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A Conceptual Framework to Incorporate Complex Basic Events in HiP-HOPS

机译:在HiP-HOPS中纳入复杂基本事件的概念框架

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Reliability evaluation for ensuring the uninterrupted system operation is an integral part of dependable system development. Model-based safety analysis (MBSA) techniques such as Hierarchically Performed Hazard Origin and Propagation Studies (HiP-HOPS) have made the reliability analysis process less expensive in terms of effort and time required. HiP-HOPS uses an analytical modelling approach for Fault tree analysis to automate the reliability analysis process, where each system component is associated with its failure rate or failure probability. However, such non-state-space analysis models are not capable of modelling more complex failure behaviour of component like failure/repair dependencies, e.g., spares, shared repair, imperfect coverage, etc. State-space based paradigms like Markov chain can model complex failure behaviour, but their use can lead to state-space explosion, thus undermining the overall analysis capacity. Therefore, to maintain the benefits of MBSA while not compromising on modelling capability, in this paper, we propose a conceptual framework to incorporate complex basic events in HiP-HOPS. The idea is demonstrated via an illustrative example.
机译:确保系统不间断运行的可靠性评估是可靠的系统开发不可或缺的一部分。基于模型的安全分析(MBSA)技术(例如,分层执行的危险源和传播研究(HiP-HOPS))使可靠性分析过程的成本和工作时间降低了。 HiP-HOPS使用分析建模方法进行故障树分析,以使可靠性分析过程自动化,其中每个系统组件均与其故障率或故障概率相关联。但是,这样的非状态空间分析模型无法对组件的更复杂的故障行为进行建模,例如故障/修理相关性,例如备件,共享维修,不完善的覆盖等。基于状态空间的范式(如马尔可夫链)可以对复杂的模型进行建模。故障行为,但是它们的使用会导致状态空间爆炸,从而破坏总体分析能力。因此,为了在不损害建模能力的前提下保持MBSA的优势,在本文中,我们提出了一个概念框架,将复杂的基本事件合并到HiP-HOPS中。通过一个说明性的例子演示了这个想法。

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