Application of higher-order spectra for signal processing in electrical power engineering
Lobos, T (Wroclaw University of Technology, Poland) ; Leonowicz, Z (Wroclaw University of Technology, Poland) ; Szymanda, J (Wroclaw University of Technology, Poland) ; Ruczewski, P (Wroclaw University of Technology, Poland)
Abstract: In power spectrum estimation, the signal under consideration is processed in such a way, that the distribution of power among its frequency is estimated and phase relations between the frequency components are suppressed. Higher order statistics and their associated Fourier transforms reveal not only amplitude information about a signal, but also phase information. If a non-Gaussian signal is received along with additive Gaussian noise, a transformation to higher order cumulant domain eliminates the noise. These are some methods for estimation of signal components, based on HOS. In the paper we apply the MUSIC method both for the correlation and the 4th order cumulant, to investigate the state of asynchronous running of synchronous machines and the fault operation of inverter-fed induction motors. When the investigated signal is distorted by a coloured noise, more exact results can be achieved by applying cumulants.
Keyword(s): higher order statistics ; spectral analysis ; synchronous generators ; induction motors ; semiconductor inverters ; fault detection
Note: COMPEL, 1998 vol. 17 No. 5/6 pp. 602-611, 1998
Fulltext : http://zet10.ipee.pwr.wroc.pl/record/4/files/
Cited by: try citation search for ENY-ARTICLE-2008-004
Record created 2008-03-05, last modified 2008-03-09
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