Nonlinear Autoregressive Neural Network Models for Prediction of Transformer Oil-Dissolved Gas Concentrations

Nonlinear Autoregressive Neural Network Models for Prediction of Transformer Oil-Dissolved Gas Concentrations

Transformers are one of the most important part in a power system and, especially in key-facilities, they should be closely and continuously monitored. In this context, methods based on the dissolved gas ratios allow to associate values of gas concentrations with the occurrence of some faults, such...

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Bibliographic Details
Main Authors: Fabio Henrique Pereira, Francisco Elânio Bezerra, Shigueru Junior, Josemir Santos, Ivan Chabu, Gilberto Francisco Martha de Souza, Fábio Micerino, Silvio Ikuyo Nabeta
Format: Article
Language:English
Published: MDPI AG 2018-06-01
Series:Energies
Subjects:
oil-dissolved gas
nonlinear autoregressive neural network
fault diagnose system
Online Access:http://www.mdpi.com/1996-1073/11/7/1691

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