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DFTSim: A Simulation Tool for Extended Dynamic Fault Trees

机译:DFTsim:扩展动态故障树的仿真工具

摘要

We present DFTSim, a simulation tool for dynamic fault trees (DFT). udThe simulation is carried out by directly sampling the failure distributions attached to the leaves (called basic events) of the tree and propagating the failure times upwards in the tree.ududSampling the distributions of the DFT leaves is however not obvious. To sample from the correct distributions, the analytical expression of the failure distributions of all basic events (BE) must be known. These are indeed known for non-spare BEs; but for spare BEs, they become conditional on the failure of other BEs. Hence, the derivation of the analytical expression of the spares’ failure distributions and their sampling is not a trivial task.ududWe evaluate DFTSim by applying it on an extensive benchmark comprised of seven case studies. We compare its results to two other DFT-based reliability tools (namely Galileo and Coral) that, rather than giving simulation-based estimates, compute exact measures.ududOur simulation-based approach is, in particular for large DFTs, much faster than the existing approaches. In fact, the computation time of the exact solution methods is exponential in the number of DFT leaves, whereas simulation time is linear in the number of leaves. Moreover, DFTSim (and simulation in general) allows to simulate a wide range of distributions and evaluate Markovian as well as non-Markovian models.
机译:我们介绍了DFTSim,这是一种用于动态故障树(DFT)的仿真工具。 ud通过直接采样附着在树的叶子上的故障分布(称为基本事件)并在树中向上传播故障时间来进行模拟。 ud ud对DFT叶子的分布进行采样并不明显。要从正确的分布中采样,必须知道所有基本事件(BE)的失效分布的解析表达式。这些确实以非备用BE闻名。但是对于备用BE,它们以其他BE的失败为条件。因此,推导备件故障分布及其采样的分析表达式并不是一件容易的事。 ud ud我们通过将DFTSim应用于包含七个案例研究的广泛基准中来评估DFTSim。我们将其结果与其他两个基于DFT的可靠性工具(即Galileo和Coral)进行比较,而不是给出基于模拟的估计值,而是计算精确的度量值。 ud ud我们的基于模拟的方法,特别是对于大型DFT,要快得多比现有的方法。实际上,精确求解方法的计算时间与DFT叶数成指数关系,而仿真时间与叶数成线性关系。此外,DFTSim(通常是模拟)可以模拟各种分布并评估马尔可夫模型和非马尔可夫模型。

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