Format: HTML | BibTeX | DC | EndNote | NLM | MARC | MARCXML
000000004 001__ 4
000000004 037__ $$aENY-ARTICLE-2008-004
000000004 041__ $$aeng
000000004 100__ $$aLobos, T$$uWroclaw University of Technology, Poland
000000004 245__ $$aApplication of higher-order spectra for signal processing in electrical power engineering
000000004 260__ $$c1998-04-12
000000004 300__ $$a8p
000000004 500__ $$aCOMPEL, 1998 vol. 17 No. 5/6 pp. 602-611, 1998
000000004 520__ $$aIn power spectrum estimation, the signal under consideration is processed in such a way, that the distribution of power among its frequency is estimated and phase relations between the frequency components are suppressed. Higher order statistics and their associated Fourier transforms reveal not only amplitude information about a signal, but also phase information. If a non-Gaussian signal is received along with additive Gaussian noise, a transformation to higher order cumulant domain eliminates the noise. These are some methods for estimation of signal components, based on HOS. In the paper we apply the MUSIC method both for the correlation and the 4th order cumulant, to investigate the state of asynchronous running of synchronous machines and the fault operation of inverter-fed induction motors. When the investigated signal is distorted by a coloured noise, more exact results can be achieved by applying cumulants.
000000004 6531_ $$ahigher order statistics
000000004 6531_ $$aspectral analysis
000000004 6531_ $$asynchronous generators
000000004 6531_ $$ainduction motors
000000004 6531_ $$asemiconductor inverters
000000004 6531_ $$afault detection
000000004 700__ $$aLeonowicz, Z$$uWroclaw University of Technology, Poland
000000004 700__ $$aSzymanda, J$$uWroclaw University of Technology, Poland
000000004 700__ $$aRuczewski, P$$uWroclaw University of Technology, Poland
000000004 8560_ $$fzbigniew.leonowicz@pwr.wroc.pl
000000004 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/4/files/$$zAccess to Fulltext
000000004 909CO $$ooai:zet10.pwr.wroc.pl:4$$pglobal
000000004 980__ $$aARTICLE