Wavelet and neural structure: A new tool for diagnostic of power system disturbances

The Fourier transform can be used for analysis of nonstationary signals, bu t the Fourier spectrum does not provide any time-domain information about t he 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 showing the p otential of these techniques for diagnosis of actual power system disturban ces is presented.