Space power system automation requires comprehensive fault detection, isolation and recovery. Extending current approaches to on-board power management to isolate and resolve (as well as detect) failures would greatly increase the size and complexity of the flight software. Instead, we identified a technique called model-based constraint suspension which can isolate a large percentage of failures, including unforeseen failures, with minimal increases in code size. Adapting this digital technique to an electrical power system required us to address several key issues including model construction and fidelity. This paper contrasts several approaches to model-based diagnostics to our diagnostic system, Marple, which has been demonstrated on a power testbed.


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    Title :

    Modeling Power Systems for Diagnosis: How Good is Good Enough?


    Additional title:

    Sae Technical Papers


    Contributors:

    Conference:

    27th Intersociety Energy Conversion Engineering Conference (1992) ; 1992



    Publication date :

    1992-08-03




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




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