Voltage Flicker Detecting Based on Improved HHT

Xiyun Xu, Zhenmei Li, Rui Ma, Haitao Li, Fuwei Zhang
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引用次数: 0

Abstract

Abstract: This paper puts forward a new method based on Hilbert-Huang Transform (HHT) and Wavelet denoising for extracting feature information of voltage flicker signal. Firstly, envelope signal could be extracted by using HHT from original signal containing noises. Then the noises and higher harmonic components of envelope signal could be removed by using Wavelet denoising. Finally, the noise-removing envelope signal could be decomposed by using Empirical Mode Decomposition (EMD) for getting accurate amplitude modulation wave. The new method was applied to virtual instrument by using the MATLAB script node in LabVIEW. Experimental results show that this new method is applicable for analyzing voltage flicker signal both in time domain and frequency domain. The accurate time, amplitude and frequency of voltage flicker signal which is mutational and non-stationary can be obtained by using this new method.
基于改进HHT的电压闪变检测
摘要:提出了一种基于Hilbert-Huang变换和小波去噪的电压闪变信号特征信息提取方法。首先,利用HHT从含有噪声的原始信号中提取包络信号;然后利用小波去噪方法去除包络信号中的噪声和高次谐波成分。最后,利用经验模态分解(EMD)对去噪包络信号进行分解,得到精确的调幅波。利用LabVIEW中的MATLAB脚本节点,将新方法应用于虚拟仪器。实验结果表明,该方法适用于电压闪变信号的时域和频域分析。该方法可以准确地得到电压闪变信号的时间、幅值和频率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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