摘要
检测淹没于大量噪声中的局放声信号是电力监测系统的一个难题,为解决低信噪比下局放声信号漏检率较高的问题,提出了利用小波滤波对电力电缆局放信号的噪声消除的方法。针对电力电缆局放信号的特点,优化并选择了适合局放信号的coif3小波基对局放信号进行滤波处理。且在此基础上提出了分层阈值设定算法,分别用传统自适应阈值的算法和提出的分层阈值设定算法对含噪信号进行处理。经过试验验证提出的分层阈值设定算法在-10dB信噪比的情况下仍然能够实现漏检率为0的性能。
The Bureau was submerged in a lot of noise in signal detection is a difficult problem in power monitoring system,in order to solve the problem of low signal-to-noise ratio is higher than under the Bureau of inspection and signal problems,and puts forward the method of noise on the power cable PD signal using the wavelet filter to eliminate the.According to the characteristics of partial discharge signal of power cable,the coif3 wavelet base suitable for PD signal is optimized and selected,and the signal is filtered.On this basis,a hierarchical threshold setting algorithm is proposed,which uses the traditional adaptive threshold algorithm and the proposed hierarchical threshold setting algorithm to process the noisy signal.The experimental results show that the proposed hierarchical threshold setting algorithm can achieve the performance of undetected rate of 0 under the condition of-10 dB signal to noise ratio.
作者
张俊杰
冯俞
Zhang Junjie;Feng Yu(Key Laboratory of Special Optical Fiber and Optical Access Networks, Shanghai University, Shanghai 200072, Chin)
出处
《电子测量技术》
2018年第5期68-72,共5页
Electronic Measurement Technology
关键词
小波变换
小波基选择
互相关系数
阈值选取
wavelet transform
wavelet basis selection
cross correlation coefficient
threshold selection
