4.6 Article

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

期刊

COGNITIVE COMPUTATION
卷 2, 期 4, 页码 312-315

出版社

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

关键词

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

资金

  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]

向作者/读者索取更多资源

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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