This paper presents the real time application of detection filters to the diagnosis of sensor and actuator failures in automotive control systems. The detection filter is the embodiment of a model-based failure detection and isolation (FDI) methodology, which utilizes analytical redundancy within a dynamical system (e.g. engine/controller) to isolate the cause and location of abnormal behavior (i.e. failures). The FDI methodology has been used, among other applications, in the aerospace industry for fault diagnosis of inertial navigation systems and flight controllers. This paper presents the philosophy and essential features of FDI theory, and describes the practical application of the method to the diagnosis of faults in some key sensors in an electronically controlled internal combustion (IC) engine. The experimental results presented in the paper demonstrate that the real time implementation of such detection filters is feasible, opening the way to a new generation of diagnostic strategies.


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    Title :

    Real time detection filters for the onboard diagnosis of incipient faiures


    Additional title:

    Detketionsfilter im Echtzeitbetrieb zur Onboard-Diagnose von beginnenden Mängeln


    Contributors:
    Rizzoni, G. (author) / Min, P.S. (author)


    Publication date :

    1989


    Size :

    22 Seiten, 15 Bilder, 13 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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