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

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
Main Authors: Shwe Myint, Prasenjit Dey, Phumin Kirawanich, Chaiyut Sumpavakup
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
ANN classifier
Bayesian regulation backpropagation
Daubechies-6 mother wavelet
fault identification
Karrenbauer transform
traveling wave
Online Access:https://ieeexplore.ieee.org/document/10741265/
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https://ieeexplore.ieee.org/document/10741265/

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