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
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/39718
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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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1844613321102196736 |
score |
13.070432 |