摘要
应用传统阈值函数小波对实测的微电网信号去噪时,存在重构信号失真、波形曲线偏厚等问题。在分析某种改进阈值函数基础上,提出一种新的阈值函数表达式。为提高阈值函数适用性,利用Bayes shrink方法计算分解层门限阈值,利用人工蜂群算法对设计的阈值函数进行参数选定。使用实测含噪信号验证各阈值函数的小波去噪效果,可知新阈值函数及其去噪流程能提升信噪比、减小均方误差,达到抑制检测信号噪声、显现信号波形特征目的。
As wavelet de-noising with a traditional threshold function is applied on micro-grid detected signals,there are some problems such as the distortion of reconstructed signal and the thickness of waveform curve.Based on the analysis of one kind of the improved threshold function,a novel expression of wavelet threshold function is proposed in this paper.In order to improve the applicability of that,Bayes shrink method is introduced to calculate the threshold of each decomposition layer,and artificial bee colony(ABC)algorithm is used to select parameters of the novel threshold function.De-noising effects of different threshold functions are verified with measured noisy signals.It is shown that the novel threshold function and its de-noising process can improve the signal-to-noise ratio(SNR)and reduce the mean square error(MSE).And the targets such as noise suppression and waveform characteristics displays of detected signal are achieved.
作者
邓鹏
张良力
刘瑞
王斌
Deng Peng;Zhang Liangli;Liu Rui;Wang Bin(Engineering Research Center for Metallurgical Automation and Detecting Technology of Ministry of Education,Wuhan University of Science and Technology,Wuhan 430081,China)
出处
《电测与仪表》
北大核心
2021年第6期180-185,共6页
Electrical Measurement & Instrumentation
基金
国家自然科学基金资助项目(51877161)。
关键词
微电网
检测信号
小波去噪
改进阈值函数
人工蜂群算法
micro-grid
detected signal
wavelet de-noising
improved threshold function
artificial bee colony algorithm
