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dc.creatorGonzales Arispe, Jimmy Cesar-
dc.creatorMombello, Enrique Esteban-
dc.date2018-09-28T17:53:08Z-
dc.date2018-09-28T17:53:08Z-
dc.date2016-11-
dc.date2018-09-27T20:16:17Z-
dc.date.accessioned2019-04-29T15:55:28Z-
dc.date.available2019-04-29T15:55:28Z-
dc.identifierGonzales Arispe, Jimmy Cesar; Mombello, Enrique Esteban; Power Transformer Condition Assessment Using DGA and FRA; Institute of Electrical and Electronics Engineers; IEEE Latin America Transactions; 14; 11; 11-2016; 4527-4533-
dc.identifierhttp://hdl.handle.net/11336/61246-
dc.identifier1548-0992-
dc.identifierCONICET Digital-
dc.identifierCONICET-
dc.identifier.urihttp://rodna.bn.gov.ar:8080/jspui/handle/bnmm/305448-
dc.descriptionPower transformer condition assessment is a very complex task but also of high priority for power system reliability. Several diagnosis techniques have been published, specifically; insulation system condition assessment (paper and oil) using Dissolve Gas Analysis (DGA), and to assess winding and core condition, using Frequency Response Analysis (FRA). Results of these different techniques represent complementary or corroborative information of the final transformer condition. Therefore, unification of both techniques information helps to assess accurately transformer condition, which is very important in transformers management field and its failure risk estimation. In this paper, a novel method for DGA and FRA results unification is proposed, which is based on fuzzy sets application in failures detection and interpretation stages.-
dc.descriptionFil: 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-
dc.descriptionFil: 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-
dc.formatapplication/pdf-
dc.formatapplication/pdf-
dc.languagespa-
dc.publisherInstitute of Electrical and Electronics Engineers-
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1109/TLA.2016.7795824-
dc.relationinfo:eu-repo/semantics/altIdentifier/url/https://ieeexplore.ieee.org/document/7795824-
dc.rightsinfo:eu-repo/semantics/restrictedAccess-
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/-
dc.sourcereponame:CONICET Digital (CONICET)-
dc.sourceinstname:Consejo Nacional de Investigaciones Científicas y Técnicas-
dc.sourceinstacron:CONICET-
dc.subjectDISSOLVE GAS ANALYSIS-
dc.subjectFREQUENCY RESPONSE ANALYSIS-
dc.subjectFUZZY SETS-
dc.subjectPOWER TRANSFORMER-
dc.subjectIngeniería de Sistemas y Comunicaciones-
dc.subjectIngeniería Eléctrica, Ingeniería Electrónica e Ingeniería de la Información-
dc.subjectINGENIERÍAS Y TECNOLOGÍAS-
dc.titlePower Transformer Condition Assessment Using DGA and FRA-
dc.typeinfo:eu-repo/semantics/article-
dc.typeinfo:eu-repo/semantics/publishedVersion-
dc.typeinfo:ar-repo/semantics/articulo-
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