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An exact Markov chain model for reliability–redundancy allocation problem with a choice of redundancy strategy

机译:一个确切的马尔可夫链模型reliability-redundancy分配问题冗余策略的选择

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Abstract Reliability–redundancy allocation (RRAP), is one of the most significant problems in system design. In all previous studies of RRAPs, the redundancy strategy is considered as a predetermined input parameter. In dealing with this, most studies considered the active strategy, while the more recent ones opt for the standby strategy. In this paper a new mathematical model is developed for the RRAPs so that the redundancy strategies are considered as decision variables and the model will find the best strategy for each subsystem and the best structure for the system. Furthermore, a continuous time Markov chain (CTMC) model is used to calculate the exact reliability value for standby subsystems. Results demonstrate that for a wide range of switch reliability values, the proposed approach leads to better structures with higher reliabilities compared to best previous studies on active and standby modes in all benchmarks.
机译:文摘Reliability-redundancy分配(RRAP),在系统是其中一个最重要的问题设计。冗余策略被认为是预先确定的输入参数。这一点,大多数研究认为活跃策略,而最近的选择备用的策略。数学模型是RRAPs发达冗余策略视为决策变量和模型会发现的为每个子系统和最好的最佳策略结构系统。连续时间马尔可夫链(中国十冶公司)模型计算准确的可靠性值备用子系统。广泛的开关可靠性值,建议的方法会导致更好的结构比以前最好的高可靠性研究活动和备用模式基准。

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