Chaotic Monkey算法在局放源超声阵列定位中的应用

Application of Chaotic Monkey Algorithm in Partial Discharge Location with Ultrasonic Array Signals

由于传统的局部放电超声阵列定位方法依靠两条测向线的"测向交叉"原理进行局放源的定位,未考虑实际应用时的测向误差影响,会降低定位精度,而利用多平台测向与传统遗传算法相结合的方法进行局放源位置的搜索时,会由于遗传算法易陷入局部最优而导致实用性不强。因此提出一种基于Chaotic Monkey算法的局部放电超声阵列定位方法,简要介绍了其定位原理,通过仿真分析了该方法的定位结果,并与传统遗传算法的搜索结果进行比较,验证了该方法的有效性。

Because the traditional ultrasonic array partial charge （PD） location method uses the principle of“locating cross”to locate PD sources, the method ignores the influence of direction-finding error and reduces the location accuracy. When we use the multi-platform measuring direction and traditional genetic algorithm （GA） to locate PD sources, the practicality of the method is poor because the GA tends to fall into local optimum. Therefore, an ultrasonic array PD location method based chaotic monkey algorithm was proposed. The principle of the method was introduced. The location results were simulated, and the results were compared with the results using GA, which verified the effectiveness of the proposed method.