ARTIFICIAL NEURAL NETWORK BASED FAULT LOCATION FOR TRANSMISSION LINES

ARTIFICIAL NEURAL NETWORK BASED FAULT LOCATION FOR TRANSMISSION LINES

This thesis focuses on detecting, classifying and locating faults on electric power transmission lines. Fault detection, fault classification and fault location have been achieved by using artificial neural networks. Feedforward networks have been employed along with backpropagation algorithm for ea...

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Bibliographic Details
Main Author: Ayyagari, Suhaas Bhargava
Format: Others
Published: UKnowledge 2011
Subjects:
Artificial Neural Networks
Feedforward networks
Backpropagation Algorithm
Levenberg-Marquardt algorithm
Electrical and Computer Engineering
Electrical and Electronics
Engineering
Online Access:http://uknowledge.uky.edu/gradschool_theses/657
http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1656&context=gradschool_theses

Internet

http://uknowledge.uky.edu/gradschool_theses/657
http://uknowledge.uky.edu/cgi/viewcontent.cgi?article=1656&context=gradschool_theses

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