volume 37, issue 1, P184-190 2001
DOI: 10.1109/28.903145
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D. Borras, M. Castilla, N. Moreno, J.C. Montano

Abstract: The Fourier transform can be used for analysis of nonstationary signals, but the Fourier spectrum does not provide any time-domain information about the signal. When the time localization of the spectral components is needed, a wavelet transform giving the time-frequency representation of the signal must be used. In this paper, using wavelet analysis and neural systems as a new tool for the analysis of power system disturbances, disturbances are automatically detected, compacted, and classified. An example sho…

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