Reliability assessment of multi-state phased mission system with non-repairable multi-state components

Reliability assessment of multi-state phased mission system with non-repairable multi-state components
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具有不可修复多状态组件的多状态分阶段任务系统的可靠性评估

DOI:
10.1016/j.apm.2018.04.008
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发表时间:
2018-09
影响因子:
5
通讯作者:
Zio Enrico
Zio Enrico
中科院分区:
工程技术2区
文献类型:
--
作者:
Li Xiang-Yu;Huang Hong-Zhong;Li Yan-Feng;Zio Enrico

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卫星和航天器等分阶段任务系统 (PMS) 在不重叠的任务周期(称为阶段)内执行其功能。评估 PMS 可靠性的挑战之一来自于考虑阶段之间的依赖关系,而对组件和系统的多状态行为的考虑使得可靠性分析变得更加困难。为了有效解决这一问题,针对不可修复多状态部件的可靠性建模,提出了PMS多状态多值决策图算法和分阶段任务系统多状态多值决策图模型(PMS-MMDD)方法。基于半马尔可夫过程,提出了一种基于马尔可夫更新方程的方法来处理非指数多状态分量,并使用数值方法梯形积分法来计算路径概率评估中的复积分。通过对航天器多状态姿态轨道控制系统的案例分析,说明了所提出的 PMS-MMDD 模型和基于马尔可夫更新方程的评估方法。通过蒙特卡洛模拟方法验证了该方法的准确性和计算效率。
Phased mission systems (PMSs) like satellites and spacecraft perform their functions over non-overlapping mission periods, called phases. One of the challenges in assessing reliability of PMSs comes from considering thes-dependence among phases, and the consideration on the multi-state behavior of components and systems makes the reliability analysis even more difficult. To effectively address this problem, a multi-state multivalued decision diagram algorithm for PMS and a multi-state multi-valued decision diagram model for phased mission system (PMS-MMDD) method is developed for the reliability modelling of non-repairable multi-state components. Based on the Semi-Markov process, a Markov renewal equation-based method is developed to deal with non-exponential multi-state components and a numerical method, the trapezoidal integration method, is used to compute the complex integrals in the path probability evaluation. A case study of a multi-state attitude and orbit control system in a spacecraft is analyzed to illustrate the proposed PMS-MMDD model and the Markov renewal equation-based evaluation method. The accuracy and computation efficiency of the proposed method are verified by the Monte Carlo simulation method.
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