Space systems resilience optimisation under epistemic uncertainty

Filippi, Gianluca and Vasile, Massimiliano and Krpelik, Daniel and Korondi, Peter Zeno and Marchi, Mariapia and Poloni, Carlo (2019) Space systems resilience optimisation under epistemic uncertainty. Acta Astronautica, 165. pp. 195-210. ISSN 0094-5765

[img] Text (Filippi-etal-AA-2019-Space-systems-resilience-optimisation-under-epistemic-uncertainty)
Filippi_etal_AA_2019_Space_systems_resilience_optimisation_under_epistemic_uncertainty.pdf
Accepted Author Manuscript
Restricted to Repository staff only until 7 September 2020.
License: Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 logo
Download (862kB) | Request a copy from the Strathclyde author

    Abstract

    This paper introduces the concept of Resilience Engineering in the context of space systems design and a model of Global System Reliability and Robustness that accounts for epistemic uncertainty and imprecision. In particular, Dempster-Shafer Theory of evidence is used to model uncertainty in both system and environmental parameters. A resilience model is developed to account for the transition from functional to degraded states, and back, during the operational life and the dependency of these transitions on system level design choices and uncertainties. The resilience model is embedded in a network representation of a complex space system. This network representation, called Evidence Network Model (ENM), allows for a fast quantification of the global robustness and reliability of the system. A computational optimisation algorithm is then proposed to derive design solutions that provide an optimal compromise between resilience and performance. The result is a set of design solutions that maximise the probability of a system to recover functionalities in the case of a complete or partial failure and at the same time maximises the belief in the desired target value of the performance index.

    Author(s):Filippi, Gianluca, Vasile, Massimiliano ORCID logoORCID: https://orcid.org/0000-0001-8302-6465, Krpelik, Daniel, Korondi, Peter Zeno, Marchi, Mariapia and Poloni, Carlo
    Item type:Article
    ID code:69574
    Keywords:systems engineering, resilience, optimisation, epistemic uncertainty, resilient satellite, complex systems, evidence theory, Motor vehicles. Aeronautics. Astronautics, Aerospace Engineering
    Subjects:Technology > Motor vehicles. Aeronautics. Astronautics
    Department:Faculty of Engineering > Mechanical and Aerospace Engineering
    Strategic Research Themes > Ocean, Air and Space
    Depositing user: Pure Administrator
    Date deposited:02 Sep 2019 14:01
    Last modified:09 Jan 2020 03:25
    Related URLs:
    URI:https://strathprints.strath.ac.uk/id/eprint/69574
    Export data:
    CORE (COnnecting REpositories)