{"id":"https://openalex.org/W4387314569","doi":"https://doi.org/10.1109/syps59767.2023.10268181","title":"Crack detection and evaluation of photovoltaic modules based on data-driven","display_name":"Crack detection and evaluation of photovoltaic modules based on data-driven","publication_year":2023,"publication_date":"2023-08-27","ids":{"openalex":"https://openalex.org/W4387314569","doi":"https://doi.org/10.1109/syps59767.2023.10268181"},"language":"en","primary_location":{"id":"doi:10.1109/syps59767.2023.10268181","doi":"https://doi.org/10.1109/syps59767.2023.10268181","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/syps59767.2023.10268181","pdf_url":null,"source":{"id":"https://openalex.org/S7407097376","display_name":"IEEE PELS Students and Young Professionals Symposium (SYPS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE PELS Students and Young Professionals Symposium (SYPS)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5100461695","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-8804-1741","observed_orcids":["https://orcid.org/0000-0002-8804-1741","https://orcid.org/0009-0003-2360-7390"]},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["Shanghai University of Electric Power,College of Electrical Engineering,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power,College of Electrical Engineering,China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062750482","display_name":"Kai Sun","orcid":"https://orcid.org/0000-0003-3443-4061","observed_orcids":["https://orcid.org/0000-0003-3443-4061","https://orcid.org/0000-0002-3178-2282"]},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Sun","raw_affiliation_strings":["Tsinghua University,Department of Electrical Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Tsinghua University,Department of Electrical Engineering,Beijing,China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100786488","display_name":"Xiaoyu Wang","orcid":"https://orcid.org/0000-0001-8800-8995","observed_orcids":["https://orcid.org/0000-0001-8800-8995"]},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Wang","raw_affiliation_strings":["Shanghai University of Electric Power,College of Electrical Engineering,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power,College of Electrical Engineering,China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042323553","display_name":"Lei Chen","orcid":"https://orcid.org/0000-0002-4778-4688","observed_orcids":["https://orcid.org/0000-0002-4778-4688"]},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Shanghai University of Electric Power,College of Electrical Engineering,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power,College of Electrical Engineering,China","institution_ids":["https://openalex.org/I23632641"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085066185","display_name":"Jian Zhao","orcid":"https://orcid.org/0000-0001-7240-4774","observed_orcids":["https://orcid.org/0000-0001-7240-4774"]},"institutions":[{"id":"https://openalex.org/I23632641","display_name":"Shanghai University of Electric Power","ror":"https://ror.org/02w4tny03","country_code":"CN","type":"education","lineage":["https://openalex.org/I23632641"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Zhao","raw_affiliation_strings":["Shanghai University of Electric Power,College of Electrical Engineering,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shanghai University of Electric Power,College of Electrical Engineering,China","institution_ids":["https://openalex.org/I23632641"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5847,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.51432881,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.4860999882221222,"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":0.4860999882221222,"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/T12737","display_name":"Electrical Fault Detection and Protection","score":0.18080000579357147,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.0697999969124794,"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/pv-strings","display_name":"PV strings","score":0.5460000038146973},{"id":"https://openalex.org/keywords/lightgbm","display_name":"LightGBM","score":0.9789999723434448},{"id":"https://openalex.org/keywords/weight-of-evidence","display_name":"weight of evidence","score":0.8790000081062317},{"id":"https://openalex.org/keywords/data-driven-fault-detection","display_name":"data-driven fault detection","score":0.7049999833106995},{"id":"https://openalex.org/keywords/real-time-crack-detection","display_name":"real-time crack detection","score":0.7799999713897705}],"concepts":[{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.8227204084396362},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.6057450771331787},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.5937210917472839},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.5907427668571472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5860955715179443},{"id":"https://openalex.org/C157486923","wikidata":"https://www.wikidata.org/wiki/Q1376436","display_name":"String (physics)","level":2,"score":0.5440108776092529},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5427676439285278},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5179232954978943},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.4540669322013855},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.43086984753608704},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41159743070602417},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3510885536670685},{"id":"https://openalex.org/C171146098","wikidata":"https://www.wikidata.org/wiki/Q124192","display_name":"Automotive engineering","level":1,"score":0.35087698698043823},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.21221768856048584},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.11187544465065002},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.105074942111969},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07462260127067566},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"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/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/syps59767.2023.10268181","doi":"https://doi.org/10.1109/syps59767.2023.10268181","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/syps59767.2023.10268181","pdf_url":null,"source":{"id":"https://openalex.org/S7407097376","display_name":"IEEE PELS Students and Young Professionals Symposium (SYPS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE PELS Students and Young Professionals Symposium (SYPS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.75},{"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9","score":0.7207000255584717}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1049805495","https://openalex.org/W1675666378","https://openalex.org/W2022633393","https://openalex.org/W2091822144","https://openalex.org/W2160408749","https://openalex.org/W2521385727","https://openalex.org/W2549616881","https://openalex.org/W2569940342","https://openalex.org/W2575868404","https://openalex.org/W2592854471","https://openalex.org/W2605972585","https://openalex.org/W2770850086","https://openalex.org/W2772601414","https://openalex.org/W2796043095","https://openalex.org/W2894402576","https://openalex.org/W2903813308","https://openalex.org/W2904870462","https://openalex.org/W2905203854","https://openalex.org/W2914238709","https://openalex.org/W2951316851","https://openalex.org/W2953084200","https://openalex.org/W2965170230","https://openalex.org/W3006862048","https://openalex.org/W3008941275","https://openalex.org/W3094933496","https://openalex.org/W3096427624","https://openalex.org/W3172730730","https://openalex.org/W4200184846","https://openalex.org/W4210369395","https://openalex.org/W4220830549","https://openalex.org/W4221023906","https://openalex.org/W4224127396","https://openalex.org/W4280496534"],"related_works":["https://openalex.org/W4403318000","https://openalex.org/W4393381166","https://openalex.org/W4377042006","https://openalex.org/W4387499231","https://openalex.org/W4409387201","https://openalex.org/W3096427624","https://openalex.org/W3119827346","https://openalex.org/W7134001669","https://openalex.org/W7130615287","https://openalex.org/W4401745034"],"abstract_inverted_index":{"Photovoltaic":[0],"(PV)":[1],"modules":[2,42,60],"are":[3,21],"prone":[4],"to":[5,48,89,115,153],"crack":[6,127],"faults":[7],"in":[8,61,98,106],"harsh":[9],"outdoor":[10],"environments.":[11],"Therefore,":[12],"the":[13,25,38,66,75,91,103,107,116,139,147,155,163,168],"diagnosis":[14,93,129],"and":[15,28,68,125,165],"evaluation":[16,143],"of":[17,30,40,59,71,74,94,109,118,149,158,167],"PV":[18,31,35,41,62,81,95,99],"module":[19,96],"cracks":[20,36,50,97],"essential":[22],"for":[23,78],"improving":[24],"reliability,":[26],"efficiency,":[27],"safety":[29],"power":[32,63],"stations.":[33],"When":[34],"occur,":[37],"characteristics":[39],"change":[43],"significantly,":[44],"making":[45],"it":[46],"challenging":[47],"diagnose":[49],"using":[51],"physical":[52],"models.":[53],"In":[54],"addition,":[55],"a":[56,79,111],"large":[57],"number":[58],"stations":[64],"require":[65],"real-time":[67],"rapid":[69],"detection":[70],"cracks.":[72],"Because":[73],"abovementioned":[76],"problems,":[77],"large-scale":[80],"dataset,":[82],"this":[83,137],"paper":[84,140],"proposes":[85],"machine":[86,133],"learning-based":[87],"LightGBM":[88,101,121],"achieve":[90,123],"fault":[92,128],"strings.":[100],"improves":[102],"gradient-boosting":[104],"framework":[105],"process":[108],"training":[110],"massive":[112],"dataset.":[113],"Due":[114],"advantages":[117],"its":[119],"framework,":[120],"can":[122],"fast":[124],"accurate":[126],"compared":[130],"with":[131],"other":[132],"learning":[134],"classifiers.":[135],"On":[136],"basis,":[138],"constructs":[141],"an":[142],"model":[144],"based":[145],"on":[146],"weight":[148],"evidence":[150],"(WOE)":[151],"value":[152],"evaluate":[154],"operation":[156],"state":[157],"photovoltaic":[159],"string.":[160],"Experiments":[161],"show":[162],"accuracy":[164],"effectiveness":[166],"proposed":[169],"method.":[170]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-10-27T15:51:10.671819","created_date":"2023-10-04T00:00:00"}