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Cold-standby redundancy allocation problem with degrading components

机译:具有降级组件的冷备用冗余分配问题

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Components in cold-standby state are usually assumed to be as good as new when they are activated. However, even in a standby environment, the components will suffer from performance degradation. This article presents a study of a redundancy allocation problem (RAP) for cold-standby systems with degrading components. The objective of the RAP is to determine an optimal design configuration of components to maximize system reliability subject to system resource constraints (e.g. cost, weight). As in most cases, it is not possible to obtain a closed-form expression for this problem, and hence, an approximated objective function is presented. A genetic algorithm with dual mutation is developed to solve such a constrained optimization problem. Finally, a numerical example is given to illustrate the proposed solution methodology.
机译:处于冷待机状态的组件在被激活时通常被认为与新组件一样好。但是,即使在备用环境中,组件也将遭受性能下降的困扰。本文介绍了具有降级组件的冷备用系统的冗余分配问题(RAP)的研究。 RAP的目标是确定组件的最佳设计配置,以在不受系统资源约束(例如成本,重量)的情况下最大化系统可靠性。在大多数情况下,不可能针对该问题获得闭合形式的表达式,因此,给出了近似的目标函数。开发了具有双重突变的遗传算法来解决这种约束优化问题。最后,给出一个数值例子来说明所提出的解决方法。

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