Constellations require complex operations and must grant high service availability. This makes autonomy and enhanced on-board Fault Detection, Isolation and Recovery (FDIR) one of the most urgent developments for the reduction of operational costs and of reaction times to events. This paper presents the results of an ongoing activity aiming at exploiting the assets available during satellites constellations development and operation, such as the models, the Avionics Test Bench, the operational data and events, to develop a workflow that allows fast implementation of high quality AI-based solutions for FDIR and lifetime prediction at constellation level. The ongoing activity benefits from the spin-in of diagnostics and prognostics solutions from similar automotive applications, characterised by combined on-board and off-board processing, operators-in-the-loop and need for on-board solutions easy re-configuration.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    AI-based On-board Reconfigurable FDIR and Lifetime Prediction for Constellations


    Contributors:


    Publication date :

    2023-10-02


    Size :

    4456980 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Envisat In Flight Experience: FDIR and Lifetime Optimisation

    Milligan, David / Bargellini, Pier / Rudolph, Andreas et al. | AIAA | 2006


    Columbus onboard FDIR concept

    Küke, Reimund / Kellner, Albrecht / Sved, John et al. | TIBKAT | 1989


    OMS FDIR: Initial Prototyping

    E. W. Taylor / M. A. Hanson | NTIS | 1990


    Synthesizing FDIR Recovery Strategies

    Müller, Sascha | German Aerospace Center (DLR) | 2018

    Free access

    OMS FDIR: Initial prototyping

    Taylor, Eric W. / Hanson, Matthew A. | NTRS | 1990