【摘要】 测向交叉定位是一种通过对放电信号进行分析获得放电源位置信息的方法,但在多放电源的情况下存在大量的虚假定位,如何消除测向线虚假定位是其关键技术。文中提出一种利用同一信号的相关性原理,对两个阵列测向结果进行信号分离来去除虚假定位的方法。该方法首先运用多重信号分类(MultipleSignalClassification,MUSIC)算法对多个局部放电源进行观测和计算,得到各个信号源的方位;然后利用信号的方向信息分别进行信号的分离,再将分离信号进行相关性运算,依据信号本身的相关性进行位置配对,从而去除了虚假定位。该方法只需要测向信息,无须其他先验知识。仿真结果表明了该方法的有效性和实用性。更多还原

【Abstract】 Direction-finding cross-localization is a method to obtain location information of partial discharge sources by analyzing partial discharge signals within power transformer. Under the condition of multiple discharge sources a lot of mendacious localizations exist, therefore how to remove the mendacious localization during the direction-finding is the key problem in the localization of discharge sources. Here, a method to remove the mendacious localization is proposed, in which the signals of direction-finding results from two sensor arrays are separated by use of correlation principle of the same signal. In the proposed method, firstly adopting the observation and calculation of multi-local discharge sources by multiple classification (MUSIC) algorithm, the azimuth of each signal source is obtained; then using the directional information of each signal to separate the signals, the correlation operation is applied to these separated signals and according to the correlativity of each signal its own the location matching is conducted, thus the mendacious localization is removed. The proposed method only need the direction-finding information and need not have any other prior knowledge. Simulation results show that the proposed method is effective and practicable.更多还原