Transmission Line Fault Detection Using Wavelet & Artificial Neural Network

Jivitesh Nitin Chavan, A. A. Kale, S. R. Deore
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引用次数: 1

Abstract

The transmission line has different techniques related to the protection of the relay as the development is carried out by the different researchers in this field. The artificial neural network system was adopted for the case of the first order single phase system in the case of the transmission line. The transmission line if present in the parallel system, then the back propagation case of the neural network in the case of the schemes of the relay was adopted. The combined method related to the back propagation as well as the neural network system in the case of the diagnosis of the presence of the faults in the case of single circuit line can be possible. The present work is related to the detection process of the faults for the case of transmission line with the help of the wavelet as well as the process of the artificial neural network.
基于小波和人工神经网络的输电线路故障检测
随着传输线继电保护领域研究人员的发展,传输线继电保护的相关技术也有所不同。以输电线路为例,对一阶单相系统采用人工神经网络系统。如果并联系统中存在传输线,则在继电器方案中采用神经网络的反向传播情况。将反向传播与神经网络相结合的方法应用于单线故障的诊断是可行的。本文研究了基于小波变换的输电线路故障检测过程和人工神经网络的故障检测过程。
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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