Classificação de distúrbios na rede elétrica usando redes neurais e wavelets

AUTOR(ES)

Crisluci Karina Souza Santos

DATA DE PUBLICAÇÃO

2008

RESUMO

Post dispatch analysis of signals obtained from digital disturbances registers provide important information to identify and classify disturbances in systems, looking for a more efficient management of the supply. In order to enhance the task of identifying and classifying the disturbances - providing an automatic assessment - techniques of digital signal processing can be helpful. The Wavelet Transform has become a very efficient tool for the analysis of voltage or current signals, obtained immediately after disturbances occurrences in the network. This work presents a methodology based on the Discrete Wavelet Transform to implement this process. It uses a comparison between distribution curves of signals energy, with and without disturbance. This is done for different resolution levels of its decomposition in order to obtain descriptors that permit its classification, using artificial neural networks

ASSUNTO(S)

redes neurais artificiais artificial neural networks engenharia eletrica transformada wavelet disturbances electric power quality distúrbios qualidade de energia wavelet transform

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