• DocumentCode
    2464312
  • Title

    A Universal Generating Function Approach for Reliability Analysis of Multi-state Systems

  • Author

    Yueqin, Wu ; Yun, Fu ; Qihua, Wang

  • Author_Institution
    China Aero-Polytechnology Establ. Organ., Beijing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    16-17 Dec. 2010
  • Firstpage
    207
  • Lastpage
    210
  • Abstract
    Reliability is one of the most critical performance measures of today´s complex systems, such as communication systems and aircraft systems. The complex systems typically have multiple partial failure states in addition to the completely working and totally failed states. Reliability analysis considering multiple possible states is known as multi-state reliability analysis. Multi-state reliability has been emphasized more and more by academia and industry. However, efficient methods were not available for some types of multi-state systems such as multi-state k-out-of-n G systems. In this paper, a new algorithm based on the universal generating function method is developed for determining the reliability of multi-state consecutive k-out-of-n G system. Example is provided to illustrate the proposed approach.
  • Keywords
    failure analysis; large-scale systems; reliability theory; complex systems; multiple partial failure states; multistate systems; reliability analysis; universal generating function approach; Algorithm design and analysis; Performance evaluation; Random variables; Reliability engineering; Safety; multi-state consecutive k-out-of-n G system; reliability; universal generating function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-9247-3
  • Type

    conf

  • DOI
    10.1109/GCIS.2010.309
  • Filename
    5709357