In this paper, model and signal-based methods for supervision of suspension elements of a car are presented. A model-based approach using parameter estimation is used to determine the current parameters of a vehicle suspension. Exploiting the analytical redundancy, different faults, like weak dampers or sensor faults, can be distinguished. For fault detection the use of parity equations is shown. In addition, a signal-based approach is presented which makes a detection of tire pressure loss possible. All presented results were drawn from a test rig or from a driving car.


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    Title :

    Fault detection and diagnosis of components of the vehicle vertical dynamics


    Additional title:

    Fehlerentdeckung und Diagnose von Bauteilen der Fahrzeugdynamik


    Contributors:


    Publication date :

    1997


    Size :

    14 Seiten, 14 Bilder, 2 Tabellen, 19 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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