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

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Systematic benchmarking of diagnostic technologies for an electrical power system


    Contributors:


    Publication date :

    2009-03-01


    Size :

    1130256 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Systematic Benchmarking of Diagnostic Technologies for an Electrical Power System

    Kurtoglu, Tolga / Jensen, David / Poll, Scott | NTRS | 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 | 2022

    Free access

    Electrical Power Diagnostic System and Methods

    RUTHEISER JOSHUA M | European Patent Office | 2015

    Free access