Automated health management is a critical functionality for complex aerospace systems. A wide variety of diagnostic algorithms have been developed to address this technical challenge. Unfortunately, the lack of support to perform large-scale V&V (verification and validation) of diagnostic technologies continues to create barriers to effective development and deployment of such algorithms for aerospace vehicles. In this paper, we describe a formal framework developed for benchmarking of diagnostic technologies. The diagnosed system is the Advanced Diagnostics and Prognostics Testbed (ADAPT), a real-world electrical power system (EPS), developed and maintained at the NASA Ames Research Center. The benchmarking approach provides a systematic, empirical basis to the testing of diagnostic software and is used to provide performance assessment for different diagnostic algorithms.


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    Titel :

    Systematic Benchmarking of Diagnostic Technologies for an Electrical Power System


    Beteiligte:
    Kurtoglu, Tolga (Autor:in) / Jensen, David (Autor:in) / Poll, Scott (Autor:in)

    Kongress:

    IEEE Aerospace Conference ; 2009 ; Big Sky, MT, United States


    Erscheinungsdatum :

    07.03.2009


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




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