• DocumentCode
    33523
  • Title

    Optimal Allocation of Multistate Components in Consecutive Sliding Window Systems

  • Author

    Yanping Xiang ; Levitin, Gregory ; Yuanshun Dai

  • Author_Institution
    Collaborative Autonomic Comput. Lab., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • Volume
    62
  • Issue
    1
  • fYear
    2013
  • fDate
    Mar-13
  • Firstpage
    267
  • Lastpage
    275
  • Abstract
    This paper considers a system consisting of n linearly ordered multistate components. Each component can have different states: from complete failure, up to perfect functioning. A performance rate is associated with each state. The system fails if in each of at least m consecutive overlapping groups of r consecutive components (windows) the sum of the performance rates of components belonging to the group is lower than a minimum allowable level. It is shown that, in the case of different components, the system reliability depends on their arrangement. The optimal arrangement problem is formulated, and a numerical tool for solving this problem is suggested. The tool uses an extended universal moment generating function technique for system reliability evaluation, and a genetic algorithm for optimization. Examples of system reliability optimization are presented.
  • Keywords
    genetic algorithms; optimal control; variable structure systems; consecutive components; consecutive sliding window systems; extended universal moment generating function technique; genetic algorithm; linearly ordered multistate components; numerical tool; optimal allocation; optimal arrangement problem; system reliability evaluation; system reliability optimization; Genetic algorithms; Optimization; Reliability; Resource management; Sociology; Statistics; Vectors; Consecutive sliding window system; genetic algorithm; multistate components; universal moment generating function;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2013.2241134
  • Filename
    6423245