The FFT Harmonic Analysis in Frequency Converters based on Wavelet Denoising

DOI

10.2991/iceesd-18.2018.35How to use a DOI?

Keywords

Harmonic analysis, frequency converter, wavelet, denoising.

Abstract

Running converters causes harmonics in the electrical system, so it is critical to detect and analyze the harmonics in the power signals. However, the various noises could heavily jeopardize the accuracy of detection and analysis of harmonics in the subject. In this paper, wavelet denoising is applied in the FFT harmonic analysis to reduce the negative effects of both power grid and measurement noises. This method uses Stein’s unbiased risk estimation (SURE) to acquire threshold and then soft-threshold the high frequency coefficients of the output signals of the converter, which drives a three-phase asynchronous motor. After we reconstruct the wavelet coefficients, the denoising-handled output signals of converter are processed with the FFT analysis in Matlab. The results show that the wavelet denoising has a positive effect on the FFT analysis and the harmonics of the output become more explicit with the increase of the motor speed.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Shuxi Liu
AU  - Shan Li
AU  - Xiaoduo Yang
PY  - 2018/05
DA  - 2018/05
TI  - The FFT Harmonic Analysis in Frequency Converters based on Wavelet Denoising
BT  - Proceedings of the 2018 7th International Conference on Energy, Environment and Sustainable Development (ICEESD 2018)
PB  - Atlantis Press
SP  - 211
EP  - 215
SN  - 2352-5401
UR  - https://doi.org/10.2991/iceesd-18.2018.35
DO  - 10.2991/iceesd-18.2018.35
ID  - Liu2018/05
ER  -