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000000137 001__ 137
000000137 037__ $$aENY-ARTICLE-2008-108
000000137 041__ $$aeng
000000137 088__ $$aI07/1997/I-317
000000137 100__ $$aLeonowicz, Z$$uWroclaw University of Technology, Poland
000000137 245__ $$aApplication of higher-order spectra for signal processing in electrical power engineering
000000137 260__ $$c2005-11-16
000000137 300__ $$a4p
000000137 500__ $$aIX International Symposium on Theoretical Electrical Engineering. ISTET '97, Palermo, Italy, 9-11 June 1997. pp. 108-111
000000137 520__ $$aDuring recent years higher order statistics (HOS) have found a wide applicability in many diverse fields, e.g.: biomedicine, seismic data processing, harmonic retrieval and adaptive filtering. 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 known as cumulants, and their associated Fourier transforms, known as polyspectra, 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 (Multiple Signal Classification), both for the correlation and the 4th order cumulant, to investigate the state of asynchronous running of synchronous machines. When the investigated signal is distorted by a coloured noise the exact results can be achieved by applying cumulants.
000000137 6531_ $$ahigher-order statistics
000000137 6531_ $$aHOS
000000137 6531_ $$acumulants
000000137 6531_ $$apower systems
000000137 6531_ $$asynchronous generator
000000137 700__ $$aLobos, T$$uWroclaw University of Technology, Poland
000000137 700__ $$aRuczewski, P$$uWroclaw University of Technology, Poland
000000137 700__ $$aSzymanda, J$$uWroclaw University of Technology, Poland
000000137 8560_ $$fzbigniew.leonowicz@pwr.wroc.pl
000000137 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/137/files/$$zAccess to Fulltext
000000137 909CO $$ooai:zet10.pwr.wroc.pl:137$$pglobal
000000137 980__ $$aARTICLE