A Real-Time Fault Diagnosis Method for Grid-Side Overcurrent in Train Traction System Using Signal Time Series Feature Pattern Recognition
Author:
Affiliation:
1. Department of Electrical Engineering, School of Automation, Guangdong University of Technology, Guangzhou, China
2. College of Mechanical and Vehicle Engineering, Hunan University, Changsha, China
Funder
National Natural Science Foundation of China
Science and Technology Program of Guangzhou
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/10303745/10124158.pdf?arnumber=10124158
Reference31 articles.
1. A data-driven ground fault detection and isolation method for main circuit in railway electrical traction system
2. Compound-Fault Diagnosis of Rotating Machinery: A Fused Imbalance Learning Method
3. Indirect IGBT Over-Current Detection Technique Via Gate Voltage Monitoring and Analysis
4. Short-Circuit and Over-Current Fault Detection for SiC MOSFET Modules Based on Tunnel Magnetoresistance With Predictive Capabilities
5. Optimal Kernel ELM and Variational Mode Decomposition for Probabilistic PV Power Prediction
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