FFT优化算法与小波分析在局部放电检测中的应用

摘要

在实际检测过程中受多种干扰信号的影响,局部放电信号的检测数据不够准确,难以反映出真实局部放电情况,工作效率低,为此提出了一种基于快速傅里叶变换(fast Fourier transformation,FFT)优化算法与小波分析联合检测方法.首先对含有噪声的局部放电信号进行FFT优化处理,在此基础上再利用小波分析进一步处理,最后获得去除干扰的局部放电信号.由实际案例中的处理效果可知,该方法能够很好地去除噪声信号的干扰,验证了该方法在局部放电检测中的准确性,为进一步研究局部放电提供了准确的数据来源.%Affected by various interference signals in actual detection, detection data of partial discharge (PD) signals is not correct enough, which can not reflect real PD situation and may cause low working efficiency.Therefore, this paper presents a kind of combined detection method based on fast Fourier transformation (FFT) optimization algorithm and wavelet analysis.Firstly, this method conducts FFT optimization processing for PD signals with noise, then adopts wavelet analysis for further processing and finally obtains PD signals removing interference.On the basis of processing effects in actual cases, it is proved that this method can well remove interference of noise signals and has high veracity in PD detection so as to provide correct data source for further research on PD.