• DocumentCode
    2739985
  • Title

    Service diagnosis of dynamical systems based on local structural models

  • Author

    Ungermann, Michael ; Lunze, Jan ; Schwarzmann, Dieter

  • Author_Institution
    Corp. Sector Res., Robert Bosch GmbH, Stuttgart, Germany
  • fYear
    2011
  • fDate
    20-23 June 2011
  • Firstpage
    455
  • Lastpage
    460
  • Abstract
    The paper presents a new approach to the selection of tests used in service diagnosis of dynamical systems. It proposes a method to select input signals that steer the system into a particular operating region and to find the corresponding local residuals for evaluating the system´s I/O behavior. The tests allow the isolation of faults that are generally not distinguishable, but become isolable under specific operation conditions. The method is based on the analysis of the structure graph, which represents the couplings among external and internal signals of the system and the possible faults. This graph changes if the system variables are restricted to different operating regions. Accordingly, the local structure of the system distinguishes from the global structure that holds for the unrestricted variables. By utilizing this difference, it is possible to determine tests that are sensitive to specific faults. The method is illustrated by its application to a throttle valve.
  • Keywords
    fault diagnosis; nonlinear dynamical systems; dynamical system; faults isolation; global structure; internal signals; local structural model; service diagnosis; structural analysis; structure graph; Analytical models; DC motors; Generators; Mathematical model; Sensitivity; Sensors; Valves; Structural analysis; active diagnosis; automotive application; service diagnosis; test generation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control & Automation (MED), 2011 19th Mediterranean Conference on
  • Conference_Location
    Corfu
  • Print_ISBN
    978-1-4577-0124-5
  • Type

    conf

  • DOI
    10.1109/MED.2011.5982980
  • Filename
    5982980