材料期刊网

为排除电磁干扰信号以及识别不同类型缺陷的放电信号,介绍了特征图谱分类法在避雷器局部放电测试中的应用.由PD-Check测试系统提取信号的波形持续时间以及特征频率两个特征量,采用人工分类法和模糊C均值算法进行特征量分类,分析避雷器产生局部放电信号的案例.结果表明:此方法能够有效地分离干扰信号,可用于分析不同种类的缺陷信号分类和正确诊断避雷器的绝缘缺陷.

In orde to eliminate the electromagnetic interfering signal and recognize the discharge signals of different types of defects, we introduced the application of characteristic spectrum classification method in tesing the partial discharge of arresters. Two characteristic parameters, which are waveform duration and characteristic frequency of signals, were extracted through PD-check test system. The artificial classifi-cation method and fuzzy C-mean algorithm were adopted to classify the characteristic parameters, and the cases of partial discharge signals produced by arresters were analyzed. The results indicate that the method could separate the interference signals effectively, which can provide help to analyze different types of defect signals and diagnoze the insulation defects of arresters correctly.