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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Detalles Bibliográficos
Autores principales: Elânio Bezerra, Francisco, Zemuner Garcia, Fernando André, Ikuyo Nabeta, Silvio, Martha de Souza, Gilberto Francisco, Chabu, Ivan Eduardo, Santos, Josemir Coelho, Junior, Shigueru Nagao, Pereira, Fabio Henrique
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248977/
https://www.ncbi.nlm.nih.gov/pubmed/32403303
http://dx.doi.org/10.3390/s20092730

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7248977/
https://www.ncbi.nlm.nih.gov/pubmed/32403303
http://dx.doi.org/10.3390/s20092730

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