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Testing and Evaluation of Robust Fault Detection and Identification for a Fault Tolerant Automated Highway System: Final Report

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  • Chen, Robert H.
  • Ng, Hok K.
  • Speyer, Jason L.
  • Mingori, D. Lewis

Abstract

This report concerns vehicle fault detection and identification. The design of a vehicle health monitoring system based on analytical redundancy approach is described. A residual generator and a residual processor are designed to detect and identify actuator and sensor faults of the PATH Buick LeSabre. The residual generator, which includes fault detection filters and parity equations, uses the control commands and sensor measurements to generate the residuals which have a unique static pattern in response to each fault. Then, the residual processor interrogates the residuals by matching the residuals to one of several known patterns and computes the probability of each pattern defined hypothesis.

Suggested Citation

  • Chen, Robert H. & Ng, Hok K. & Speyer, Jason L. & Mingori, D. Lewis, 2004. "Testing and Evaluation of Robust Fault Detection and Identification for a Fault Tolerant Automated Highway System: Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0ss5b8rs, Institute of Transportation Studies, UC Berkeley.
    • Handle: RePEc:cdl:itsrrp:qt0ss5b8rs
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    References listed on IDEAS

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    1. Douglas, R. K. & Speyer, J. L. & Mingori, D. L. & Chen, R. H. & Malladi, D. P. & Chung, W. H., 1996. "Fault Detection And Identification With Application To Advanced Vehicle Control Systems: Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6ff2r546, Institute of Transportation Studies, UC Berkeley.
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