Improvements in AEPD location identification by removing outliers and post processing

Deepthi Antony, G. S. Punekar
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引用次数: 4

Abstract

The mathematical model of an Acoustic Emission Partial Discharge (AEPD) system is solved in the literature using Newton's method with redundant number of sensors (more than 4; eight in this case). The system for numerical experiments consists of eight sensors. The algorithm is implemented using three different initial guesses. For the calculated PD source coordinates, histograms are plotted. After finding the mean and standard deviation, coordinate values which are lying outside different fractions of sigma are removed. The average of remaining set is calculated and it is found that, the accuracy of location identification can be greatly improved.
通过去除异常值和后处理改进AEPD位置识别
文献中采用牛顿法求解了具有冗余传感器数(大于4个)的声发射局部放电(AEPD)系统数学模型。在本例中是8个)。数值实验系统由8个传感器组成。该算法使用三种不同的初始猜测来实现。对于计算得到的PD源坐标,绘制了直方图。在找到平均值和标准差之后,位于不同分数的sigma之外的坐标值被删除。对剩余集的均值进行了计算,发现可以大大提高位置识别的精度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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