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Reliability Analysis and Redundancy Allocation for a One-Shot System Containing Multifunctional Components

机译:包含多功能组件的一站式系统的可靠性分析和冗余分配

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Enabling more than one function in a component provides a new cost-effective way to develop a highly reliable system. In this paper, we study the reliability of a one-shot system containing multifunctional components. Such systems have attracted increasing attention in many areas, such as ad hoc sensor networks. We derive the expressions for system reliability and reliability of each function, and formulate a redundancy allocation problem (RAP) with the objective of maximizing system reliability. Unlike constructing a system with single-functional components, the number of copies of a specific function to be included in each multifunctional component (i.e., functional redundancy) needs to be determined as part of the design. Moreover, a start-up strategy for turning on specific functions in these components must be decided prior to system operation. We develop a heuristic algorithm and include it in a two-stage genetic algorithm (GA) to solve the new RAP. We also apply a Tabu search (TS) method for solving such NP-hard problems. Our numerical studies illustrate that the two-stage GA and the TS method are quite effective in searching for high-quality solutions.
机译:在组件中启用多个功能可提供一种新的经济高效的方式来开发高度可靠的系统。在本文中,我们研究了包含多功能组件的单发系统的可靠性。这样的系统已经在许多领域吸引了越来越多的关注,例如自组织传感器网络。我们导出了系统可靠性和每个功能的可靠性的表达式,并以最大化系统可靠性为目标制定了冗余分配问题(RAP)。与构建具有单功能组件的系统不同,需要确定要包含在每个多功能组件中的特定功能的副本数量(即功能冗余)作为设计的一部分。此外,必须在系统运行之前确定用于打开这些组件中特定功能的启动策略。我们开发了一种启发式算法,并将其包含在两阶段遗传算法(GA)中以解决新的RAP。我们还应用了禁忌搜索(TS)方法来解决此类NP难题。我们的数值研究表明,两阶段遗传算法和TS方法在寻找高质量解决方案方面非常有效。

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