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A note on warm standby system

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  • Hazra, Nil Kamal
  • Nanda, Asok K.

Abstract

We investigate, under what circumstances, a warm standby system has more number of surviving standby components, in terms of different stochastic orders, than another similar system at the time of kth failure of the active component of the respective systems.

Suggested Citation

  • Hazra, Nil Kamal & Nanda, Asok K., 2015. "A note on warm standby system," Statistics & Probability Letters, Elsevier, vol. 106(C), pages 30-38.
    • Handle: RePEc:eee:stapro:v:106:y:2015:i:c:p:30-38
    DOI: 10.1016/j.spl.2015.07.004
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    References listed on IDEAS

    as
    1. Ji Hwan Cha & Jie Mi & Won Young Yun, 2008. "Modelling a general standby system and evaluation of its performance," Applied Stochastic Models in Business and Industry, John Wiley & Sons, vol. 24(2), pages 159-169, March.
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    Cited by:

    1. Zhang, Yiying, 2018. "Optimal allocation of active redundancies in weighted k-out-of-n systems," Statistics & Probability Letters, Elsevier, vol. 135(C), pages 110-117.
    2. Neeraj Misra & Jisha Francis, 2020. "Relative ageing in frailty and resilience models," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 83(2), pages 171-196, February.
    3. Neeraj Misra & Jisha Francis, 2018. "Relative aging of (n − k + 1)‐out‐of‐n systems based on cumulative hazard and cumulative reversed hazard functions," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(6-7), pages 566-575, September.

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