GABOR TRANSFORM, SPWVD, GABOR-WIGNER TRANSFORM AND WAVELET TRANSFORM - TOOLS FOR POWER QUALITY MONITORING

被引:21
作者
Szmajda, Miroslaw [1 ]
Gorecki, Krzysztof [1 ]
Mroczka, Janusz [2 ]
机构
[1] Opole Univ Technol, PL-45272 Opole, Poland
[2] Wroclaw Univ Technol, Fac Elect, PL-50317 Wroclaw, Poland
关键词
Discreet Dyadic Wavelet Transform (DDWT); Gabor-Wigner Transform (GWT); Multiresolution Analysis (MRA); Power Quality (PQ); Smoothed Pseudo Wigner-Ville Distribution (SPWVD); TIME-FREQUENCY REPRESENTATIONS; CLASSIFICATION; FOURIER;
D O I
暂无
中图分类号
TH7 [仪器、仪表];
学科分类号
080401 [精密仪器及机械];
摘要
The one-dimension frequency analysis based on DFT (Discrete FT) is sufficient in many cases in detecting power disturbances and evaluating power quality (PQ). To illustrate in a more comprehensive manner the character of the signal, time-frequency analyses are performed. The most common known time-frequency representations (TFR) are spectrogram (SPEC) and Gabor Transform (GT). However, the method has a relatively low time-frequency resolution. The other TFR: Discreet Dyadic Wavelet Transform (DDWT), Smoothed Pseudo Wigner-Ville Distribution (SPWVD) and new Gabor-Wigner Transform (GWT) are described in the paper. The main features of the transforms, on the basis of testing signals, are presented.
引用
收藏
页码:383 / 396
页数:14
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