Detection and Analysis of Harmonic Using Multiwavelet Transform
Suriya Kaewarsa ^1* and Kitti Attakitmongcol ^2
1 School of Electrical Engineering, Faculty of Industry and Technology, Rajamangala University of Technology Isan, Sakon Nakhon Campus.
² School of Electrical Engineering, Institute of Engineering, Suranaree University of Technology.

Abstract

This paper presents a method to detect and analysis of harmonic using multiwavelet transform. The proposed method associates properties from the multiresolution analysis technique with standard deviation of the detailed coefficients to extract the discriminating features from harmonic signal at different resolution levels. In experiments, three types of multiwavelet which are DGHM, Chui-Lian and SA4 are implemented for comparisons. The results are also compared with the one using db4 wavelet which has the same approximation order. The results demonstrate the advantages of multiwavelet transform over wavelet transform in detection and feature extraction of harmonic under noisy conditions with the SNR levels of 40, 35 and 25 dB.