Application of wavelet transform for power quality analysis in electric arc furnace. / Aplicação da transformada Wavelet na análise da qualidade de energia em fornos elétricos a arco.
AUTOR(ES)
Marcos Rogério Cândido
DATA DE PUBLICAÇÃO
2008
RESUMO
A new method for the detection and classification of the disturbances that affect the electric power quality in industrial electric systems with electric arc furnaces was developed in this work. During the fusion process of the electric arc furnaces, may occur several events that affect the electric system to which it is inserted may occur, having as characteristic: waveform of the signal of current highly unbalanced and with great distortion due to the harmonic, scintillation effects; as well as sag and swell in the voltage signals.The method proposed was applied to real signals, allowing the detection and classification of the multiple disturbances in the waveform of the voltage signal originating from the operation of the electric arc furnace. For this purpose, a technique based on Wavelet Transform will be used and applied to the not-stationary signals of an industrial installation with three electric arc furnaces.
ASSUNTO(S)
wavelet electric arc furnace multiple disturbances análise de ondaletas-wavelets (análise de séries temporais) power quality energia (qualidade) forno elétrico
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