Analysis of Wavelet Transform for Interharmonic Measurement

Abstract

Fast and accurate measurement of interharmonic is a difficult problem. Fourier transform is widely used but it is not suitable for real-time application. Wavelet transform has better real-time performance, but its accuracy needs to be improved, so the paper studies the performance of wavelet transform for interharmonic measurement. By software simulation, it evaluates the impact of interharmonic frequency, sampling window and sampling frequency on the accuracy of interharmonic frequency measurement. Results show that wavelet method doesn’t require long sampling window or high sampling frequency, which makes it easy to be applied, and it can provide better measurement accuracy for high frequency interharmonics than low frequency interharmonics.