Voltage and Current Sensor Fault Diagnosis Method for Traction Converter with Two Stator Current Sensors
Hongwei Tao1, Tao Peng1, Chao Yang1
1School of Automation, Central South University, Changsha 410083, China.
Sensors (Basel, Switzerland)
|March 26, 2022
Summary
This study introduces a new method for detecting incipient faults in high-speed train traction converters. The technique accurately diagnoses sensor faults, enhancing train safety and system reliability.
Area of Science:
- Electrical Engineering
- Railway Engineering
- Control Systems
Background:
- Traction converters are critical for high-speed trains.
- Sensor faults in converters pose significant security risks due to feedback deviations and system degradation.
Purpose of the Study:
- To propose a real-time fault diagnosis method for sensor faults in traction converters.
- To detect, locate, and identify incipient faults in grid current, DC-link voltage, and stator current sensors.
Main Methods:
- Establishing a DC-link model for fault detection using DC-link voltage residuals.
- Utilizing the differential of DC-link voltage residuals for fault location.
- Classifying fault types based on changes in differential values.
Main Results:
- The proposed method effectively detects incipient faults in traction converter sensors.
- Fault location and type identification were achieved with high accuracy.
- Hardware-in-the-loop (HIL) tests validated the method's effectiveness.
Conclusions:
- The developed real-time fault diagnosis method enhances the safety and reliability of high-speed train traction converters.
- The approach successfully addresses incipient sensor faults, a critical concern in railway systems.
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