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
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/189302
Acceder
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repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling 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 Técnicas2025-10-15T14:26:48Zoai: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:34982025-10-15 14:26:48.709CONICET 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
_version_ 1846082716677701632
score 13.22299

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