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000000011 001__ 11
000000011 037__ $$aENY-BOOK-2008-001
000000011 041__ $$aeng
000000011 088__ $$aISSN 0324-945x
000000011 100__ $$aLeonowicz, Z
000000011 245__ $$aParametric methods for time-frequency analysis of electric signals
000000011 260__ $$c2006-01-30
000000011 300__ $$a141p
000000011 500__ $$aOficyna Wydawnicza Politechniki Wrocławskiej, 2006
000000011 520__ $$aThe author presents a new approach to spectral analysis of electric signals and related problems encountered in power systems. This approach includes the use of high- resolution subspace spectrum estimation methods (such as MUSIC and ESPRIT) as replacement of widely used Fourier Transform-based techniques. The author proves that such approach can offer substantial advantages in parameter estimation accuracy, classification accuracy and many other aspects of power system analysis, especially when analyzing non- stationary waveforms. The problems treated in this work include theoretical analysis of the limitations of FFT-based analysis, problems in applications of Short Time Fourier Transform, description and characteristic properties of subspace frequency estimation methods - MUSIC and ESPRIT; estimation of the model order, theoretical development of time-varying spectrum, application of filter banks and advantages when applying to line spectra analysis, space-phasor for analysis of three-phase signals, power quality assessment using indices with practical application to waveforms from an arc furnace power supply, numerical analysis of performance of investigated methods and a novel approach to classification of power system events based on time-frequency representation and selection of "areas of interest" in time-frequency plane. The author concludes that the use of high-resolution methods significantly improves the accuracy of many parameter estimation techniques applied to power system analysis.
000000011 6531_ $$apower systems
000000011 6531_ $$aspectral analysis
000000011 6531_ $$atime - frequency analysis
000000011 6531_ $$afault detection
000000011 6531_ $$apower quality
000000011 8560_ $$fzbigniew.leonowicz@pwr.wroc.pl
000000011 8564_ $$uhttp://zet10.ipee.pwr.wroc.pl/record/11/files/$$zAccess to Fulltext
000000011 909CO $$ooai:zet10.pwr.wroc.pl:11$$pglobal
000000011 980__ $$aBOOK