电力电缆局部放电检测定位需要采集局部放电(PD)信号,当存在过量噪声时,PD信号会受到严重的干扰,影响PD定位的精度.基于多端定位算法,并结合小波去噪技术和修剪均值滤波技术,提出一种基于修剪均值定位算法的电缆局部放电定位方法.该方法先采用多端定位算法循环100次求出新采集的PD信号位置,得到100种PD位置样本,再根据修剪均值技术的修剪过程、分类过程和均值过程滤除不准确的样本,得到最佳的PD 位置.为了验证该算法的可行性,该文对多端定位算法和修剪均值定位算法在定位效果方面进行对比.仿真对比结果表明:均值滤波定位算法提高了电缆PD定位的准确度,优于多端定位算法.%The partial discharge (PD) detection of power cable need to extract PD signal. If the excessive noise is existed, the PD signal will be seriously affected, and the PD accuracy location is influenced. Based on the multi location algorithm, a trimmed mean location method was proposed combined with wavelet de-noising and the trimmed mean filter technique in this paper. Firstly, 100 kinds of PD position samples were obtained by 100 times of multi location algorithm for PD signal acquisition of the new position. According to the sample pruning process, mean pruning technology classification process and mean filtering process, inaccurate samples were filter out and the best position of PD was obtained. In order to verify the feasibility of the algorithm, the multi localization algorithm and the trimmed mean PD location algorithm were compared. Simulation results show that the mean filter algorithm improves the PD location accuracy of the cable, which is better than the multiple location algorithm.
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