A scheme of model-based remote diagnosis is described which decreases the on-board computational costs of the diagnostic algorithm by sending I/O (Input/Output) signals over a data network to an off-board component with sufficient computing power. The concept is based on the decomposition of the fault diagnosis task into fault detection and fault identification. In the proposed scheme, the fault detection task is carried out by the on-board component, whereas fault identification is accomplished by the off-board component. An experimental evaluation is described for typical communication restrictions imposed by the data network, like data losses and transmission delay. For discrete-event systems, a new diagnostic algorithm for the off-board component is pro posed, which is tolerant against the loss of transmitted data.


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    Title :

    Remote diagnosis of discrete-event systems with on-board and off-board components


    Additional title:

    Kombinierte Onboard- und Offboard-Ferndiagnose von diskreten Ereignissen


    Contributors:


    Publication date :

    2006


    Size :

    6 Seiten, 5 Bilder, 1 Tabelle, 6 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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