Fault detection is considered to be one way to improve system reliability and dependability for railway vehicles. The secondary lateral and anti-yaw dampers are the most critical parts in railway suspension systems. So far, the dampers have been modelled as linear components in the fault detection and isolation observer design. In this work, a Hybrid Extended Kalman filter is used to capture the nonlinear characteristics of the dampers. In order to detect and isolate faults, a nonlinear residual generator is developed, which can distinguish clearly between different types of faults. A lateral half train model serves as an example for the proposed technique. The results show that failures in the nonlinear suspension system can be detected and isolated accurately.


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    Title :

    Fault detection and isolation for a nonlinear railway vehicle suspension with a Hybrid Extended Kalman filter


    Contributors:

    Published in:

    Vehicle System Dynamics ; 51 , 10 ; 1489-1501


    Publication date :

    2013


    Size :

    13 Seiten




    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English