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Phased mission modelling of systems with maintenance-free operating periods using simulated Petri nets

机译:使用模拟Petri网对具有免维护运行期的系统进行阶段性任务建模

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A common scenario in engineering is that of a system which operates throughout several sequential and distinct periods of time, during which the modes and consequences of failure differ from one another. This type of operation is known as a phased mission, and for the mission to be a success the system must successfully operate throughout all of the phases. Examples include a rocket launch and an aeroplane flight. Component or sub-system failures may occur at any time during the mission, yet not affect the system performance until the phase in which their condition is critical. This may mean that the transition from one phase to the next is a critical event that leads to phase and mission failure, with the root cause being a component failure in a previous phase. A series of phased missions with no maintenance may be considered as a maintenance-free operating period (MFOP). This paper describes the use of a Petri net (PN) to model the reliability of the MFOP and phased missions scenario. The model uses Monte-Carlo simulation to obtain its results, and due to the modelling power of PNs, can consider complexities such as component failure rate interdependencies and mission abandonment. The model operates three different types of PN which interact to provide the overall system reliability modelling. The model is demonstrated and validated by considering two simple examples that can be solved analytically.
机译:工程中的一种常见情况是一种系统,该系统在多个连续且不同的时间段内运行,在此期间,故障的模式和后果互不相同。这种操作称为分阶段任务,要使任务成功,系统必须在所有阶段中都成功运行。例子包括火箭发射和飞机飞行。组件或子系统故障可能会在任务执行期间的任何时间发生,但直到其状况严重的阶段才影响系统性能。这可能意味着从一个阶段到下一个阶段的过渡是导致阶段和任务失败的关键事件,根本原因是上一个阶段的组件故障。一系列不需维护的分阶段任务可被视为免维护运行期(MFOP)。本文介绍了使用Petri网(PN)对MFOP和分阶段任务方案的可靠性进行建模的方法。该模型使用Monte-Carlo仿真获得其结果,并且由于PN的建模能力,可以考虑复杂性,例如组件故障率的相互依赖性和任务的放弃。该模型运行三种不同类型的PN,它们相互影响以提供整体系统可靠性建模。通过考虑两个可以解析解决的简单示例来演示和验证该模型。

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