基于联合近似对角化的多源局部放电混合信号分离方法研究

Multi-source partial discharge mixed signal separation method based on JADE algorithm

电气设备内存在多个局部放电源时,会产生混合的局部放电信号,这会给后续信号识别等工作带来困难。针对该问题,以电气设备内同时存在3种不同绝缘缺陷为例,分别用3种指数型信号模型和3种特高频局放数学模型构造了两组混合局放信号,以模拟不同电气设备产生的混合信号,并提出使用一种通用的基于联合近似对角化(JADE)的盲源分离算法来分离信号,接着使用相似系数和信号干扰比两种评价参数来描述分离算法的性能,最后在信号中加入适当的噪声,测试了算法的鲁棒性。仿真结果表明,该方法能够有效分离信号,分离信号与源信号的相似系数分别在0.90以上,信号干扰比在9.0以上,且具备一定的鲁棒性,为后续信号识别工作打下了一定的基础。

When there are multiple partial discharge sources in electrical equipment, mixed partial discharge signals will be generated, which will bring difficulties to subsequent signals identification and other work. Aiming at this problem, this paper to electrical equipment inside at the same time there are three different insulation defects, for example, each with three kinds of signal model with exponential and three kinds of UHF bureau put mathematical model is constructed in the two groups mixed signals, partial discharge to simulate different mixed signals generated by electrical equipment, and put forward using a JADE based on blind source separation algorithm to separate the signal, and then use the similarity coefficient and signal interference ratio of two kinds of evaluation parameters to describe the separation performance of the algorithm, finally add appropriate noise in the signal, test the robustness of the algorithm. The simulation results show that the method can effectively separate the signals, the similarity coefficient of the separated signal and the source signal is above 0.90, and the signal interference ratio is above 9.0, and it has a certain robustness, which lays a certain foundation for the subsequent signal identification work.