{"id":"https://openalex.org/W3213263502","doi":"https://doi.org/10.1109/access.2021.3126706","title":"Fault Diagnosis Based on Machine Learning for the High Frequency Link of a Grid-Tied Photovoltaic Converter for a Wide Range of Irradiance Conditions","display_name":"Fault Diagnosis Based on Machine Learning for the High Frequency Link of a Grid-Tied Photovoltaic Converter for a Wide Range of Irradiance Conditions","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3213263502","doi":"https://doi.org/10.1109/access.2021.3126706","mag":"3213263502"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3126706","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3126706","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2021.3126706","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064749595","display_name":"Yuniel Le\u00f3n-Ruiz","orcid":null},"institutions":[{"id":"https://openalex.org/I196664497","display_name":"Autonomous University of San Luis Potos\u00ed","ror":"https://ror.org/000917t60","country_code":"MX","type":"education","lineage":["https://openalex.org/I196664497"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Yuniel Leon-Ruiz","raw_affiliation_strings":["Autonomous University of San Luis Potosi (UASLP), Engineering Department, Dr. Manuel Nava 8, Zona Universitaria 78290, San Luis Potosi, Mexico","Engineering Department, Autonomous University of San Luis Potosi (UASLP), San Luis Potosi, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autonomous University of San Luis Potosi (UASLP), Engineering Department, Dr. Manuel Nava 8, Zona Universitaria 78290, San Luis Potosi, Mexico","institution_ids":["https://openalex.org/I196664497"]},{"raw_affiliation_string":"Engineering Department, Autonomous University of San Luis Potosi (UASLP), San Luis Potosi, Mexico","institution_ids":["https://openalex.org/I196664497"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101924188","display_name":"Mario Gonz\u00e1lez-Garc\u00eda","orcid":"https://orcid.org/0000-0003-4653-4895"},"institutions":[{"id":"https://openalex.org/I196664497","display_name":"Autonomous University of San Luis Potos\u00ed","ror":"https://ror.org/000917t60","country_code":"MX","type":"education","lineage":["https://openalex.org/I196664497"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Mario Gonzalez-Garcia","raw_affiliation_strings":["CONACyT-Autonomous University of San Luis Potosi (UASLP), Engineering Department, Dr. Manuel Nava 8, Zona Universitaria 78290, San Luis Potosi, Mexico. (e-mail: mgonzale@uaslp.mx)","Engineering Department, CONACyT, Autonomous University of San Luis Potosi (UASLP), San Luis Potosi, Mexico","ORCiD"],"raw_orcid":"https://orcid.org/0000-0003-4653-4895","affiliations":[{"raw_affiliation_string":"CONACyT-Autonomous University of San Luis Potosi (UASLP), Engineering Department, Dr. Manuel Nava 8, Zona Universitaria 78290, San Luis Potosi, Mexico. (e-mail: mgonzale@uaslp.mx)","institution_ids":["https://openalex.org/I196664497"]},{"raw_affiliation_string":"Engineering Department, CONACyT, Autonomous University of San Luis Potosi (UASLP), San Luis Potosi, Mexico","institution_ids":["https://openalex.org/I196664497"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017410786","display_name":"Ricardo \u00c1lvarez-Salas","orcid":"https://orcid.org/0000-0002-7646-0260"},"institutions":[{"id":"https://openalex.org/I196664497","display_name":"Autonomous University of San Luis Potos\u00ed","ror":"https://ror.org/000917t60","country_code":"MX","type":"education","lineage":["https://openalex.org/I196664497"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Ricardo Alvarez-Salas","raw_affiliation_strings":["Autonomous University of San Luis Potosi (UASLP), Engineering Department, Dr. Manuel Nava 8, Zona Universitaria 78290, San Luis Potosi, Mexico","ORCiD","Engineering Department, Autonomous University of San Luis Potosi (UASLP), San Luis Potosi, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-7646-0260","affiliations":[{"raw_affiliation_string":"Autonomous University of San Luis Potosi (UASLP), Engineering Department, Dr. Manuel Nava 8, Zona Universitaria 78290, San Luis Potosi, Mexico","institution_ids":["https://openalex.org/I196664497"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]},{"raw_affiliation_string":"Engineering Department, Autonomous University of San Luis Potosi (UASLP), San Luis Potosi, Mexico","institution_ids":["https://openalex.org/I196664497"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053767366","display_name":"Juan C. Cuevas\u2010Tello","orcid":"https://orcid.org/0000-0002-7566-0412"},"institutions":[{"id":"https://openalex.org/I196664497","display_name":"Autonomous University of San Luis Potos\u00ed","ror":"https://ror.org/000917t60","country_code":"MX","type":"education","lineage":["https://openalex.org/I196664497"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Juan Cuevas-Tello","raw_affiliation_strings":["Autonomous University of San Luis Potosi (UASLP), Engineering Department, Dr. Manuel Nava 8, Zona Universitaria 78290, San Luis Potosi, Mexico","ORCiD","Engineering Department, Autonomous University of San Luis Potosi (UASLP), San Luis Potosi, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-7566-0412","affiliations":[{"raw_affiliation_string":"Autonomous University of San Luis Potosi (UASLP), Engineering Department, Dr. Manuel Nava 8, Zona Universitaria 78290, San Luis Potosi, Mexico","institution_ids":["https://openalex.org/I196664497"]},{"raw_affiliation_string":"ORCiD","institution_ids":[]},{"raw_affiliation_string":"Engineering Department, Autonomous University of San Luis Potosi (UASLP), San Luis Potosi, Mexico","institution_ids":["https://openalex.org/I196664497"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005944379","display_name":"V. C\u00e1rdenas","orcid":"https://orcid.org/0000-0003-2175-973X"},"institutions":[{"id":"https://openalex.org/I196664497","display_name":"Autonomous University of San Luis Potos\u00ed","ror":"https://ror.org/000917t60","country_code":"MX","type":"education","lineage":["https://openalex.org/I196664497"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Victor Cardenas","raw_affiliation_strings":["Autonomous University of San Luis Potosi (UASLP), Engineering Department, Dr. Manuel Nava 8, Zona Universitaria 78290, San Luis Potosi, Mexico","Engineering Department, Autonomous University of San Luis Potosi (UASLP), San Luis Potosi, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Autonomous University of San Luis Potosi (UASLP), Engineering Department, Dr. Manuel Nava 8, Zona Universitaria 78290, San Luis Potosi, Mexico","institution_ids":["https://openalex.org/I196664497"]},{"raw_affiliation_string":"Engineering Department, Autonomous University of San Luis Potosi (UASLP), San Luis Potosi, Mexico","institution_ids":["https://openalex.org/I196664497"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.7442,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.6580821,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"9","issue":null,"first_page":"151209","last_page":"151220"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10468","display_name":"Photovoltaic System Optimization Techniques","score":0.9997000098228455,"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":0.9997000098228455,"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/T10361","display_name":"Silicon Carbide Semiconductor Technologies","score":0.9952999949455261,"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/T12737","display_name":"Electrical Fault Detection and Protection","score":0.9929999709129333,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7062521576881409},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6401473879814148},{"id":"https://openalex.org/keywords/photovoltaic-system","display_name":"Photovoltaic system","score":0.6188888549804688},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.595195472240448},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5362640619277954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49764397740364075},{"id":"https://openalex.org/keywords/discrete-wavelet-transform","display_name":"Discrete wavelet transform","score":0.477800190448761},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4373343884944916},{"id":"https://openalex.org/keywords/ranging","display_name":"Ranging","score":0.43271875381469727},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.38107582926750183},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37642523646354675},{"id":"https://openalex.org/keywords/wavelet-transform","display_name":"Wavelet transform","score":0.35709360241889954},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.3505381941795349},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.35049304366111755},{"id":"https://openalex.org/keywords/electronic-engineering","display_name":"Electronic engineering","score":0.32749563455581665},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.23714712262153625},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.1355752944946289}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7062521576881409},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6401473879814148},{"id":"https://openalex.org/C41291067","wikidata":"https://www.wikidata.org/wiki/Q1897785","display_name":"Photovoltaic system","level":2,"score":0.6188888549804688},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.595195472240448},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5362640619277954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49764397740364075},{"id":"https://openalex.org/C46286280","wikidata":"https://www.wikidata.org/wiki/Q2414958","display_name":"Discrete wavelet transform","level":4,"score":0.477800190448761},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4373343884944916},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.43271875381469727},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.38107582926750183},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37642523646354675},{"id":"https://openalex.org/C196216189","wikidata":"https://www.wikidata.org/wiki/Q2867","display_name":"Wavelet transform","level":3,"score":0.35709360241889954},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.3505381941795349},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.35049304366111755},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.32749563455581665},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23714712262153625},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.1355752944946289},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3126706","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3126706","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:92bcd048bbb1438eb82ee41b2c6b3d6a","is_oa":true,"landing_page_url":"https://doaj.org/article/92bcd048bbb1438eb82ee41b2c6b3d6a","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 151209-151220 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3126706","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3126706","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1515333057","https://openalex.org/W1554944419","https://openalex.org/W1847878491","https://openalex.org/W1966758067","https://openalex.org/W2057925108","https://openalex.org/W2059131003","https://openalex.org/W2084226026","https://openalex.org/W2096991872","https://openalex.org/W2253846325","https://openalex.org/W2478207761","https://openalex.org/W2517443587","https://openalex.org/W2615933803","https://openalex.org/W2735426927","https://openalex.org/W2762893298","https://openalex.org/W2777796145","https://openalex.org/W2782665642","https://openalex.org/W2795975941","https://openalex.org/W2796972621","https://openalex.org/W2884792776","https://openalex.org/W2886946090","https://openalex.org/W2968604411","https://openalex.org/W2994515479","https://openalex.org/W2998842387","https://openalex.org/W3107078454","https://openalex.org/W3107921937","https://openalex.org/W3215186461"],"related_works":["https://openalex.org/W183670115","https://openalex.org/W1501179639","https://openalex.org/W3199035354","https://openalex.org/W2085792030","https://openalex.org/W1807354010","https://openalex.org/W3143644526","https://openalex.org/W1588899229","https://openalex.org/W2077021924","https://openalex.org/W2172291505","https://openalex.org/W2023142747"],"abstract_inverted_index":{"The":[0,87],"objective":[1],"of":[2,24,42,73,89,98,108,167],"this":[3],"work":[4],"is":[5,125],"to":[6,13,47,69,132,158,174],"select":[7],"a":[8,15,32,164],"Machine":[9,56],"Learning":[10],"Technique":[11],"(MLT)":[12],"develop":[14],"fault":[16,74],"diagnosis":[17],"scheme":[18],"for":[19],"the":[20,25,39,71,82,90,95,99,103,109,114,118,128,152,187],"power":[21,115],"switching":[22],"devices":[23],"High":[26],"Frequency":[27],"link":[28,111],"(HF":[29],"link)":[30],"in":[31,163],"grid-tied":[33],"Photovoltaic":[34],"(PV)":[35],"system,":[36],"without":[37,185],"increasing":[38,186],"total":[40],"number":[41],"sensors,":[43],"and":[44,62,84,113,135,145,156,180],"being":[45],"capable":[46],"operate":[48],"online.":[49],"Artificial":[50],"Neural":[51,59],"Network":[52,60],"(ANN),":[53],"Support":[54,121],"Vector":[55],"(SVM),":[57],"Probabilistic":[58],"(PNN)":[61],"Naive":[63],"Bayes":[64],"(NB)":[65],"algorithms":[66],"are":[67,79,92,154],"considered":[68],"solve":[70],"problem":[72],"classification.":[75],"These":[76],"four":[77],"MLTs":[78,153],"compared":[80],"using":[81],"specificity":[83],"sensitivity":[85],"indexes.":[86],"inputs":[88],"models":[91],"obtained":[93],"from":[94,117,171],"mean":[96],"value":[97],"signals":[100],"given":[101],"by":[102],"Discrete":[104],"Wavelet":[105],"Transform":[106],"(DWT)":[107],"dc":[110],"voltage":[112],"extracted":[116],"PV":[119],"panels.":[120],"vector":[122],"machine":[123],"algorithm":[124],"chosen":[126],"as":[127],"most":[129],"suitable":[130,155],"classifier":[131],"diagnose":[133,159],"single":[134],"simultaneous":[136],"open":[137,160],"circuit":[138,161],"faults":[139,162],"with":[140],"lower":[141],"computational":[142],"effort.":[143],"Simulation":[144],"real-time":[146],"hardware-based":[147],"experimental":[148],"tests":[149],"demonstrate":[150],"that":[151],"reliable":[157],"wide":[165],"range":[166],"irradiance":[168],"levels,":[169],"ranging":[170],"200":[172],"W/m2":[173],"1000W/m2,":[175],"even":[176],"under":[177],"6":[178],"%":[179,182],"12":[181],"measurement":[183],"errors,":[184],"overall":[188],"system":[189],"cost.":[190]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-21T07:57:09.225873","created_date":"2025-10-10T00:00:00"}
