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Location Algorithm for Partial Discharge Based on Radio Frequency (RF) Antenna Array

机译:基于射频(RF)天线阵列的局部放电定位算法

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The measurement and diagnosis partial discharge (PD) is accepted as one of the most valuable means for assessing the quality of high voltage (HV) power apparatus and cables. Different insulation system has a different discharge mechanism. At present, in the quality of high pressure component testing, the partial discharge and insulation defect of the relationship has become very important standard. Therefore, whether bureau put data identification (partial discharge pulse shape, bureau put data and pulse shape distribution density of statistical parameter) or bureau put classification analysis (statistical algorithms or neural network), will change from traditional identification methods for automatic identification. This paper describes the principles of calculating signal starting time through energy accumulation method and the location algorithm based on time difference. And the Newton algorithm and network search methods to solve the nonlinear equations are given. Finally, we define 3-D coordinate system by four antennas arrays, and calculate the coordinate of the PD location, and prove the algorithm above by lab simulation and locale measurement.
机译:测量和诊断局部放电(PD)被认为是评估高压(HV)电力设备和电缆质量的最有价值的手段之一。不同的绝缘系统具有不同的放电机理。目前,在高压元件的质量测试中,局部放电与绝缘缺陷的关系已成为非常重要的标准。因此,无论是局放数据识别(局部放电脉冲形状,局放数据和统计参数的脉冲形状分布密度)还是局放分类分析(统计算法或神经网络),都将改变传统的自动识别方法。本文介绍了通过能量累积法计算信号起始时间的原理和基于时差的定位算法。给出了求解非线性方程的牛顿算法和网络搜索方法。最后,我们通过四个天线阵列定义3-D坐标系,并计算局部放电位置的坐标,并通过实验室仿真和现场测量证明上述算法。

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