毕业论文-多态系统可靠性精选.docxVIP

多态系统可靠性改善中的多态元件的关键性分析摘要本文用多态元件(MSMC)为多态系统评估并实施了复合重要措施(CIM)。重要措施常常被作为一种手段用来对系统内单个元件的影响和临界重要度进行评估和排名，然而很少被用作为系统可靠性改进方法的优先次序排序的导向。对于多态系统,先前开发的措施有时并不恰当,他们不能满足所有用户的需求。本研究有两个相关联的目标:第一,要区分两种类型的重要措施,他们就多态系统的可靠性可用MSMC评估部件的临界重要度；第二,基于CIM,发展一个分配启发式的组件来最大限度地改善系统可靠性。这种启发式用蒙特卡罗模拟的算法和最大流最小切割算法作为手段计算组件CIM。这些措施就变成了一个基于成本的复合权值,引导分配多余的元素融入现行体制中。不同的复杂系统的实验结果表明了这些新CIM就多态系统的可靠性能有效地估计组件的临界重要度。同样,这些结果表明,该基于启发式的CIM可以作为一种快速、有效的技术来引导系统可靠性的改进。关键词：重要措施；多态系统；可靠性改进AbstractThis paper evaluates and implements composite importance measures (CIM) for multi-state systems with multi-state components (MSMC).Importance measures are frequently used as a means to evaluate and rank the impact and criticality of individual components within a system yet they are less often used as a guide to prioritize system reliability improvements. For multi-state systems, previously developed measures sometimes are not appropriate and they do not meet all user needs. This study has two inter-related goals: first, to distinguish between two types of importance measures that can be used for evaluating the criticality of components in MSMC with respect to multi-state system reliability, and second, based on the CIM, to develop a component allocation heuristic to maximize system reliability improvements. The heuristic uses Monte-Carlo simulation together with the max-flow min-cut algorithm as a means to compute component CIM. These measures are then transformed into a cost-based composite metric that guides the allocation of redundant elements into the existing system. Experimental results for different system complexities show that these new CIM can effectively estimate the criticality of components with respect to multi-state system reliability. Similarly, these results show that the CIM-based heuristic can be used as a fast and effective technique to guide system reliability improvements.Keywords:Importance measures; Multi-state systems; Reliability improvement1介绍一个系统设计中的特殊的组件的临界重要度是依据重要措施进行量化的。对于系统展示二进制功能行为(例如,系统和系统部件要么完