Artificial Neural Network-Based Fault Identification for Grid-connected Electric Traction Network

Identifying the fault type and faulted phase prior to protection coordination and restoration of the remaining healthy part of the utility power grid in the presence of railway traction load is an important process to ensure power supply system reliability of the grid-connected traction network. An...

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Bibliographic Details
Published in:	IEEE access Vol. 12; p. 1
Main Authors:	Myint, Shwe, Dey, Prasenjit, Kirawanich, P., Sumpavakup, Chaiyut
Format:	Journal Article
Language:	English
Published:	IEEE 01.01.2024
Subjects:	Accuracy ANN classifier Backpropagation Bayes methods Bayesian Regulation backpropagation Daubechies-6 mother wavelet Discrete wavelet transforms Fault diagnosis Fault identification Karrenbauer transform Power system reliability Protection Reliability Traction power supplies Traveling wave Wires
ISSN:	2169-3536, 2169-3536
Online Access:	Get full text
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