Computing interval-valued reliability measures: application of optimal control methods

Igor Kozin, Victor Krymsky

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    Abstract

    The paper describes an approach to deriving interval-valued reliability measures given partial statistical information on the occurrence of failures. We apply methods of optimal control theory, in particular, Pontryagin’s principle of maximum to solve the non-linear optimisation problem and derive the probabilistic interval-valued quantities of interest. It is proven that the optimisation problem can be translated into another problem statement that can be solved on the class of piecewise continuous probability density functions (pdfs). This class often consists of piecewise exponential pdfs which appear as soon as among the constraints there are bounds on a failure rate of a component under consideration. Finding the number of switching points of the piecewise continuous pdfs and their values becomes the focus of the approach described in the paper. Examples are provided.
    Original languageEnglish
    JournalInternational Journal of General Systems
    Volume46
    Issue number2
    Pages (from-to)144-157
    ISSN0308-1079
    DOIs
    Publication statusPublished - 2017

    Keywords

    • Imprecise reliability
    • Control theory
    • Pontryagin's principle of macimum
    • Bounded failure rate

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