电气传动系统局部回路放电小波阈值去噪仿真  

Wavelet Denoising Simulation of Local Circuit Discharge in Electric Drive System

作　　者：蒋义然[1] 翟伟芳[1] 冯娟[1] JIANG Yi-ran;ZHAI Wei-fang;FENG Juan(Great Wall College,China University of Geosciences,Hebei Baoding 071000,China)

机构地区：[1]中国地质大学长城学院,河北保定071000

出　　处：《计算机仿真》2020年第10期357-360,449,共5页Computer Simulation

基　　金：河北高等学校科学研究项目(NJZY18207);2018年长城学院大学生创新创业训练计划项目(2018DC-28)。

摘　　要：为了检测电气传动系统中存在的局部回路放电信号,需要去除局部回路放电信号中存在的噪声信号。采用当前方法对电气传动系统局部回路放电信号做去噪处理时,得到的幅值误差较大,且去噪所用的时间较长,存在去噪效果差和去噪效率低的问题。为此提出电气传动系统局部回路放电小波阈值去噪方法,采用指数衰减震荡型脉冲或指数衰减脉冲代替局部脉冲信号,构建电气传动系统局部回路放电信号模型,利用遗传算法完成小波阈值的自适应选择,并确定小波分解的最优分解层,在局部回路放电信号模型的基础上根据最优分解层和最优阈值完成电气传动系统局部回路放电信号的重构,去除电气传动系统局部回路放电信号中存在的噪声信号。仿真结果表明,所提方法的去噪效果好、去噪效率高。In order to detect the local circuit discharge signal in electric drive system, it is necessary to remove the noise signal in local circuit discharge signal. In the current method, the amplitude error is large and the denoising time is long. Therefore, this paper presented a method to remove the noise from wavelet threshold of local circuit discharge of electric drive system. The local pulse signal was replaced by exponential decay concussive pulse or exponential decay pulse. The model of local circuit discharge signal in electric drive system was constructed. The genetic algorithm was used to complete adaptive selection of wavelet threshold. The optimal decomposition layer of wavelet decomposition was determined. Based on the local circuit discharge signal model, the optimal decomposition layer and the optimal threshold were used to reconstruct the local circuit discharge signal in electric drive system. Thus, the noise signals in local circuit discharge signal of electric drive system were removed. Simulation results show that the proposed method has good denoising effect and high denoising efficiency.

关 键 词：电气传动系统 回路放电 小波阈值 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]