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.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Systematic Benchmarking of Diagnostic Technologies for an Electrical Power System


    Contributors:

    Conference:

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


    Publication date :

    2009-03-07


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




    Systematic benchmarking of diagnostic technologies for an electrical power system

    Kurtoglu, Tolga / Jensen, David / Poll, Scott | IEEE | 2009


    Diagnostic Algorithm Benchmarking

    Poll, Scott | NTRS | 2011


    Experimentation for diagnostic algorithm benchmarking

    Kwiatkowski, Callie | TIBKAT | 2011

    Free access

    Electrical power diagnostic system and methods

    RUTHEISER JOSHUA M | European Patent Office | 2018

    Free access

    Electrical power diagnostic system and method

    RUTHEISER JOSHUA M | European Patent Office | 2022

    Free access