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

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Abstract

The traction power supply system of the High-speed 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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Authors and Affiliations

  1. School of Electrical and Engineering, Southwest Jiaotong University, Chengdu, Sichuan, 610031, China

    Zhigang Liu, Tongjie Liu & Wei Zhong

Authors
  1. Zhigang Liu
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  2. Tongjie Liu
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  3. Wei Zhong
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Corresponding author

Correspondence to Zhigang Liu.

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Liu, Z., Liu, T. & Zhong, W. Application of Model Based Diagnosis for Diagnosing Faults in the High-speed Maglev’s Traction Power Supply System. Cogn Comput 2, 312–315 (2010). https://doi.org/10.1007/s12559-010-9056-1

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  • DOI: https://doi.org/10.1007/s12559-010-9056-1

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