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小波变换区域相关去噪在电能质量监测的应用

pplication of wavelet transform region correlation denoising in power quality monitoring

中文摘要英文摘要

本文根据白噪声在小波变换各尺度间相关性很差的特点,把区域相关去噪算法应用到电能质量去噪中。并通过Matlab仿真,本文提出的方法在电力系统去噪中能够有效的保存暂态的突变信号,并且可以得到更高的信噪比和较低的重构均方误差。这种方法能够很好的保留电能质量的局部特征信号,同时可以有效的去除白噪声。

In this paper, the region correlation denoising algorithm is applied to power quality denoising according to the poor correlation between the white noise in the wavelet transform scales. Through Matlab simulation, the method proposed in this paper can effectively preserve the transient abrupt signals in power system denoising, and can obtain higher signal-to-noise ratio and lower reconstruction mean square error. This method can well retain the local characteristic signal of power quality, and can effectively remove white noise.

李宁

电气测量技术、电气测量仪器电工基础理论

电能质量小波变换区域相关去噪

Power QualityWavelet transformCorrelation of regionsenoising

李宁.小波变换区域相关去噪在电能质量监测的应用[EB/OL].(2022-11-22)[2025-08-02].http://www.paper.edu.cn/releasepaper/content/202211-53.点此复制

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