• DocumentCode
    3294922
  • Title

    State machine-based fault diagnosis with application in a vehicle chassis system

  • Author

    Xian Zhang ; Pisu, P.

  • Author_Institution
    Dept. of Mech. Eng., Clemson Univ., Clemson, SC, USA
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    6139
  • Lastpage
    6144
  • Abstract
    In this paper, a novel Fault Detection and Identification (FDI) scheme based on a state machine residual estimator method is presented. The FDI scheme is applied to actuator and sensor faults in a vehicle chassis system. To cope with the multiple faults isolation problem, the state machine records and utilizes the previous fault information to determine the current fault state. Simulation results show that multiple fault detection and isolation can be successfully achieved by the proposed state-machine based FDI scheme.
  • Keywords
    actuators; fault diagnosis; finite state machines; sensors; vehicles; actuator; fault detection and identification; multiple faults isolation problem; residual estimator; sensor faults; state machine-based fault diagnosis; vehicle chassis system; Acceleration; Actuators; Bicycles; Control systems; Electrostatic precipitators; Fault detection; Fault diagnosis; Sensor systems; State estimation; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5531595
  • Filename
    5531595