Abstract: Classical techniques to estimate the spectrum of the multi-component signal are based on Fourier-based transformations. The frequency estimates obtained from their spectral peaks are affected by the window length and phase of signal component, thus presenting a large variance even in the absence of noise. We estimate the spectrum of the signals with the help of the Wigner-Ville distribution (WVD) and we obtain its time-frequency representation. For the same purpose the min-norm method (subspace method) is used. The accuracy and phase dependence of the tested methods were investigated and compared with the parameters of the frequency estimation via FFT. The proposed methods were also tested with nonstationary multiple-component signals occurring during the fault operation of inverter-fed drives and transmission lines.

Keyword(s): spectral analysis ; Wigner-Ville distribution ; min-norm ; fault detection ; power converter ; transmission lines
Note: COMPEL, vol. 23, issue 2, 2004.


Fulltext : http://zet10.ipee.pwr.wroc.pl/record/2/files/

Cited by: try citation search for ENY-ARTICLE-2008-002

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