A practical method for reliability analysis of phased-mission systems
A practical method for reliability analysis of phased-mission systems
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DOI：
10.1109/rams.2011.5754460
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发表时间：
2011-04
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影响因子：
--
通讯作者：
S. Amari
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文献类型：
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作者：
S. Amari
许多实用系统是分阶段任务系统，其中任务由多个连续的、不重叠的阶段组成。为了使任务成功，系统必须在每个阶段成功运行。在每个阶段，系统必须完成特定的任务，并且可能承受不同的压力。因此，系统配置、成功标准和组件故障行为可能会随着阶段的不同而变化。这些系统的准确可靠性分析必须考虑各阶段组件状态的统计依赖性。考虑这些动态依赖性对现有的可靠性分析方法提出了独特的挑战。在本文中，我们提出了一种有效的方法，用于精确评估一类特殊的分阶段任务系统，该系统包含多个子系统，其中子系统内的所有组件都是相同的。每个子系统的配置可以随阶段而变化，包括它们的活动和非活动状态、冗余类型以及所需的最少工作组件。如果任何一个所需的（活动的）子系统在某个阶段发生故障，则系统被视为在该阶段发生故障。我们还考虑时变和阶段相关的故障率以及相关的累积损坏效应。从已发布的示例可以看出，对系统配置施加的温和限制适用于广泛的实际系统。所提出的方法可应用于非常大规模的系统，它基于条件概率和计算这些概率的有效递归公式。该方法的主要优点是该方法的计算时间和内存需求与系统大小呈线性关系。我们使用中型到大型系统证明了所提出方法的效率。该方法为实际的大规模分阶段任务系统提供了简单、高效、准确的可靠性分析。
Many practical systems are phased-mission systems where the mission consists of multiple, consecutive, non-overlapping phases. For the mission to be a success, the system must operate successfully during each of the phases. In each phase, the system has to accomplish a specific task and may be subject to different stresses. Thus, the system configuration, success criteria, and component failure behavior may change from phase to phase. An accurate reliability analysis of these systems must consider the statistical dependencies of component states across the phases. The consideration of these dynamic dependencies poses unique challenges to existing reliability analysis methods. In this paper, we propose an efficient method for exact reliability evaluation of a special class of phased-mission systems containing multiple subsystems where all components within a subsystem are identical. The configuration of each subsystem can change with the phases, including their active and inactive status, redundancy type, and minimum required working components. If any one of the required (active) subsystems is failed in a phase, the system is considered to be failed in that phase. We also consider the time-varying and phase-dependent failure rates and associated cumulative damage effects. From the published examples, it can be shown that the mild restrictions imposed on the system configuration are applicable for a wide range of practical systems. The proposed method, which can be applied to very large-scale systems, is based on conditional probabilities and an efficient recursive formula to compute these probabilities. The main advantage of this method is that both the computational time and memory requirements of the method are linear in terms of the system size. We demonstrate the efficiency of the proposed method using medium-scale to large-scale systems. The proposed method provides a simple, efficient, and accurate reliability analysis of practical and large-scale phased-mission systems.