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Gabor Transform, SPWVD, Gabor-Wigner Transform and Wavelet Transform - Tools For Power Quality Monitoring

机译:Gabor变换,SPWVD,Gabor-Wigner变换和小波变换-电能质量监测工具

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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.
机译:在许多情况下,基于DFT(离散FT)的一维频率分析足以检测电源干扰并评估电源质量(PQ)。为了更全面地说明信号的特征,进行了时频分析。最常见的时频表示形式(TFR)是频谱图(SPEC)和Gabor变换(GT)。但是,该方法具有相对较低的时频分辨率。本文介绍了另一个TFR:离散二进小波变换(DDWT),平滑伪Wigner-Ville分布(SPWVD)和新的Gabor-Wigner变换(GWT)。介绍了基于测试信号的变换的主要特征。

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