An efficient phased-mission reliability model considering dynamic k-out-of-n subsystem redundancy

An efficient phased-mission reliability model considering dynamic k-out-of-n subsystem redundancy
复制标题

考虑动态k-out-of-n子系统冗余的高效分阶段任务可靠性模型

DOI:
10.1080/24725854.2018.1439205
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发表时间:
2018-07
期刊:
影响因子:
2.6
通讯作者:
Mohammad Rahamat
Mohammad Rahamat
中科院分区:
工程技术3区
文献类型:
--
作者:
Amari Suprasad V;Wang Chaonan;Xing Liudong;Mohammad Rahamat

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摘要针对一类特殊的包含多个k- of-n子系统的分阶段任务系统(pms),提出了一种精确可靠性评估的有效方法,其中每个子系统都有多个相同且不可修复的部件。PMS执行涉及多个、连续和不重叠的行动阶段的任务。在每个阶段,系统必须完成特定的任务,并可能受到不同的压力。因此,每个子系统的配置可以从一个阶段改变到另一个阶段,包括它的活动和非活动状态、冗余类型和最少需要的工作组件。如果任何一个所需的(活动的)子系统在一个阶段中出现故障,则认为系统在该阶段中出现故障。该方法考虑了各阶段构件状态的统计依赖性、时变和相位相关的故障率以及相关的累积损伤效应。该方法基于条件概率和有效的递归公式来计算这些概率,计算时间和内存需求与系统大小成线性关系。通过对中、大型系统的分析,验证了该方法的有效性。
ABSTRACT In this article, an efficient method is proposed for exact reliability evaluation of a special class of Phased-Mission Systems (PMSs) containing multiple k-out-of-n subsystems, each of which has multiple identical and non-repairable components. A PMS performs missions involving multiple, consecutive, and non-overlapping phases of operations. In each phase, the system has to accomplish a specific task and may be subject to different stresses. Thus, the configuration of each subsystem can change from phase to phase, including its 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. The proposed method for accurate reliability analysis of PMS considers statistical dependencies of component states across the phases, time-varying and phase-dependent failure rates, and associated cumulative damage effects. Based on conditional probabilities and an efficient recursive formula to compute these probabilities, the proposed method has both computational time and memory requirements linear to the system size. Medium-scale and large-scale systems are analyzed to demonstrate high efficiency of the proposed method.
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