Medeiros Júnior, Manoel Firmino deSantos, Crisluci Karina Souza2014-12-172008-12-222014-12-172008-10-13SANTOS, Crisluci Karina Souza. Classificação de distúrbios na rede elétrica usando redes neurais e wavelets. 2008. 132 f. Tese (Doutorado em Automação e Sistemas; Engenharia de Computação; Telecomunicações) - Universidade Federal do Rio Grande do Norte, Natal, 2008.https://repositorio.ufrn.br/jspui/handle/123456789/15119Post 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 disturbance s 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 networksapplication/pdfAcesso AbertoDistúrbiosQualidade de energiaRedes neurais artificiaisTransformada WaveletDisturbancesElectric power qualityArtificial neural networksWavelet TransformdoctoralThesisCNPQ::ENGENHARIAS::ENGENHARIA ELETRICA