The safe and reliable operation of complex aerospace vehicles requires rapid and accurate detection and identification of system faults. Discrete model-based fault diagnostic systems (FDS) are often used when rapid real-time fault detection is needed. Given a vector of current discretized sensor readings, such a diagnostic algorithm produces fault hypotheses as its output. In this paper, we present DVER (Diagnostic VERification), a tool set to support the automation of validation and improvement of the central FDS components — the discrete model and associated sensor data processing capabilities. We present the results of applying the DVER tool chain to a modelbased FDS for the NASA Advanced Diagnostic and Prognostic Testbed (ADAPT) system, a testbed for a redundant electrical power distribution system.


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    Titel :

    DVER: A tool chain for cross-validation and perfection of discrete model-based diagnostic systems


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    2016-03-01


    Format / Umfang :

    854583 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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