基于随机矩阵理论的局部放电脉冲快速检测方法

局部放电(partial discharge,PD)的检测是开展电力设备状态评估的重要手段之一.由于现场背景噪声及干扰信号影响,采集到的局部放电信号往往淹没在噪声中.噪声抑制算法是提高局部放电脉冲检测的有效方法,但这些噪声抑制算法往往需要针对所有采集的数据展开,当数据量特别大的时候将严重影响其实时性.因此,提出了一种基...

Fast Detection Method of Partial Discharge Pulse Based on Random Matrix Theory

Partial discharge (PD) detection is one of the important means to carry out the condition assessment of power equipment. Due to the influence of noise and interference signal, the PD signals are often submerged in noise. The noise suppression algorithm is an effective method to improve PD pulse detection, however, the algorithms are often needed to be performed for all the collected data, which can affect the real-time of the proposed algorithms especially when the amount of data is very large. Therefore, in this paper, a new method for rapid detection of partial discharge (PD) pulse based on random matrix spectral distribution theory is proposed. Firstly, the PD time-domain signals received by UHF Sensors are used to construct a high-dimensional random matrix. According to the empirical spectrum distribution theory of time series model under the random matrix theory, the partial discharge pulse is detected in each time window. The simulation results show that the proposed method can quickly identify PD pulse of the data window.