Reliability of the railway vehicle suspension system is of critical importance to the safety of the vehicle. On-line health condition monitoring for the suspension system of rail vehicles offers a number of benefits such as preventing further deterioration of vehicle performance, enhancing vehicle safety, increasing operational reliability and availability, and reducing maintenance costs. It is desirable to timely detect the fault and monitor the performance degradation of vehicle suspension systems. In this paper, a comparative study on fault detection methods of urban rail vehicle suspension systems is considered. A novel sensor configuration is proposed where the underlying vehicle system is equipped with only acceleration sensors in the four corners of the carbody, the leading and trailing bogie, respectively. A mathematical model is developed for the considered vehicle suspension system. Both model-based and data-driven approaches are studied for the suspension fault detection problem. The robust observer, the Kalman filter combined with the generalised likelihood ratio test method, the dynamical principle components analysis and the canonical variate analysis approaches are applied to the fault detection problem. The simulation is carried out by means of the professional multi-body simulation tool, SIMPACK. In addition, the advantages and disadvantages of these methods are compared. The simulation results show that the data-driven methods outperform the model-based methods.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A comparative study on fault detection methods of rail vehicle suspension systems based on acceleration measurements


    Beteiligte:
    Wei, Xiukun (Autor:in) / Jia, Limin (Autor:in) / Liu, Hai (Autor:in)

    Erschienen in:

    Vehicle System Dynamics ; 51 , 5 ; 700-720


    Erscheinungsdatum :

    2013-05-01


    Format / Umfang :

    21 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    On fault isolation for rail vehicle suspension systems

    Wei,X. / Jia,L. / Guo,K. et al. | Kraftfahrwesen | 2014


    On fault isolation for rail vehicle suspension systems

    Wei, Xiukun / Jia, Limin / Guo, Kun et al. | Taylor & Francis Verlag | 2014