Advanced signal processing methods for analysis of non-stationary signals in power systems

Abstract

This paper aims to consider using the wavelet transform (WT), Wigner-Ville distribution (WVD) and Choi-Williams distribution (CWD) for spectrum estimation of nonstationary signals in power systems. The main goal is to emphasize the advantage and disadvantage of the mentioned methods in comparison with the short-time Fourier transform (STFT). The aspect of frequency resolution is explored on the basis of signals at the output of the simulated frequency converter, which is a major issue when diagnosis problems of drive faults are considered.