https://openalex.org/fields/21","display_name":"Energy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12838","display_name":"Photovoltaic Systems and Sustainability","score":0.9843999743461609,"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"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9702000021934509,"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/photovoltaic-system","display_name":"Photovoltaic system","score":0.7675894498825073},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.6461218595504761},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5405953526496887},{"id":"https://openalex.org/keywords/production-line","display_name":"Production line","score":0.5301405191421509},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5290713906288147},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5268893241882324},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.5080196857452393},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5003130435943604},{"id":"https://openalex.org/keywords/machine-vision","display_name":"Machine vision","score":0.4672026038169861},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.38198158144950867},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3380737006664276},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.31901201605796814},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1322762668132782}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.7675894498825073},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.6461218595504761},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5405953526496887},{"id":"https://openalex.org/C99862985","wikidata":"https://www.wikidata.org/wiki/Q10858068","display_name":"Production line","level":2,"score":0.5301405191421509},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5290713906288147},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5268893241882324},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.5080196857452393},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5003130435943604},{"id":"https://openalex.org/C5339829","wikidata":"https://www.wikidata.org/wiki/Q1425977","display_name":"Machine vision","level":2,"score":0.4672026038169861},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.38198158144950867},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3380737006664276},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.31901201605796814},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1322762668132782},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/faia230791","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230791","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230791","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":{"id":"doi:10.3233/faia230791","is_oa":true,"landing_page_url":"http://dx.doi.org/10.3233/faia230791","pdf_url":"https://ebooks.iospress.nl/pdf/doi/10.3233/FAIA230791","source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389221676.pdf","grobid_xml":"https://content.openalex.org/works/W4389221676.grobid-xml"},"referenced_works_count":5,"referenced_works":["https://openalex.org/W2129978592","https://openalex.org/W2808042620","https://openalex.org/W2825063406","https://openalex.org/W2980326480","https://openalex.org/W2986227107"],"related_works":["https://openalex.org/W4234769101","https://openalex.org/W2033512842","https://openalex.org/W4322734194","https://openalex.org/W1607054433","https://openalex.org/W3005535424","https://openalex.org/W4233600955","https://openalex.org/W2913665393","https://openalex.org/W2994319598","https://openalex.org/W2369695847","https://openalex.org/W2110842462"],"abstract_inverted_index":{"The":[0,23,56,146,181,199],"photovoltaic":[1],"industry":[2],"is":[3,27,60],"a":[4,20,32,44,162,215],"key":[5],"strategic":[6],"initiative":[7],"in":[8,95],"achieving":[9],"carbon":[10],"neutrality":[11],"and":[12,15,37,41,51,93,134,141,156,166,213,226,234],"emission":[13],"peak":[14],"receives":[16],"national":[17],"support":[18],"as":[19,77],"sunrise":[21],"industry.":[22],"solar":[24,33],"cell":[25],"module":[26,149,158,176,196,244],"the":[28,48,54,64,116,139,188,224,240],"central":[29],"part":[30],"of":[31,53,66,72,97,143,171,174,218,228,231,242],"power":[34],"generation":[35],"system,":[36],"its":[38],"production":[39,197],"quality":[40,50,58,65,74,241],"cost":[42,52],"have":[43],"direct":[45],"impact":[46],"on":[47,131,161],"overall":[49],"system.":[55],"EL":[57,73,144,152,189,229],"inspection":[59,79,117,125],"crucial":[61],"for":[62,127],"ensuring":[63],"PV":[67,109,128,175,195,232,243],"modules.":[68],"However,":[69],"traditional":[70],"methods":[71,102],"inspection,":[75,83],"such":[76],"manual":[78],"or":[80],"machine":[81],"vision":[82],"are":[84],"found":[85],"to":[86,90,105,108,112,137,204],"be":[87],"inefficient,":[88],"prone":[89],"false":[91],"detections,":[92],"expensive":[94],"terms":[96],"labour":[98,236],"costs.":[99],"Additionally,":[100],"these":[101],"may":[103],"lead":[104],"secondary":[106,169],"damage":[107],"modules":[110,129,233],"due":[111],"human":[113],"intervention":[114],"during":[115],"process.":[118],"Therefore,":[119],"this":[120],"paper":[121],"proposes":[122],"an":[123,193],"intelligent":[124],"method":[126,147],"based":[130,160],"image":[132,153],"processing":[133],"deep":[135],"learning":[136],"improve":[138],"efficiency":[140,225],"accuracy":[142,217,227],"QC.":[145],"pre-segments":[148],"images":[150,190],"using":[151,178],"data":[154],"acquisition":[155],"pre-classifies":[157],"types":[159,165,173],"priori":[163],"defect":[164],"then":[167],"performs":[168],"detection":[170,216,230],"defective":[172],"defects":[177,209],"Faster":[179],"RCNN.":[180],"proposed":[182],"method\u2019s":[183],"effectiveness":[184],"was":[185,202],"verified":[186],"by":[187],"collected":[191],"from":[192],"actual":[194],"line.":[198],"algorithm":[200],"model":[201],"able":[203],"label":[205],"over":[206,219],"12":[207],"common":[208],"with":[210],"strong":[211],"reliability":[212],"achieve":[214],"98%.":[220],"This":[221],"greatly":[222],"improves":[223],"reduces":[235],"costs":[237],"while":[238],"improving":[239],"detection.":[245]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
