• DocumentCode
    1890843
  • Title

    Conditional MTTF and its computation in Markov reliability models

  • Author

    Choi, Hoon ; Trivedi, Kishor S.

  • Author_Institution
    Duke Univ., Durham, NC, USA
  • fYear
    1993
  • fDate
    26-28 Jan 1993
  • Firstpage
    56
  • Lastpage
    63
  • Abstract
    The authors discuss the notion of conditional MTTF (mean time to failure) and develop an efficient computational method for the absorption probability and conditional MTTF in a finite state-space Markov model. The method requires the solution of two systems of linear equations of size n, where n is the number of transient states in the Markov chain. The concept of cumulative conditional MTTF is introduced and applied to computation of the mean time to critical (unsafe, hazardous) failures
  • Keywords
    Markov processes; reliability theory; state-space methods; Markov reliability models; absorption probability; cumulative conditional MTTF; finite state-space Markov model; linear equations; mean time to failure; transient states; Absorption; Distributed computing; Equations; Fault tolerant systems; Redundancy; Safety; Time measurement;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium, 1993. Proceedings., Annual
  • Conference_Location
    Atlanta, GA
  • Print_ISBN
    0-7803-0943-X
  • Type

    conf

  • DOI
    10.1109/RAMS.1993.296876
  • Filename
    296876
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1890843