• DocumentCode
    326868
  • Title

    Inequality-based reliability estimates for complex systems

  • Author

    Hill, Stacy D. ; Spall, James C.

  • Author_Institution
    Appl. Phys. Lab., Johns Hopkins Univ., Laurel, MD, USA
  • Volume
    2
  • fYear
    1998
  • fDate
    21-26 Jun 1998
  • Firstpage
    1177
  • Abstract
    Full-system testing for large-scale systems is often infeasible or very costly. Thus, when estimating system reliability, it is desirable to employ a method that uses subsystem tests, which are often less expensive and more feasible. This paper presents a method for calculating full-system reliability based on subsystem tests. The method does not require that subsystems be independent. It accounts for dependencies through use of certain probability inequalities. The inequalities provide the basis for valid reliability calculations while not requiring full-system tests or information on greater-than-pairwise subsystem failure modes. We illustrate the method in an example
  • Keywords
    estimation theory; failure analysis; fault diagnosis; large-scale systems; least mean squares methods; probability; reliability theory; testing; complex systems; failure modes; fault detection; full-system reliability; large-scale systems; least squares; probability inequality; subsystem tests; Fault detection; Least squares approximation; Least squares methods; Mean square error methods; Reliability; System identification; System testing; Uncertainty; Upper bound; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference, 1998. Proceedings of the 1998
  • Conference_Location
    Philadelphia, PA
  • ISSN
    0743-1619
  • Print_ISBN
    0-7803-4530-4
  • Type

    conf

  • DOI
    10.1109/ACC.1998.703598
  • Filename
    703598