Diagnóstico Automático de Reguladores de Tensão Utilizando Algoritmos Genéticos e Redes Neurais

Título: Diagnóstico Automático de Reguladores de Tensão Utilizando Algoritmos Genéticos e Redes Neurais

Autores: Simas F., Eduardo F.; Almeida, L. A. L. de; Lima, Antonio C. de C.

Resumo: On Load Tap Changers (OLTC) are widely used for voltage regulation in electricity networks. Non-invasive vibration methods for condition monitoring of internal electrical contacts have been recently proposed in the literature. The vibration signals emitted during the tap changes are usually recorded and post-processed using spectral analysis and some pattern classifier technique. To reduce the complexity of the Neural classifier, a new technique based on Genetic Algorithm is proposed in this paper. A description of the data acquisition system and the corresponding collected experimental data are presented. The proposed technique is detailed and preliminary experimental results are discussed.

Palavras-chave: OLTC; Vibration Analysis; Genetic Algorithms; Neural Networks Signal Processing

Páginas: 6

Código DOI: 10.21528/CBRN2005-127

Artigo em PDF: CBRN2005_127.pdf

Arquivo BibTex: CBRN2005_127.bib