Format: HTML | BibTeX | DC | EndNote | NLM | MARC | MARCXML
Published Article / I07/1998/I-389 ENY-ARTICLE-2008-020

Detection of Remote Harmonics Using SVD

Lobos, T (Wroclaw University of Technology) ; Kozina, T (Wroclaw University of Technology) ; Osowski, S (Warsaw University of Technology)


Abstract: The paper examines the singular value decomposition (SVD) for detection of remote harmonics in signals, in the presence of high noise contaminating the measured waveform. When the number of harmonics is very large and at the same time certain harmonics are distant from the other, the conventional frequency detecting methods are not satisfactory. The methods developed for locating the frequencies as closely spaced sinusoidal signals are appropriate tools for the investigation of power system signals containing harmonics differing significantly in their multiplicity. The SVD methods are ideal tools for such cases. To investigate the methods several experiments have been performed. For comparison, similar experiments have been repeated using the FFT with the same number of samples and sampling period. The comparison has proved an absolute superiority of the SVD for signals burried in noise. However, the SVD computation is much more complex than the FFT, and requires more extensive mathematical manipulations.

Keyword(s): Discrete Fourier Transforms ; frequency conversion ; frequency measurement ; harmonic analysis ; power system ; singular value decomposition
Note: 8th International Conference on Harmonics and Quality of Power. Proceedings, Athens, Greece, October 14-16, 1998. Vol. 2. Piscataway, NJ : IEEE, 1998. pp. 1136-1140

Fulltext :

Cited by: try citation search for ENY-ARTICLE-2008-020; I07/1998/I-389

Record created 2008-03-07, last modified 2008-03-23

Ähnliche Datensätze

Benutzer, die diese Seite angeschaut haben, haben auch angeschaut:
(979)  Proceedings of the Int. Conference "7th EEEIC International Workshop on Environment and Electrical Engineering" - Schwarz, H et al - ENY-PREPRINT-2008-008
(960)  Impact of Distributed Generation on Electrical Power Network - Khan, U N - ENY-ARTICLE-2008-142
(937)  Adaptacyjne sieci neuronowe w zastosowaniu do identyfikacji stanu układów elektrycznych - Kostyla, P - ENY-THESIS-2008-005
(933)  Parametric methods for time-frequency analysis of electric signals - Leonowicz, Z - ENY-BOOK-2008-001
(928)  Evaluation of compensation devices of DC arc furnaces using advanced spectrum estimation methods - Bracale, A et al - ENY-ARTICLE-2008-011

Dieses Dokument bewerten:
Als Erster ein Review für dieses Dokument verfassen

Dokument diskutieren:
Diskussion über Dokument starten.