港口高压开关柜局部放电信号自适应小波去噪方法  

Adaptive wavelet denoising method for partial discharge signal of port high voltage switchgear

作　　者：徐承军[1] 李嘉群 张鹏[2] Xu Chengjun;Li Jiaqun;Zhang Peng

机构地区：[1]武汉理工大学交通与物流工程学院,武汉430000 [2]武汉理工大学海南研究院,三亚572000

出　　处：《起重运输机械》2024年第11期67-75,共9页Hoisting and Conveying Machinery

基　　金：教育部人文社科基金(20YJC630096)。

摘　　要：为了有效抑制港口高压开关柜局部放电实测信号中存在的白噪声,文中提出一种基于小波的自适应阈值去噪算法。首先对小波阈值去噪算法中的阈值选取及阈值函数进行优化,通过添加变量增加算法的适用性和灵活性,并使用改进后的粒子群算法(SPSO)对添加的变量进行最优值求解从而实现小波分解层数、小波阈值和阈值函数的自适应选取;其次对仿真信号与实测信号进行去噪。结果表明:与传统软、硬阈值函数去噪相比,使用文中所提算法去噪后的信号信噪比分别提高了5.31 dB和2.38 dB。由去噪后信号的时域图可以看出,与其他几种算法相比本文提出的算法不仅去噪效果良好,还能极大地保留信号中的有效成分。In order to effectively suppress the white noise existing in the measured partial discharge signal of port high-voltage switchgear,an adaptive threshold denoising algorithm based on wavelet is proposed.Firstly,the threshold selection and threshold function in the wavelet threshold denoising algorithm were optimized,and the applicability and flexibility of the algorithm were improved by adding variables.The improved particle swarm optimization(SPSO)was applied to solve the optimal value of the added variables,so as to realize the adaptive selection of wavelet decomposition levels,wavelet threshold and threshold function.Secondly,the simulated signal and the measured signal were denoised.The results show that compared with the traditional denoising with soft and hard threshold functions,the signal-to-noise ratio of the proposed algorithm is improved by 5.31 dB and 2.38 dB respectively.From the time domain diagram of the denoised signal,it can be seen that compared with other algorithms,the proposed algorithm not only can bring good denoising results,but also can greatly retain effective components in signals.

关 键 词：高压开关柜 白噪声 局部放电 小波 自适应阈值 粒子群算法 

分 类 号：TM855[电气工程—高电压与绝缘技术]