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

Author

Lobos, Tadeusz ; Rezmer, Jacek ; Sikorski, Tomasz

Author_Institution

Dept. of Electr. Eng., Wroclaw Univ. of Technol., Poland

fYear

2003

fDate

4-6 Sept. 2003

Firstpage

43

Lastpage

47

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.

Keywords

PWM power convertors; fault diagnosis; frequency estimation; power system faults; spectral analysis; statistical distributions; wavelet transforms; Choi-Williams distribution; Wigner-Ville distribution; drive fault diagnosis; fault-diagnosis; frequency resolution; nonstationary signal analysis; power systems; signal processing methods; simulated frequency converter; spectrum estimation; wavelet transform; Fault diagnosis; Fourier transforms; Frequency conversion; Power system analysis computing; Power system simulation; Signal analysis; Signal processing; Signal resolution; Spectral analysis; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Signal Processing, 2003 IEEE International Symposium on

Print_ISBN

0-7803-7864-4

Type

conf

DOI

10.1109/ISP.2003.1275811

Filename

1275811