Skip to Main Content
In the past the Fourier transform usually has been used for analysis of non-stationary signals, if interested in what the spectral components exist in the signal, and not interested where they occur. However, if this information is needed, i.e., if we want to know in order to analyze the transients, which spectral component occur at what interval of time, then Fourier transform is not the right transform to use. When the time localization of the spectral components is needed, the wavelet transform (WT) gives the optimal time-frequency representation of the signal. As well as the fast Fourier transform, the WT is an advanced mathematical tool for the analysis of power system disturbances. In this paper, a new method of the combined wavelet-Fourier transform has been proposed. With the method, disturbances are detected, analysed, and compacted. Finally the results of an experimental research have been shown and commented on.