MDD-Based Method for Efficient Analysis on Phased-Mission Systems With Multimode Failures
MDD-Based Method for Efficient Analysis on Phased-Mission Systems With Multimode Failures
复制标题
DOI：
10.1109/tsmc.2013.2277692
复制
发表时间：
2014-06
期刊：
影响因子：
--
通讯作者：
Yu-chang Mo;L. Xing;J. Dugan
中科院分区：
文献类型：
--
作者：
Yu-chang Mo;L. Xing;J. Dugan
许多实际系统是具有多模式故障的阶段性任务系统，其中任务由多个非重叠的操作阶段组成，并且系统部件可能呈现多种故障模式。在MFP-MS中，同一部件的不同阶段之间以及不同失效模式之间存在相关性，这给MFP-MS的可靠性分析带来了困难。提出了一种新的基于多值决策图的不可修MFP-MS可靠性分析方法。近年来，MDDS已被应用于具有多个元件状态的单相系统的可靠性分析。在本文中，我们做出了新的贡献，提出了一种新的方法来适应多阶段多模式故障系统的可靠性分析。举例说明如何生成和评估MDD模型以获得任务可靠性度量。通过几个实例和一个全面的基准研究，比较了基于MDD的方法和现有的基于二叉决策图(BDD)的MFPMS分析方法的性能。实验结果表明，与基于BDD的方法相比，基于MDD的方法具有更低的计算复杂度和更简单的建模和评估算法，可以有效地应用于大型实际案例中。
Many practical systems are phased-mission systems with multimode failures (MFPMSs) where the mission consists of multiple nonoverlapping phases of operation, and the system components may assume more than one failure mode. In MFPMSs, dependence arises among different phases and among different failure modes of the same component, which makes the reliability analysis of MFPMSs difficult. This paper proposes a new analytical method based on multivalued decision diagrams (MDDs) for the reliability analysis of nonrepairable MFPMSs. MDDs have recently been applied to the reliability analysis of single-phase systems with multiple component states. In this paper, we make the new contribution by proposing a novel way to adapt MDDs for the reliability analysis of systems with multiple phases and multimode failures. Examples show how the MDD models are generated and evaluated to obtain the mission reliability measures. Performance of the MDD-based method is compared with an existing binary decision diagram (BDD)-based method for MFPMS analysis through several examples and a comprehensive benchmark study. Empirical results show that the proposed MDD-based method can offer lower computational complexity and simpler model construction and evaluation algorithms than the BDD-based method, and it can be effectively applied to large practical cases.