Power Transformer Diagnosis Using FRA and Fuzzy Sets

Autores
González Arispe, Jimmy C.; Mombello, Enrique Esteban
Año de publicación
2015
Idioma
español castellano
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This paper presents a novel method for failure detection and interpretation in power transformers using Frequency Response Analysis (FRA). Mathematical indexes are used for failure detection. The performance of the most used mathematical indexes is evaluated and the most sensitive for frequency response analysis is selected. An approach based on a suitable codification of response frequency bands is proposed for failure classification. A novel characteristic of this work is the application of Fuzzy Sets to represent the mathematical index limits for failure detection. The proposed method has been validated using two different case studies, and the diagnosis results obtained for them show a good agreement with the real failures.
Fil: González Arispe, Jimmy C.. Universidad Nacional de San Juan; Argentina
Fil: Mombello, Enrique Esteban. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico San Juan. Instituto de Energia Electrica; Argentina. Universidad Nacional de San Juan; Argentina
Materia
Power Transformer
Frequency Response Analysis
Fuzzy Sets
Mathematic Index
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/9000
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/9000
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Power Transformer Diagnosis Using FRA and Fuzzy SetsGonzález Arispe, Jimmy C.Mombello, Enrique EstebanPower TransformerFrequency Response AnalysisFuzzy SetsMathematic Indexhttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2This paper presents a novel method for failure detection and interpretation in power transformers using Frequency Response Analysis (FRA). Mathematical indexes are used for failure detection. The performance of the most used mathematical indexes is evaluated and the most sensitive for frequency response analysis is selected. An approach based on a suitable codification of response frequency bands is proposed for failure classification. A novel characteristic of this work is the application of Fuzzy Sets to represent the mathematical index limits for failure detection. The proposed method has been validated using two different case studies, and the diagnosis results obtained for them show a good agreement with the real failures.Fil: González Arispe, Jimmy C.. Universidad Nacional de San Juan; ArgentinaFil: Mombello, Enrique Esteban. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico San Juan. Instituto de Energia Electrica; Argentina. Universidad Nacional de San Juan; ArgentinaInstitute Of Electrical And Electronics Engineers2015-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/9000González Arispe, Jimmy C.; Mombello, Enrique Esteban; Power Transformer Diagnosis Using FRA and Fuzzy Sets; Institute Of Electrical And Electronics Engineers; Ieee Latin America Transactions; 13; 9; 9-2015; 2991-29971548-0992spainfo:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/7350050/info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2015.7350050info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:32:48Zoai:ri.conicet.gov.ar:11336/9000instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:32:48.612CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Power Transformer Diagnosis Using FRA and Fuzzy Sets
title Power Transformer Diagnosis Using FRA and Fuzzy Sets
spellingShingle Power Transformer Diagnosis Using FRA and Fuzzy Sets
González Arispe, Jimmy C.
Power Transformer
Frequency Response Analysis
Fuzzy Sets
Mathematic Index
title_short Power Transformer Diagnosis Using FRA and Fuzzy Sets
title_full Power Transformer Diagnosis Using FRA and Fuzzy Sets
title_fullStr Power Transformer Diagnosis Using FRA and Fuzzy Sets
title_full_unstemmed Power Transformer Diagnosis Using FRA and Fuzzy Sets
title_sort Power Transformer Diagnosis Using FRA and Fuzzy Sets
dc.creator.none.fl_str_mv González Arispe, Jimmy C.
Mombello, Enrique Esteban
author González Arispe, Jimmy C.
author_facet González Arispe, Jimmy C.
Mombello, Enrique Esteban
author_role author
author2 Mombello, Enrique Esteban
author2_role author
dc.subject.none.fl_str_mv Power Transformer
Frequency Response Analysis
Fuzzy Sets
Mathematic Index
topic Power Transformer
Frequency Response Analysis
Fuzzy Sets
Mathematic Index
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This paper presents a novel method for failure detection and interpretation in power transformers using Frequency Response Analysis (FRA). Mathematical indexes are used for failure detection. The performance of the most used mathematical indexes is evaluated and the most sensitive for frequency response analysis is selected. An approach based on a suitable codification of response frequency bands is proposed for failure classification. A novel characteristic of this work is the application of Fuzzy Sets to represent the mathematical index limits for failure detection. The proposed method has been validated using two different case studies, and the diagnosis results obtained for them show a good agreement with the real failures.
Fil: González Arispe, Jimmy C.. Universidad Nacional de San Juan; Argentina
Fil: Mombello, Enrique Esteban. Consejo Nacional de Investigaciones Cientificas y Tecnicas. Centro Cientifico Tecnologico San Juan. Instituto de Energia Electrica; Argentina. Universidad Nacional de San Juan; Argentina
description This paper presents a novel method for failure detection and interpretation in power transformers using Frequency Response Analysis (FRA). Mathematical indexes are used for failure detection. The performance of the most used mathematical indexes is evaluated and the most sensitive for frequency response analysis is selected. An approach based on a suitable codification of response frequency bands is proposed for failure classification. A novel characteristic of this work is the application of Fuzzy Sets to represent the mathematical index limits for failure detection. The proposed method has been validated using two different case studies, and the diagnosis results obtained for them show a good agreement with the real failures.
publishDate 2015
dc.date.none.fl_str_mv 2015-09
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/9000
González Arispe, Jimmy C.; Mombello, Enrique Esteban; Power Transformer Diagnosis Using FRA and Fuzzy Sets; Institute Of Electrical And Electronics Engineers; Ieee Latin America Transactions; 13; 9; 9-2015; 2991-2997
1548-0992
url http://hdl.handle.net/11336/9000
identifier_str_mv González Arispe, Jimmy C.; Mombello, Enrique Esteban; Power Transformer Diagnosis Using FRA and Fuzzy Sets; Institute Of Electrical And Electronics Engineers; Ieee Latin America Transactions; 13; 9; 9-2015; 2991-2997
1548-0992
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/7350050/
info:eu-repo/semantics/altIdentifier/doi/10.1109/TLA.2015.7350050
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Institute Of Electrical And Electronics Engineers
publisher.none.fl_str_mv Institute Of Electrical And Electronics Engineers
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1844614342608158720
score 13.070432

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