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AN OPERATIONAL APPROACH TO BUDGET-CONSTRAINED RELIABILITY ALLOCATION

机译:预算约束下的可靠性分配的一种操作方法

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In this paper the problem of maximal increase of system reliability is formulated as a resource allocation problem under a budget constraint. Dynamic programing is used for the optimal solution. Time to system failure is dictated by a Markov process. The system is composed of several subsystems. Each subsystem has several possible configurations that exhibit different levels of fault tolerance and incur different incremental costs at different times. Configuration dependence among subsystems is allowed. An example resembling a fault tolerant industrial process is presented, for which the proposed algorithm is used to obtain a set of maximally reliable solutions corresponding to a set of budget constraints.
机译:本文将系统可靠性最大增加的问题表述为预算约束下的资源分配问题。动态编程用于最佳解决方案。系统故障的时间由马尔可夫过程决定。该系统由几个子系统组成。每个子系统都有几种可能的配置,这些配置表现出不同的容错水平,并在不同的时间产生不同的增量成本。允许子系统之间的配置相关性。给出了一个类似于容错工业过程的示例,针对该示例,所提出的算法用于获得与一组预算约束相对应的一组最大可靠的解决方案。

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