IDEAS home Printed from https://ideas.repec.org/p/cdl/itsrrp/qt8qf806gj.html
   My bibliography  Save this paper

Integration of Fault Detection and Identification into a Fault Tolerant Automated Highway System: Final Report

Author

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

Abstract

This report is continuation of the work of (Douglas et al., 1996) and (Douglas et al., 1997) which concerns vehicle fault detection and identification. A vehicle health monitoring approach based on analytical redundancy is described. Fault detection filters and parity equations use the control commands and sensor measurements to generate the residuals which have a unique static pattern in response to each fault. This allows the faults not only to be detected, but also identified. Sensor noise, process disturbances, system parameter variations, unmodeled dynamics and nonlinearities can distort these static patterns. A Shiryayev sequential probability ratio test that has been extended to multiple hypotheses examines the fault detection filter and parity equation residuals and generates the probability of the presence of a fault. A point design of fault detection filters and parity equations is developed for the longitudinal dynamics of the PATH Buick LeSabre. Fault detection filters are evaluated using empirical data obtained from U.C. Berkeley. The preliminary evaluation is promising in that the fault detection filters can detect and identify actuator and sensor faults as expected even under various disturbances and uncertainties.

Suggested Citation

  • Chen, Robert H. & Ng, Hok K. & Speyer, Jason L. & Mingori, D. Lewis, 2002. "Integration of Fault Detection and Identification into a Fault Tolerant Automated Highway System: Final Report," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt8qf806gj, Institute of Transportation Studies, UC Berkeley.
  • Handle: RePEc:cdl:itsrrp:qt8qf806gj
    as

    Download full text from publisher

    File URL: https://www.escholarship.org/uc/item/8qf806gj.pdf;origin=repeccitec
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Yi, Jingang & Suryanarayanan, Shashikanth & Howell, Adam & Horowitz, Roberto & Tomizuka, Masayoshi & Hedrick, Karl & Alvarez, Luis, 2002. "Development and Implementation of a Vehicle-Centered Fault Diagnostic and Management System for the Extended PATH-AHS Architecture: Part I," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt6nh6r02x, Institute of Transportation Studies, UC Berkeley.
    3. Douglas, Randal K. & Chung, Walter H. & Malladi, Durga P. & Chen, Robert H. & Speyer, Jason L. & Mingori, D. Lewis, 1997. "Fault Detection And Identification With Application To Advanced Vehicle Control Systems," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt1jb6z0qm, Institute of Transportation Studies, UC Berkeley.
    4. Yi, Jingang & Suryanarayanan, Shashikanth & Howell, Adam & Horowitz, Roberto & Tomizuka, Masayoshi & Hedrick, Karl, 2002. "Development and Implementation of a Vehicle-Centered Fault Diagnostic and Management System for the Extended PATH-AHS Architecture: Part II," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt0n77c5rd, Institute of Transportation Studies, UC Berkeley.
    5. Chen, Robert H. & Ng, Hok K. & Speyer, Jason L. & Mingori, D. Lewis, 2002. "Testing and Evaluation of Robust Fault Detection and Identification for a Fault Tolerant Automated Highway System," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt2bw4f9fw, Institute of Transportation Studies, UC Berkeley.

    More about this item

    Keywords

    Engineering;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cdl:itsrrp:qt8qf806gj. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Lisa Schiff (email available below). General contact details of provider: https://edirc.repec.org/data/itucbus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.