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Optimal mission abort policies for multistate systems

Author

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  • Levitin, Gregory
  • Finkelstein, Maxim
  • Huang, Hong-Zong

Abstract

All previous research on optimal mission abort policies was devoted to binary systems that can be only in two states, i.e., operable or failed. This paper considers mission abort and rescue strategies for multistate systems that, apart from a completely operable state and the state of a total failure, can operate in intermediate states with different levels of performance. A system operates in a random environment modeled by a renewal process of shocks. With each shock, the state of a system can deteriorate with certain probabilities that can eventually result in the total failure. Therefore, in order to increase system's survival probability, a mission can be aborted and a rescue procedure can be activated. The trade-off between the mission success probability and the system's survival probability is studied and an optimal number of shocks for initiating the abort procedure is defined by solving the corresponding optimization problem. The detailed numerical example illustrates our findings.

Suggested Citation

  • Levitin, Gregory & Finkelstein, Maxim & Huang, Hong-Zong, 2020. "Optimal mission abort policies for multistate systems," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    • Handle: RePEc:eee:reensy:v:193:y:2020:i:c:s0951832019306350
    DOI: 10.1016/j.ress.2019.106671
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    References listed on IDEAS

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    9. Qiu, Qingan & Cui, Lirong, 2019. "Optimal mission abort policy for systems subject to random shocks based on virtual age process," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 11-20.
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