交联电缆局部放电检测研究

Research of partial discharge detection for XLPE cable

为了提取局部放电信号特征,将集合经验模态分解方法用于交联电缆局部放电信号分析中,提出了一种用于处理局部放电数据的自适应阈值算法。首先利用集合经验模态分解方法将含有噪声的局部放电信号分解成一些相互独立的模态函数分量,然后对所得的模态函数分量进行自适应阈值处理与重构,从而抑制噪声干扰。该算法克服了经验模态分解方法易产生的模态混叠问题,仿真和实测数据验证了其正确性及可行性。

In order to extract characteristics of partial discharge signals,the paper proposed an adaptive threshold algorithm for processing partial discharge data by using ensemble empirical mode decomposition method for analysis of XLPE cable partial discharge signals.Firstly,partial discharge signals containing noise are decomposed into a number of independent mode function components by ensemble empirical mode decomposition method,and then adaptive threshold processing and reconstruction of the resulting mode function component were carried out to suppress noise.The algorithm overcomes mode mixing problem of empirical mode decomposition method,and simulation and measuring data verify its correctness and feasibility.