电测与仪表Issue(15)：68-73,6.
小波熵自适应阈值的电能质量信号去噪新方法
A Novel Denoising Method for Power Quality Signal Based on Wavelet Entropy Adaptive Threshold
陈晓娟 1王文婷 1李楠1
作者信息
- 1. 东北电力大学 信息工程学院，吉林 吉林 132012
- 折叠
摘要
Abstract
An improved denoising method for power quality signal based on wavelet entropy adaptive threshold has been presented in this paper..The power quality signal is decomposed by wavelet transformatioin , so as to calculate the wavelet entropy after the decomposition.The wavelet entropy and adaptive threshold are combined to determine the threshold of high frequency coefficients.An improved trade -off exponent threshold function is adopted to denoise the power quality signal in order to obtain the reconstructed signal .Through denoising four typical power quality signals (voltage sag signal, voltage transient oscillatory signal, voltage interruption signal and harmonic signal ) and compared with the methods of unbiased risk threshold and the max -min threshold method, the simulation results based on the proposed method show that a larger output signal -to -noise ratio will be obtained with the input signal -to -noise ra-tio as 20dB.关键词
电能质量信号/去噪/自适应阈值/小波熵/阈值函数Key words
power quality signal/denoising/adaptive threshold/wavelet entropy/threshold function分类
信息技术与安全科学引用本文复制引用
陈晓娟,王文婷,李楠..小波熵自适应阈值的电能质量信号去噪新方法[J].电测与仪表,2014,(15):68-73,6.
