• DocumentCode
    3213095
  • Title

    Multiple-model Based fault diagnosis for actuators of rail vehicle suspension

  • Author

    Xinxin Gu ; Zehui Mao ; Bin Jiang ; Yanhao Zhan

  • Author_Institution
    Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2015
  • fDate
    23-25 May 2015
  • Firstpage
    1676
  • Lastpage
    1681
  • Abstract
    This paper is concerned with the design of a multiple-model based fault diagnosis scheme for suspension system of rail vehicles in order to accomplish the task of detecting and isolating faults with reference to multiple actuators. Considering the disturbance caused by rail track unevenness, the multiple actuator-faulty dynamic models together with corresponding observers are set by means of the proposed design procedure. Simulation results illustrate the effectiveness of fault alarm signals as well as the robustness of disturbance and modeling uncertainty of the railway suspension system.
  • Keywords
    actuators; fault diagnosis; observers; railways; suspensions (mechanical components); fault alarm signals; fault detection; fault isolation; multiple actuator-faulty dynamic models; multiple-model based fault diagnosis; observers; rail track unevenness; rail vehicle suspension actuators; railway suspension system; Actuators; Observers; Rails; Springs; Suspensions; Vehicle dynamics; Vehicles; Fault detection and isolation; Multiple-model; Rail vehicle suspension;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2015 27th Chinese
  • Conference_Location
    Qingdao
  • Print_ISBN
    978-1-4799-7016-2
  • Type

    conf

  • DOI
    10.1109/CCDC.2015.7162189
  • Filename
    7162189