含噪电能质量信号小波降噪的方法与改进

发布时间：2018-04-28 18:14

本文选题：电能质量 + 小波降噪　；参考：《实验室研究与探索》2017年06期

【摘要】：在电力系统电能质量信号的检测中,不可避免会遇到因为测量设备故障以及环境因素的影响,使得信号夹杂噪声,使得采集到的信号受到一定程度的噪声污染,干扰了检测电力系统的电能质量准确性,而小波降噪在信号降噪中具有很大优势,所以利用小波降噪降低电力系统信号中的噪声具有重要的意义。在比较分析小波变换的优势,多次进行小波变换反馈信号特征,通过观察信号的时频特性,应用小波变换局部化特性可调整不同叠加信号的系数,可最大限度的得到电能质量的有用的分析信号,然后再分析和运用多种阈值处理方式改进小波降噪,并应用差值的方法分析哪种阈值处理方式更加有效。
[Abstract]:In the detection of power quality signal in power system, it is inevitable that the signal is mixed with noise because of the fault of measuring equipment and the influence of environmental factors, and the collected signal is polluted by noise to a certain extent. It interferes with the accuracy of power quality detection in power system, and wavelet denoising has great advantages in signal de-noising, so it is of great significance to reduce the noise in power system signal by wavelet de-noising. After comparing and analyzing the advantages of wavelet transform, the feedback signal characteristics of wavelet transform are carried out many times. By observing the time-frequency characteristic of the signal, the coefficients of different superposition signals can be adjusted by applying the localization characteristic of wavelet transform. The useful analysis signal of power quality can be obtained to the maximum extent, then the wavelet denoising is improved by using various threshold processing methods, and the difference method is applied to analyze which threshold processing method is more effective.
【作者单位】：四川大学电气信息学院;
【基金】：国家自然科学基金项目(90715026)
【分类号】：TM711;TN911.7

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