The reliability of digital flight control systems can often be accurately predicted using Markov chain models. The cost of numerical solution depends on a model's size and stiffness. Acyclic Markov models, a useful special case, are particularly amenable to efficient numerical solution. Even in the general case, instantaneous coverage approximation allows the reduction of some cyclic models to more readily solvable acyclic models. After considering the solution of single-phase models, the discussion is extended to phased-mission models. Phased-mission reliability models are classified based on the state restoration behavior that occurs between mission phases. As an economical approach for the solution of such models, the mean failure rate solution method is introduced. A numerical example is used to show the influence of fault-model parameters and interphase behavior on system unreliability.


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    Titel :

    Markov reliability models for digital flight control systems


    Beteiligte:
    Mcgough, John (Autor:in) / Reibman, Andrew (Autor:in) / Trivedi, Kishor (Autor:in)


    Erscheinungsdatum :

    01.04.1989



    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch


    Schlagwörter :


    Markov reliability models for digital flight control systems

    MCGOUGH, JOHN / REIBMAN, ANDREW / TREDI, KISHOR | AIAA | 1989


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    Methodology for Systems Reliability Analysis using Markov Models

    Moras, Celso Fabrício / Cavalca, Katia Lucchesi | SAE Technical Papers | 2002



    Digital Flight Control Systems

    A. K. Caglayan / H. F. Vanlandingham | NTIS | 1977