A cognitive system for fault prognosis in power transformers.

Registro completo de metadados
MetadadosDescriçãoIdioma
Autor(es): dc.creatorSica, Fernando Cortez-
Autor(es): dc.creatorGuimarães, Frederico Gadelha-
Autor(es): dc.creatorDuarte, Ricardo de Oliveira-
Autor(es): dc.creatorReis, Agnaldo José da Rocha-
Data de aceite: dc.date.accessioned2025-08-21T15:16:24Z-
Data de disponibilização: dc.date.available2025-08-21T15:16:24Z-
Data de envio: dc.date.issued2016-08-09-
Data de envio: dc.date.issued2016-08-09-
Data de envio: dc.date.issued2015-
Fonte completa do material: dc.identifierhttp://www.repositorio.ufop.br/handle/123456789/6774-
Fonte completa do material: dc.identifierhttps://doi.org/10.1016/j.epsr.2015.05.014-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1008740-
Descrição: dc.descriptionThe power transformer is one of the most critical and expensive equipments in an electric power system.If it is out of service in an unexpected way, the damage for both society and electric utilities is verysignificant. Over the last decades, many computational tools have been developed to monitor the ‘health’of such an important equipment. The classification of incipient faults in power transformers via DissolvedGas Analysis (DGA) is, for instance, a very well known technique for this purpose. In this paper we presentan intelligent system based on cognitive systems for fault prognosis in power transformers. The proposedsystem combines both evolutionary and connectionist mechanisms into a hybrid model that can bean essential tool in the development of a predictive maintenance technology, to anticipate when anyequipment fault might occur and to prevent or reduce unplanned reactive maintenance. The proposedprocedure has been applied to real databases derived from chromatographic tests of power transformersfound in the literature. The obtained results are fully described showing the feasibility and validity ofthe new methodology. The proposed system can help Transformer Predictive Maintenance programmesoffering a low cost and highly flexible solution for fault prognosis.-
Formato: dc.formatapplication/pdf-
Idioma: dc.languageen-
Direitos: dc.rightsaberto-
Direitos: dc.rightsO periódico Electric Power Systems Research concede permissão para depósito deste artigo no Repositório Institucional da UFOP. Número da licença: 3914200738942.-
Palavras-chave: dc.subjectPower transformers-
Palavras-chave: dc.subjectKnowledge based systems-
Palavras-chave: dc.subjectCognitive systems-
Palavras-chave: dc.subjectFault prognosis-
Palavras-chave: dc.subjectDissolved Gas Analysis-
Título: dc.titleA cognitive system for fault prognosis in power transformers.-
Aparece nas coleções:Repositório Institucional - UFOP

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