A procedure is presented for obtaining the reliability of series, parallel, and mixed systems. The method, called Most Probable Point System Simulation (MPPSS) is simple, and numerically-based; however, it is more accurate than current analytically-based bounding methods (e.g., bi-modal) and it is computationally efficient. In addition, the method can be used to obtain system sensitivity factors, that is, the importance of each random variable to the system reliability. The procedure is demonstrated through an example.


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    Titel :

    Most Probable Point System Simulation Method


    Weitere Titelangaben:

    Sae Technical Papers


    Beteiligte:
    Cesare, Mark A. (Autor:in) / Sues, Robert H. (Autor:in)

    Kongress:

    SAE 2004 World Congress & Exhibition ; 2004



    Erscheinungsdatum :

    2004-03-08




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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    Sues, R. H. / Cesare, M. A. / Society of Automotive Engineers | British Library Conference Proceedings | 2004


    Most Probable Point System Simulation Method

    Sues, R. H. / Cesare, M. A. / Society of Automotive Engineers | British Library Conference Proceedings | 2004


    Most Probable Point System Simulation method

    Sues,R.H. / Cesare,M.A. / Applied Res.Ass.,US | Kraftfahrwesen | 2004



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