利用神经网络测量电晕声的高压幅值

S. B. Sert, O. Kalenderli
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引用次数: 0

摘要

本研究采用电晕声数据作为网络输入,利用神经网络测量施加在高压线路上的电压大小,而无需与线路进行任何物理接触。本研究中使用的电晕声音数据是在对线路导体施加不同水平的50 Hz交流高压时从实验装置中获得的。记录的电晕和电压幅值的声音数据被应用于神经网络(NN)。为了分析电晕声,采用线性预测系数。结果表明,该方法可用于电压幅值的测量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High voltage magnitude measurement from corona sound by using neural network
This study presents measuring the magnitude of voltage applied on a HV line without any physical contact with the line by neural network using corona sound data as input of the network. Corona sound data used in this study are acquired from an experimental set-up when applying 50 Hz AC high voltage at different levels to the line conductor. Recorded sound data of corona and the voltage magnitudes are applied to a neural network (NN). To analyze corona sound, linear prediction coefficients are used. It is shown from the results that the proposed method can be used for the measuring voltage magnitude.
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