4.6 Article

Application of Model Based Diagnosis for Diagnosing Faults in the High-speed Maglev's Traction Power Supply System

Journal

COGNITIVE COMPUTATION
Volume 2, Issue 4, Pages 312-315

Publisher

SPRINGER
DOI: 10.1007/s12559-010-9056-1

Keywords

Model-based diagnosis; High-speed Maglev; Traction power supply; Fault diagnosis

Funding

  1. New Century Excellent Talents Project Fund [NECT-08-0825]
  2. Fok Ying Tung Education Fund [101060]
  3. Sichuan Province Distinguished Scholars Fund in China [07ZQ026-012]

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The traction power supply system of the Highspeed Maglev Transrapid plays an important role as the power supply interface between a general power system and the Maglev Transrapid. Most conventional diagnosis systems are expert systems based on experiences which can not diagnose faults beyond those captured by the experiences. In this paper, model-based diagnosis (MBD) as a cognitive diagnosis method is applied to diagnose faults in the traction power supply system. The system models employed including system description, system signs and element models are described. Finally, an actual fault of the traction power supply system of High-speed Maglev is simulated to verify the effectiveness of MBD technique.

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