Real-time detection using wavelet transform and neural network of short-circuit faults within a train in DC transit systems

IEE Proceedings: Electric Power Applications

Volumn 148, Issue 3, 2001, Pages 251-256

  Chang, C S ^a   Kumar, S ^a   Liu, B ^a   Khambadkone, A ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

NEURAL NETWORKS; SURGE PROTECTION; WAVELET TRANSFORMS;

REAL-TIME DETECTION;

SHORT CIRCUIT CURRENTS;

EID: 0035333424     PISSN: 13502352     EISSN: None     Source Type: Journal    
DOI: 10.1049/ip-epa:20010350     Document Type: Article

References (13)

1. 4Q/GTO chopper propulsion control system for Singapore MRT
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3. DC trolley fires - A new solution to an old problem
4. The development of a neural network-based multifunction protection relay
5. Ten Lectures on Wavelets
6. A tutorial on wavelets from an electrical engineering perspective, Part 1: Discrete wavelet techniques
7. Real-time and off-line transmission line fault classification using neural networks
8. Six-pulse three-phase rectifier bridge models for calculating closeup and remote short-circuit transients on DC supplied railways
9. Accurate track modelling for fault current studies on third-rail metro railways
10. Electric railway traction - Part 1 electric traction and DC traction motor drives
11. Railway traction vehicle electromechanical simulation using SIMULINK