Abstract
The Wavelet Transform has attracted considerable attention in the field of power quality analysis recently. It has provedto be a powerful tool to study those transients that have time-localized information. In this paper, the insight to be gained from using multiresolution analysis and scalograms is presented. With multiresolution analysis, the original signal is transformed into coefficients in different octave levels. From the scalogram of the respective coefficients at each level, the special features of the original signals become distinctive. Advantages of the wavelet transform over the Fourier transform are also presented. Typical power transients are used to test the method to illustrate its applicability in the analysis of power transients.
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