Wavelet-Like Transform to Optimize the Order of an Autoregressive Neural Network Model to Predict the Dissolved Gas Concentration in Power Transformer Oil from Sensor Data

Wavelet-Like Transform to Optimize the Order of an Autoregressive Neural Network Model to Predict the Dissolved Gas Concentration in Power Transformer Oil from Sensor Data

Dissolved gas analysis (DGA) is one of the most important methods to analyze fault in power transformers. In general, DGA is applied in monitoring systems based upon an autoregressive model; the current value of a time series is regressed on past values of the same series, as well as present and pas...

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Bibliographic Details
Main Authors: Francisco Elânio Bezerra, Fernando André Zemuner Garcia, Silvio Ikuyo Nabeta, Gilberto Francisco Martha de Souza, Ivan Eduardo Chabu, Josemir Coelho Santos, Shigueru Nagao Junior, Fabio Henrique Pereira
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Sensors
Subjects:
dissolved gas analysis
power transformers
wavelet-like transform
autoregressive model
Online Access:https://www.mdpi.com/1424-8220/20/9/2730

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