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首页> 外文期刊>Reliability Engineering & System Safety >Optimal mission abort policies for repairable multistate systems performing multi-attempt mission
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Optimal mission abort policies for repairable multistate systems performing multi-attempt mission

机译：最佳任务中止用于执行多次尝试任务的可修复多体系的政策

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摘要

Research on mission abort strategies was mostly devoted to binary systems that can be only in two states, i.e., operable or failed. However, the real-world systems can often operate in intermediate states with different levels of performance. On the other hand, if a mission has been aborted and a system has been successfully rescued, at some instances, the next attempt can be activated, thus forming the multi-attempt framework. In this paper, the possibility of multiple attempts is considered for the first time for multistate systems. After each rescue, a system is repaired to 'as good as new' state. The repair time depends on its state before the repair. The objective is to maximize the probability of a mission completion within the fixed time deadline for systems operating in a random environment modeled by shocks. Each shock with a given probability results in a system's transition to the states with the lower values of performance. Mission abort is activated for each attempt when the number of experienced shocks exceeds a predetermined number. This number for each attempt should be determined to maximize the mission success probability. For the considered illustrative example, the detailed sensitivity analysis is performed and the relevant discussion is provided.
机译：关键任务中止策略的研究大多专门用于二元系统，这些系统只能在两个州，即可操作或失败。然而，现实世界系统通常可以在具有不同性能水平的中间状态中运行。另一方面，如果在某些情况下成功救出了一个任务并且系统已经成功救出，则可以激活下一次尝试，从而形成多次尝试框架。本文首次考虑多次尝试的可能性进行多态系统。每个救援后，系统被修复为“与新”状态一样好。修复时间取决于修复前的状态。目的是在经过冲击建模的随机环境中运行的系统的固定时间截止日期内最大化任务完成的概率。每个震动都具有给定概率导致系统的转换与性能值较低。当经验丰富的冲击的数量超过预定数量时，每次尝试都会激活任务中止。应确定每次尝试的该号码以最大化任务成功概率。对于所考虑的说明性示例，执行详细的敏感性分析并提供相关讨论。

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