基于小波降噪的电晕放电辐射信号时域特性分析

Characteristic Analysis of Time Domain for Signals Radiation from Corona Discharge Based on Wavelet Denoise

研究电晕放电辐射信号既有利于消除其危害又有助于加强对其利用,小波变换是分析电晕放电辐射信号的一种很好的方法。采用相关系数法选择最佳小波,以史坦无偏估计法来确定小波重构的阈值,并根据采样率来确定分解层,对电晕放电辐射信号进行降噪处理。在小波降噪的基础上,分析了电晕放电辐射信号时域波形的一阶形状参量,得出电晕放电辐射信号的脉冲变换时间随电压升高而减小、相同电压下正电晕放电辐射信号的脉冲变换时间要大于负电晕的脉冲变换时间等结论。

It is advantageous to remove its harm and to utilize in strengthen as to its exploitation for studying the signals radiation from corona discharge. The wavelet transform technique is an efficient way to analyze the signals radiation from corana discharge. Based on wavelet denoise, the first-order shape parameter of time domain waveform for signals radiation from corona discharge is analyzed. Some conclusions are got from the analysis. For example, the transformation time of pulse radiation from corona discharge is opposite to the potential of discharge voltage, the transformation time of pulse radiation from positive corona discharge is longer than that from negative corona discharge, and so on.