Smart Fault Location and Fault Classification in Transmission Line

被引：0
|
作者：
Neethu, A. S. [1 ]
Angel, T. S. [1 ]
机构：
[1] Amrita Univ, Amrita Vishwa Vidyapeetham, Amrita Sch Engn, Dept Elect & Elect Engn, Coimbatore, Tamil Nadu, India
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON SMART TECHNOLOGIES AND MANAGEMENT FOR COMPUTING, COMMUNICATION, CONTROLS, ENERGY AND MATERIALS (ICSTM) | 2017年
关键词：
Artificial neural network (ANN); Wavelet transform (WT); Discrete wavelet transform (DWT); NEURAL-NETWORK APPROACH;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Transmission lines are the essential link between power stations and consumers, which carries bulk amount of power to the required premises. So protection of transmission lines become more predominant and need exact fault location on transmission line. This paper presents a better way for finding fault location using discrete wavelet transform (DWT) and artificial neural network (ANN) and one algorithm is developed for finding the type of fault using wavelet transform. The simulation is carried out using MATLAB software.
引用
收藏
页码：339 / 343
页数：5
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