A concept of fault detection and diagnosis is presented which is applied to fast and closed-loop complex systems. In the future, the aim of this application will be to improve road safety, by controlling actuators when a critical situation is detected. For the present, it is only to provide information about the criticality of the situation. As a real-time process was necessary, the difficulty had lain in conceiving a time-saving algorithm (the frequency of data acquisition was 50 Hz). An other necessity was to provide a control diagnosis properly correlated with human expert opinion. Five critical driving situations are dealt with: foot off the accelerator, banking, sidewind gust, asymmetrical braking and braking while cornering. The supervision structure is described, which is based upon a sequential classification of detected faults and upon the use of the residues of two models. The diagnosis itself is built with a fuzzy logic algorithm. The data were provided by several real car tests. The system is currently being implemented and tested in real road conditions.


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    Titel :

    Real time fault detection and diagnosis: Application to critical behaviour of a road vehicle


    Weitere Titelangaben:

    Echtzeitfehlererkennung und Fehlerdiagnose für Straßenfahrzeuge in kritischen Situationen


    Beteiligte:
    Giraud, I. (Autor:in) / Laurence, P. (Autor:in) / Gissinger, G.L. (Autor:in) / Fervel, M. (Autor:in)


    Erscheinungsdatum :

    1996


    Format / Umfang :

    9 Seiten, 11 Bilder, 9 Quellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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