{"id":"https://openalex.org/W3046908771","doi":"https://doi.org/10.23919/ecc51009.2020.9143663","title":"Fault Diagnosis of Recessive Weakness in Superbuck Converter Based on KPCA-IPNN","display_name":"Fault Diagnosis of Recessive Weakness in Superbuck Converter Based on KPCA-IPNN","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3046908771","doi":"https://doi.org/10.23919/ecc51009.2020.9143663","mag":"3046908771"},"language":"en","primary_location":{"id":"doi:10.23919/ecc51009.2020.9143663","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc51009.2020.9143663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 European Control Conference (ECC)","raw_type":"proceedings-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/A5021968236","display_name":"Chenhao Wu","orcid":"https://orcid.org/0000-0003-3178-4568"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenhao Wu","raw_affiliation_strings":["College of Electronic and information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010071458","display_name":"Jiguang Yue","orcid":"https://orcid.org/0000-0001-5643-9483"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiguang Yue","raw_affiliation_strings":["College of Electronic and information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100335942","display_name":"Li Wang","orcid":"https://orcid.org/0000-0002-0980-350X"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Wang","raw_affiliation_strings":["College of Electronic and information Engineering, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic and information Engineering, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085392486","display_name":"Feng Lyu","orcid":"https://orcid.org/0000-0001-6349-5512"},"institutions":[{"id":"https://openalex.org/I116953780","display_name":"Tongji University","ror":"https://ror.org/03rc6as71","country_code":"CN","type":"education","lineage":["https://openalex.org/I116953780"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feng Lyu","raw_affiliation_strings":["School of Ocean and Earth Science, Tongji University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Ocean and Earth Science, Tongji University, Shanghai, China","institution_ids":["https://openalex.org/I116953780"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I116953780"],"apc_list":null,"apc_paid":null,"fwci":0.5203,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.65105065,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2045","last_page":"2050"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9976999759674072,"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"}},"topics":[{"id":"https://openalex.org/T11343","display_name":"Power Transformer Diagnostics and Insulation","score":0.9976999759674072,"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/T14502","display_name":"High-Voltage Power Transmission Systems","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/T11941","display_name":"Power System Reliability and Maintenance","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6430977582931519},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6155039072036743},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.5899844169616699},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.587336003780365},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5322736501693726},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.5068293213844299},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49220648407936096},{"id":"https://openalex.org/keywords/weakness","display_name":"Weakness","score":0.4795784056186676},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.47822636365890503},{"id":"https://openalex.org/keywords/parsevals-theorem","display_name":"Parseval's theorem","score":0.4716604948043823},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43120452761650085},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.42292842268943787},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.42289257049560547},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19484031200408936},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.17602860927581787},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07602682709693909}],"concepts":[{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6430977582931519},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6155039072036743},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.5899844169616699},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.587336003780365},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5322736501693726},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.5068293213844299},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49220648407936096},{"id":"https://openalex.org/C2780247198","wikidata":"https://www.wikidata.org/wiki/Q633403","display_name":"Weakness","level":2,"score":0.4795784056186676},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.47822636365890503},{"id":"https://openalex.org/C89451469","wikidata":"https://www.wikidata.org/wiki/Q1443036","display_name":"Parseval's theorem","level":5,"score":0.4716604948043823},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43120452761650085},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.42292842268943787},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.42289257049560547},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19484031200408936},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.17602860927581787},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07602682709693909},{"id":"https://openalex.org/C76563020","wikidata":"https://www.wikidata.org/wiki/Q4817582","display_name":"Fractional Fourier transform","level":4,"score":0.0},{"id":"https://openalex.org/C105702510","wikidata":"https://www.wikidata.org/wiki/Q514","display_name":"Anatomy","level":1,"score":0.0},{"id":"https://openalex.org/C102519508","wikidata":"https://www.wikidata.org/wiki/Q6520159","display_name":"Fourier transform","level":2,"score":0.0},{"id":"https://openalex.org/C203024314","wikidata":"https://www.wikidata.org/wiki/Q1365258","display_name":"Fourier analysis","level":3,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/ecc51009.2020.9143663","is_oa":false,"landing_page_url":"https://doi.org/10.23919/ecc51009.2020.9143663","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 European Control Conference (ECC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2000893605","https://openalex.org/W2002245955","https://openalex.org/W2036327441","https://openalex.org/W2126542171","https://openalex.org/W2132915908","https://openalex.org/W2135041512","https://openalex.org/W2138264528","https://openalex.org/W2138439887","https://openalex.org/W2154076473","https://openalex.org/W2169780952","https://openalex.org/W2171429758","https://openalex.org/W2326753677","https://openalex.org/W2919080944","https://openalex.org/W6630798248"],"related_works":["https://openalex.org/W3000465807","https://openalex.org/W4394663664","https://openalex.org/W2014683590","https://openalex.org/W2351582470","https://openalex.org/W1980227981","https://openalex.org/W2151060079","https://openalex.org/W2032870764","https://openalex.org/W2222433250","https://openalex.org/W6057950","https://openalex.org/W1997206106"],"abstract_inverted_index":{"This":[0],"paper":[1],"mainly":[2],"analyses":[3],"the":[4,49,65,70,85,95,105,109,117,120,124,128,137],"recessive":[5,52,88,110],"weakness":[6,53,111],"in":[7,33,54],"Superbuck":[8,28],"Converter":[9,29],"and":[10,21,36,45,57,78,146],"proposes":[11],"a":[12],"diagnosis":[13],"method":[14],"through":[15,134],"kernel":[16],"principal":[17],"component":[18],"analysis":[19],"(KPCA)":[20],"incremental":[22],"probabilistic":[23],"neural":[24],"network":[25],"(IPNN).":[26],"The":[27],"presents":[30],"excellent":[31],"performance":[32],"many":[34],"applications":[35],"is":[37,91,102,131],"nowadays":[38],"faced":[39],"with":[40],"demands":[41],"of":[42,51,69,87,98,108,119,127,139],"higher":[43],"reliability":[44],"steadier":[46],"operation.":[47],"Firstly,":[48],"character":[50],"both":[55,142],"time":[56],"frequency":[58],"domain":[59],"are":[60,81],"demonstrated":[61],"to":[62,83,94,104],"clearly":[63],"reveal":[64],"inner":[66],"actual":[67],"deterioration":[68],"circuit":[71],"system.":[72],"Furthermore,":[73],"wavelet":[74],"packet":[75],"decomposition":[76],"(WPD)":[77],"Parseval's":[79],"theorem":[80],"utilized":[82],"extract":[84],"feature":[86,99],"weakness.":[89],"KPCA":[90],"also":[92,132],"used":[93],"dimensionality":[96],"reduction":[97],"vectors.":[100],"IPNN":[101],"applied":[103],"automatic":[106],"classification":[107,125,144],"aroused":[112],"from":[113],"different":[114],"components":[115],"on":[116],"basis":[118],"extracted":[121],"features.":[122],"Finally,":[123],"accuracy":[126,145],"proposed":[129],"algorithm":[130],"verified":[133],"simulation":[135],"experiments,":[136],"results":[138],"which":[140],"present":[141],"satisfying":[143],"rapid":[147],"detection":[148],"speed.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}