Spectrum estimation of non- stationary signals in power systems
Leonowicz, Z (Wroclaw University of Technology, Poland) ; Lobos, T (Wroclaw University of Technology, Poland) ; Rezmer, J (Wroclaw University of Technology, Poland)
Abstract: Time-varying spectra of non-stationary time-series commonly used are spectrograms from the Short-Time Fourier Transform (STFT). The most prominent limitation of the Fourier Transform is that of frequency resolution. To overcome the limitation the Wavelet Transform, Wigner-Ville Distribution and the Min-Norm subspace method have been applied for spectrum estimation of non-stationary signals caused by switching on capacitor banks and by a short circuit at the output of a frequency converter. Investigation results confirm the advantages of the advanced methods.
Keyword(s): fault diagnosis ; power systems ; pulse width modulated power converters ; subspace methods ; time–frequency analysis ; wavelet transforms ; Wigner distributions
Note: Proceedings of the 5th International Conference on Power Systems Transients. IPST 2003 , New Orleans, Louisiana, USA, September 28th - October 2nd, 2003. pp. 18
Fulltext : http://zet10.ipee.pwr.wroc.pl/record/46/files/
Cited by: try citation search for ENY-ARTICLE-2008-038
Record created 2008-03-11, last modified 2008-03-11
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