• DocumentCode
    1757019
  • Title

    Joint Reliability Importance in a Consecutive- k -out-of- n :F System and an

  • Author

    Xiaoyan Zhu ; Boushaba, Mahmoud ; Reghioua, Mohamed

  • Author_Institution
    Ind. & Syst. Eng. Dept., Univ. of Tennessee, Knoxville, TN, USA
  • Volume
    64
  • Issue
    2
  • fYear
    2015
  • fDate
    42156
  • Firstpage
    784
  • Lastpage
    798
  • Abstract
    The Joint Reliability Importance (JRI) of two components evaluates the interaction effect between the components on system reliability. This paper focuses on the JRI of components in a consecutive- k-out-of- n:F system, and an m-consecutive- k- out-of- n:F system, both with Markov-dependent components. We derive the closed-form formulas of the JRI of two components using probability generating functions, and extend the results to the JRI of three and more components. We further provide exact conditional distributions of random variables which are used in probability generating functions for determining the JRI of two components. Our numerical examples and tests demonstrate the use of derived formulas, and provide further insights about the JRI for Markov-dependent components.
  • Keywords
    Markov processes; reliability theory; Markov-dependent components; joint reliability importance; probability generating functions; Joints; Magnetic resonance imaging; Markov processes; Polynomials; Probability; Reliability; Vectors; $m$-consecutive-$k$-out-of-$n:$ F system; Markov-dependent components; consecutive-$k$ -out-of-$n:$ F system; joint reliability importance; probability generating function;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2014.2359583
  • Filename
    6913575