Multivalued decision diagram-based common cause failure analysis in phased-mission systems

Multivalued decision diagram-based common cause failure analysis in phased-mission systems
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阶段任务系统中基于多值决策图的共因故障分析

DOI:
10.1016/j.cie.2020.106622
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发表时间:
2020-08
影响因子:
7.9
通讯作者:
Tang Bo
Tang Bo
中科院分区:
工程技术2区
文献类型:
--
作者:
Wang Chaonan;Xing Liudong;Tang Bo

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由于冲击或共同的根本原因,多个系统组件可能同时发生故障,这对整个系统故障有很大影响。这种相关组件故障称为共因故障(CCF)。已经进行了大量研究,以解决CCF在不同类型系统的可靠性分析中的影响。本文首次将多值决策图(MDDS)应用于不可修阶段任务系统(PMS)在外部冲击作用下的可靠性分析。提出了一种基于MDDS的显式方法和两种隐式方法,并进行了比较。虽然这三种基于MDD的方法在空间和计算复杂性方面有所不同,但实例表明,所有这些方法都提供了较低的计算复杂性,同时解决了CCF和分阶段操作造成的动力学和依赖性。
Due to a shock or shared root cause, multiple system components may fail at the same time contributing significantly to the entire system failure. Such dependent component failures are referred to as common cause failures (CCFs). A rich body of research has been conducted for addressing effects of CCFs in reliability analysis of diverse types of systems. This paper first adapts multiple-valued decision diagrams (MDDs) for analyzing reliability of a non-repairable phased-mission system (PMS) subject to CCFs caused by external shocks. An explicit method and two implicit methods based on MDDs are proposed and compared. While the three MDD-based methods differ in terms of space and computation complexities, examples show that all these methods offer low computational complexity while addressing dynamics and dependencies caused by CCFs and phased operations.
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发表时间: 2013-04
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影响因子: --
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