Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems
- Autores
- Flores, Wilfredo C.; Mombello, Enrique Esteban; Jardini, José. A.; Rattá Gutiérrez, Giuseppe Aníbal; Corvo, Antonio M.
- Año de publicación
- 2011
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- An efficient expert system for the power transformer condition assessment is presented in this paper. Through the application of Duval's triangle and the method of the gas ratios a first assessment of the transformer condition is obtained in the form of a dissolved gas analysis (DGA) diagnosis according IEC 60599. As a second step, a knowledge mining procedure is performed, by conducting surveys whose results are fed into a first Type-2 Fuzzy Logic System (T2-FLS), in order to initially evaluate the condition of the equipment taking only the results of dissolved gas analysis into account. The output of this first T2-FLS is used as the input of a second T2-FLS, which additionally weighs up the condition of the paper-oil system. The output of this last T2-FLS is given in terms of words easily understandable by the maintenance personnel. The proposed assessing methodology has been validated for several cases of transformers in service. © 2011 Elsevier Ltd. All rights reserved.
Fil: Flores, Wilfredo C.. Universidad Nacional Autónoma de Honduras; Honduras. Universidad Nacional de San Juan; Argentina
Fil: Mombello, Enrique Esteban. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina
Fil: Jardini, José. A.. Universidade de Sao Paulo; Brasil
Fil: Rattá Gutiérrez, Giuseppe Aníbal. Universidad Nacional de San Juan; Argentina
Fil: Corvo, Antonio M.. Companhia de Transmissão de Energía Elétrica Paulista; Brasil - Materia
-
DIAGNOSTIC REASONING
KNOWLEDGE-BASED SYSTEMS
POWER TRANSFORMER INSULATION
POWER TRANSFORMERS
TYPE-2 FUZZY LOGIC SYSTEMS - 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:11336/189302
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Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systemsFlores, Wilfredo C.Mombello, Enrique EstebanJardini, José. A.Rattá Gutiérrez, Giuseppe AníbalCorvo, Antonio M.DIAGNOSTIC REASONINGKNOWLEDGE-BASED SYSTEMSPOWER TRANSFORMER INSULATIONPOWER TRANSFORMERSTYPE-2 FUZZY LOGIC SYSTEMShttps://purl.org/becyt/ford/2.2https://purl.org/becyt/ford/2An efficient expert system for the power transformer condition assessment is presented in this paper. Through the application of Duval's triangle and the method of the gas ratios a first assessment of the transformer condition is obtained in the form of a dissolved gas analysis (DGA) diagnosis according IEC 60599. As a second step, a knowledge mining procedure is performed, by conducting surveys whose results are fed into a first Type-2 Fuzzy Logic System (T2-FLS), in order to initially evaluate the condition of the equipment taking only the results of dissolved gas analysis into account. The output of this first T2-FLS is used as the input of a second T2-FLS, which additionally weighs up the condition of the paper-oil system. The output of this last T2-FLS is given in terms of words easily understandable by the maintenance personnel. The proposed assessing methodology has been validated for several cases of transformers in service. © 2011 Elsevier Ltd. All rights reserved.Fil: Flores, Wilfredo C.. Universidad Nacional Autónoma de Honduras; Honduras. Universidad Nacional de San Juan; ArgentinaFil: Mombello, Enrique Esteban. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; ArgentinaFil: Jardini, José. A.. Universidade de Sao Paulo; BrasilFil: Rattá Gutiérrez, Giuseppe Aníbal. Universidad Nacional de San Juan; ArgentinaFil: Corvo, Antonio M.. Companhia de Transmissão de Energía Elétrica Paulista; BrasilPergamon-Elsevier Science Ltd2011-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/189302Flores, Wilfredo C.; Mombello, Enrique Esteban; Jardini, José. A.; Rattá Gutiérrez, Giuseppe Aníbal; Corvo, Antonio M.; Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems; Pergamon-Elsevier Science Ltd; Expert Systems with Applications; 38; 7; 7-2011; 8119-81270957-4174CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0957417410015162info:eu-repo/semantics/altIdentifier/doi/10.1016/j.eswa.2010.12.153info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:37:45Zoai:ri.conicet.gov.ar:11336/189302instacron: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 09:37:45.786CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems |
title |
Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems |
spellingShingle |
Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems Flores, Wilfredo C. DIAGNOSTIC REASONING KNOWLEDGE-BASED SYSTEMS POWER TRANSFORMER INSULATION POWER TRANSFORMERS TYPE-2 FUZZY LOGIC SYSTEMS |
title_short |
Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems |
title_full |
Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems |
title_fullStr |
Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems |
title_full_unstemmed |
Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems |
title_sort |
Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems |
dc.creator.none.fl_str_mv |
Flores, Wilfredo C. Mombello, Enrique Esteban Jardini, José. A. Rattá Gutiérrez, Giuseppe Aníbal Corvo, Antonio M. |
author |
Flores, Wilfredo C. |
author_facet |
Flores, Wilfredo C. Mombello, Enrique Esteban Jardini, José. A. Rattá Gutiérrez, Giuseppe Aníbal Corvo, Antonio M. |
author_role |
author |
author2 |
Mombello, Enrique Esteban Jardini, José. A. Rattá Gutiérrez, Giuseppe Aníbal Corvo, Antonio M. |
author2_role |
author author author author |
dc.subject.none.fl_str_mv |
DIAGNOSTIC REASONING KNOWLEDGE-BASED SYSTEMS POWER TRANSFORMER INSULATION POWER TRANSFORMERS TYPE-2 FUZZY LOGIC SYSTEMS |
topic |
DIAGNOSTIC REASONING KNOWLEDGE-BASED SYSTEMS POWER TRANSFORMER INSULATION POWER TRANSFORMERS TYPE-2 FUZZY LOGIC SYSTEMS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.2 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
An efficient expert system for the power transformer condition assessment is presented in this paper. Through the application of Duval's triangle and the method of the gas ratios a first assessment of the transformer condition is obtained in the form of a dissolved gas analysis (DGA) diagnosis according IEC 60599. As a second step, a knowledge mining procedure is performed, by conducting surveys whose results are fed into a first Type-2 Fuzzy Logic System (T2-FLS), in order to initially evaluate the condition of the equipment taking only the results of dissolved gas analysis into account. The output of this first T2-FLS is used as the input of a second T2-FLS, which additionally weighs up the condition of the paper-oil system. The output of this last T2-FLS is given in terms of words easily understandable by the maintenance personnel. The proposed assessing methodology has been validated for several cases of transformers in service. © 2011 Elsevier Ltd. All rights reserved. Fil: Flores, Wilfredo C.. Universidad Nacional Autónoma de Honduras; Honduras. Universidad Nacional de San Juan; Argentina Fil: Mombello, Enrique Esteban. Universidad Nacional de San Juan; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - San Juan; Argentina Fil: Jardini, José. A.. Universidade de Sao Paulo; Brasil Fil: Rattá Gutiérrez, Giuseppe Aníbal. Universidad Nacional de San Juan; Argentina Fil: Corvo, Antonio M.. Companhia de Transmissão de Energía Elétrica Paulista; Brasil |
description |
An efficient expert system for the power transformer condition assessment is presented in this paper. Through the application of Duval's triangle and the method of the gas ratios a first assessment of the transformer condition is obtained in the form of a dissolved gas analysis (DGA) diagnosis according IEC 60599. As a second step, a knowledge mining procedure is performed, by conducting surveys whose results are fed into a first Type-2 Fuzzy Logic System (T2-FLS), in order to initially evaluate the condition of the equipment taking only the results of dissolved gas analysis into account. The output of this first T2-FLS is used as the input of a second T2-FLS, which additionally weighs up the condition of the paper-oil system. The output of this last T2-FLS is given in terms of words easily understandable by the maintenance personnel. The proposed assessing methodology has been validated for several cases of transformers in service. © 2011 Elsevier Ltd. All rights reserved. |
publishDate |
2011 |
dc.date.none.fl_str_mv |
2011-07 |
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/11336/189302 Flores, Wilfredo C.; Mombello, Enrique Esteban; Jardini, José. A.; Rattá Gutiérrez, Giuseppe Aníbal; Corvo, Antonio M.; Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems; Pergamon-Elsevier Science Ltd; Expert Systems with Applications; 38; 7; 7-2011; 8119-8127 0957-4174 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/189302 |
identifier_str_mv |
Flores, Wilfredo C.; Mombello, Enrique Esteban; Jardini, José. A.; Rattá Gutiérrez, Giuseppe Aníbal; Corvo, Antonio M.; Expert system for the assessment of power transformer insulation condition based on type-2 fuzzy logic systems; Pergamon-Elsevier Science Ltd; Expert Systems with Applications; 38; 7; 7-2011; 8119-8127 0957-4174 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.sciencedirect.com/science/article/abs/pii/S0957417410015162 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.eswa.2010.12.153 |
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 |
Pergamon-Elsevier Science Ltd |
publisher.none.fl_str_mv |
Pergamon-Elsevier Science Ltd |
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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1844613191033683968 |
score |
13.070432 |