Fault Interpretation Algorithm Using Frequency-Response Analysis of Power Transformers

Autores
Gonzales Arispe, Jimmy Cesar; Mombello, Enrique Esteban
Año de publicación
2016
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Sweep frequency-response analysis (SFRA) is a powerful technique to detect mechanical damage in transformer windings, such as deformations and displacements, as well as other failures, helping to prevent severe damage. Since SFRA is a sensitive diagnostic technique, there are these days several commercially available measurement instruments to perform the tests, but the failure interpretation is usually based on expert opinion. One of the most advisable ways to face the task of interpretation of SFRA test results is the use of mathematical indices to detect abnormalities along with an interpretation scheme. The failure interpretation methodology of SFRA tests must establish the possible relationships between frequency ranges and specific failures, because different failure types can be detected in different frequency ranges of the SFRA trace. This paper proposes a new methodology for power transformer failure diagnosis using the relationships between the different decomposition levels of the original trace obtained with the use of the discrete wavelet transform and the definition of frequency regions with variable limits, according to the shape of the trace. Moreover, an interpretation map and a vector fitting analysis are also proposed in order to establish a specific failure.
Fil: Gonzales Arispe, Jimmy Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Mombello, Enrique Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Materia
Discrete Wavelet Transform
Expert Knowledge
Frequency Regions
Power Transformers
Sweep Frequency-Response Analysis (Sfra)
Vector Fitting
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:11336/39718

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network_name_str CONICET Digital (CONICET)
spelling Fault Interpretation Algorithm Using Frequency-Response Analysis of Power TransformersGonzales Arispe, Jimmy CesarMombello, Enrique EstebanDiscrete Wavelet TransformExpert KnowledgeFrequency RegionsPower TransformersSweep Frequency-Response Analysis (Sfra)Vector Fittinghttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2Sweep frequency-response analysis (SFRA) is a powerful technique to detect mechanical damage in transformer windings, such as deformations and displacements, as well as other failures, helping to prevent severe damage. Since SFRA is a sensitive diagnostic technique, there are these days several commercially available measurement instruments to perform the tests, but the failure interpretation is usually based on expert opinion. One of the most advisable ways to face the task of interpretation of SFRA test results is the use of mathematical indices to detect abnormalities along with an interpretation scheme. The failure interpretation methodology of SFRA tests must establish the possible relationships between frequency ranges and specific failures, because different failure types can be detected in different frequency ranges of the SFRA trace. This paper proposes a new methodology for power transformer failure diagnosis using the relationships between the different decomposition levels of the original trace obtained with the use of the discrete wavelet transform and the definition of frequency regions with variable limits, according to the shape of the trace. Moreover, an interpretation map and a vector fitting analysis are also proposed in order to establish a specific failure.Fil: Gonzales Arispe, Jimmy Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaFil: Mombello, Enrique Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; ArgentinaInstitute of Electrical and Electronics Engineers2016-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/39718Gonzales Arispe, Jimmy Cesar; Mombello, Enrique Esteban; Fault Interpretation Algorithm Using Frequency-Response Analysis of Power Transformers; Institute of Electrical and Electronics Engineers; IEEE Transactions on Power Delivery; 31; 3; 6-2016; 1034-10420885-8977CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1109/TPWRD.2015.2448524info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/7277093/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:41:53Zoai:ri.conicet.gov.ar:11336/39718instacron: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 09:41:53.35CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Fault Interpretation Algorithm Using Frequency-Response Analysis of Power Transformers
title Fault Interpretation Algorithm Using Frequency-Response Analysis of Power Transformers
spellingShingle Fault Interpretation Algorithm Using Frequency-Response Analysis of Power Transformers
Gonzales Arispe, Jimmy Cesar
Discrete Wavelet Transform
Expert Knowledge
Frequency Regions
Power Transformers
Sweep Frequency-Response Analysis (Sfra)
Vector Fitting
title_short Fault Interpretation Algorithm Using Frequency-Response Analysis of Power Transformers
title_full Fault Interpretation Algorithm Using Frequency-Response Analysis of Power Transformers
title_fullStr Fault Interpretation Algorithm Using Frequency-Response Analysis of Power Transformers
title_full_unstemmed Fault Interpretation Algorithm Using Frequency-Response Analysis of Power Transformers
title_sort Fault Interpretation Algorithm Using Frequency-Response Analysis of Power Transformers
dc.creator.none.fl_str_mv Gonzales Arispe, Jimmy Cesar
Mombello, Enrique Esteban
author Gonzales Arispe, Jimmy Cesar
author_facet Gonzales Arispe, Jimmy Cesar
Mombello, Enrique Esteban
author_role author
author2 Mombello, Enrique Esteban
author2_role author
dc.subject.none.fl_str_mv Discrete Wavelet Transform
Expert Knowledge
Frequency Regions
Power Transformers
Sweep Frequency-Response Analysis (Sfra)
Vector Fitting
topic Discrete Wavelet Transform
Expert Knowledge
Frequency Regions
Power Transformers
Sweep Frequency-Response Analysis (Sfra)
Vector Fitting
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.2
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Sweep frequency-response analysis (SFRA) is a powerful technique to detect mechanical damage in transformer windings, such as deformations and displacements, as well as other failures, helping to prevent severe damage. Since SFRA is a sensitive diagnostic technique, there are these days several commercially available measurement instruments to perform the tests, but the failure interpretation is usually based on expert opinion. One of the most advisable ways to face the task of interpretation of SFRA test results is the use of mathematical indices to detect abnormalities along with an interpretation scheme. The failure interpretation methodology of SFRA tests must establish the possible relationships between frequency ranges and specific failures, because different failure types can be detected in different frequency ranges of the SFRA trace. This paper proposes a new methodology for power transformer failure diagnosis using the relationships between the different decomposition levels of the original trace obtained with the use of the discrete wavelet transform and the definition of frequency regions with variable limits, according to the shape of the trace. Moreover, an interpretation map and a vector fitting analysis are also proposed in order to establish a specific failure.
Fil: Gonzales Arispe, Jimmy Cesar. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
Fil: Mombello, Enrique Esteban. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan. Instituto de Energía Eléctrica. Universidad Nacional de San Juan. Facultad de Ingeniería. Instituto de Energía Eléctrica; Argentina
description Sweep frequency-response analysis (SFRA) is a powerful technique to detect mechanical damage in transformer windings, such as deformations and displacements, as well as other failures, helping to prevent severe damage. Since SFRA is a sensitive diagnostic technique, there are these days several commercially available measurement instruments to perform the tests, but the failure interpretation is usually based on expert opinion. One of the most advisable ways to face the task of interpretation of SFRA test results is the use of mathematical indices to detect abnormalities along with an interpretation scheme. The failure interpretation methodology of SFRA tests must establish the possible relationships between frequency ranges and specific failures, because different failure types can be detected in different frequency ranges of the SFRA trace. This paper proposes a new methodology for power transformer failure diagnosis using the relationships between the different decomposition levels of the original trace obtained with the use of the discrete wavelet transform and the definition of frequency regions with variable limits, according to the shape of the trace. Moreover, an interpretation map and a vector fitting analysis are also proposed in order to establish a specific failure.
publishDate 2016
dc.date.none.fl_str_mv 2016-06
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/11336/39718
Gonzales Arispe, Jimmy Cesar; Mombello, Enrique Esteban; Fault Interpretation Algorithm Using Frequency-Response Analysis of Power Transformers; Institute of Electrical and Electronics Engineers; IEEE Transactions on Power Delivery; 31; 3; 6-2016; 1034-1042
0885-8977
CONICET Digital
CONICET
url http://hdl.handle.net/11336/39718
identifier_str_mv Gonzales Arispe, Jimmy Cesar; Mombello, Enrique Esteban; Fault Interpretation Algorithm Using Frequency-Response Analysis of Power Transformers; Institute of Electrical and Electronics Engineers; IEEE Transactions on Power Delivery; 31; 3; 6-2016; 1034-1042
0885-8977
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1109/TPWRD.2015.2448524
info:eu-repo/semantics/altIdentifier/url/http://ieeexplore.ieee.org/document/7277093/
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
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score 13.070432