为解决具有时序相关、功能依赖、多态性、部件数量多等特点的IMA平台在可靠性分析中的困难, 提出了一种离散事件演化树仿真分析方法, 通过将IMA平台运行过程中的随机故障事件建立成离散故障事件序列,从而驱动系统状态的不断演化, 利用故障事件演化树分析离散故障事件对系统状态的影响, 通过建立系统多状态集合和大样本观测评估IMA平台在不同时刻处于各个系统状态的概率。该离散事件演化树仿真分析方法可实现IMA平台可靠性多态定量分析, 为设计提供理论数据依据。

The IMA platform has such characteristics as time correlation, function dependence, multiple states and numerous parts. To solve the difficulty of the IMA platform in reliability analysis, a method for Discrete Event Evolution Tree (DEET) simulation analysis was proposed.In the running process of the IMA platform, the random failure event was transformed into a discrete failure event sequence, so as to drive the constant evolution of the system state. The evolution tree of the failure event was used to analyze the impact of the discrete failure event on the system state. Then, the multi-state sets and large sample observation were set up to evaluate the probability of the IMA platform being in different states at different time. The DEET method can quantitatively analyze the multi-state reliability of the IMA platform and serve as a theoretical data basis for further design.