• DocumentCode
    708558
  • Title

    Reliability analysis of cold standby system with scheduled backups

  • Author

    Qingqing Zhai ; Liudong Xing ; Rui Peng ; Jun Yang

  • Author_Institution
    Sch. of Reliability & Syst. Eng., Beihang Univ., Beijing, China
  • fYear
    2015
  • fDate
    26-29 Jan. 2015
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Cold standby technique is one of the most commonly applied techniques to achieve high reliability requirement of modern products. This paper studies a 1-out-of-n cold standby system, where scheduled backups are performed to ensure that a standby component can take over the task effectively when the online component fails. Since a component may fail during switching from the cold standby state to the online state, effect of imperfect switch is also considered. Lifetimes of components in the considered system can follow arbitrary distributions and are not necessarily identical. Backup intervals are deterministic but can be non-identical. A multivalued decision diagram (MDD)-based analytical approach is proposed to evaluate reliability of 1-out-of-n cold standby systems subject to scheduled backups. Illustrative examples are provided. Correctness of the proposed method is verified using Monte Carlo simulations.
  • Keywords
    Monte Carlo methods; decision theory; mechanical products; reliability; MDD-based analytical approach; Monte Carlo simulation; cold standby system; cold standby technique; multivalued decision diagram; product reliability requirement; reliability analysis; scheduled backup; standby component; Monte Carlo methods; Probability; Redundancy; Servers; Space missions; Switches; 1-out-of-n; cold standby; imperfect switch; multi-valued decision diagram; scheduled backups;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Reliability and Maintainability Symposium (RAMS), 2015 Annual
  • Conference_Location
    Palm Harbor, FL
  • Print_ISBN
    978-1-4799-6702-5
  • Type

    conf

  • DOI
    10.1109/RAMS.2015.7105121
  • Filename
    7105121