The problem of on-board fault detection and identification in a broad-bandwith, hydraulic, fully-active suspension system is considered. The system is large-scale, non-linear, as well as stochastic. The fault detection and identification unit is based on a properly selected partial system model and an appropriate fault detection and identification methodology. Two designs are considered based on the nearest neighbor and a novel robust geometric methodology, respectively. Their performance characteristics are assessed via numerical simulations. While the Nearest Neighbor based design is effective with faults of fixed size, only the robust geometric design is shown to be capable of identifying faults of variable size.


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    Title :

    On-board fault identification in an automobile fully-active suspension system


    Additional title:

    Eine bordinterne Fehleridentifikation für ein vollständig aktives Federungssystem in einem Kraftfahrzeug


    Contributors:


    Publication date :

    1995


    Size :

    6 Seiten, 1 Bild, 3 Tabellen, 13 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    On-Board Fault Identification in an Automobile Fully-Active Suspension System

    Sadeghi, M. H. / Fassois, S. D. / Swiss Federal Institute of Technology (ETH) et al. | British Library Conference Proceedings | 1995


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