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Early fault detection in electric traction drives is crucial for railways. This study presents an integrated sensor fault diagnosis strategy, validated on a hardware-in-the-loop platform, enhancing reliability without hardware modifications.

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Area of Science:

  • Electrical Engineering
  • Railway Systems Engineering
  • Control Systems

Background:

  • Reliability and availability of electric traction drives are critical in railway applications.
  • Sensor faults are a significant cause of failures in these systems.
  • Early fault detection is essential for railway traction drive manufacturers.

Purpose of the Study:

  • To develop and present an integral diagnosis strategy for sensors in railway traction drives.
  • To address the need for early detection and isolation of sensor faults.
  • To propose a solution that does not require hardware modifications to existing traction drives.

Main Methods:

  • An observer-based approach for direct current (DC)-link voltage and catenary current sensors.
  • A frequency analysis approach for motor current phase sensors.
  • A hardware redundancy solution for speed sensors.
  • Validation using a Hardware-in-the-loop (HIL) platform with a Real Time Simulator and a commercial Traction Control Unit.

Main Results:

  • The proposed integral strategy effectively detects and isolates faults in all traction drive sensors.
  • The diagnostic approaches were successfully validated on a real-time HIL platform.
  • The solution integrates multiple fault detection methods without requiring hardware changes.

Conclusions:

  • An integral fault diagnosis solution for railway traction drive sensors has been successfully developed and validated.
  • The strategy enhances the reliability and availability of electric traction drives.
  • The proposed methods provide a reliable decision-making capability within a short time frame.