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000000002 001__ 2
000000002 037__ $$aENY-ARTICLE-2008-002
000000002 041__ $$aeng
000000002 100__ $$aLeonowicz, Z$$uWroclaw University of Technology, Poland
000000002 245__ $$aAnalysis of non-stationary signals in power systems
000000002 260__ $$c2003-05-01
000000002 300__ $$a13p
000000002 500__ $$aCOMPEL, vol. 23, issue 2, 2004.
000000002 520__ $$aClassical techniques to estimate the spectrum of the multi-component signal are based on Fourier-based transformations. The frequency estimates obtained from their spectral peaks are affected by the window length and phase of signal component, thus presenting a large variance even in the absence of noise. We estimate the spectrum of the signals with the help of the Wigner-Ville distribution (WVD) and we obtain its time-frequency representation. For the same purpose the min-norm method (subspace method) is used.  The accuracy and phase dependence of the tested methods were investigated and compared with the parameters of the frequency estimation via FFT. The proposed methods were also tested with nonstationary multiple-component signals occurring during the fault operation of inverter-fed drives and transmission lines.
000000002 6531_ $$aspectral analysis
000000002 6531_ $$aWigner-Ville distribution
000000002 6531_ $$amin-norm
000000002 6531_ $$afault detection
000000002 6531_ $$apower converter
000000002 6531_ $$atransmission lines
000000002 8560_ $$fzbigniew.leonowicz@pwr.wroc.pl
000000002 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/2/files/$$zAccess to Fulltext
000000002 909CO $$ooai:zet10.pwr.wroc.pl:2$$pglobal
000000002 980__ $$aARTICLE