Automatic Generation of RAMS Analyses from Model-based Functional Descriptions using UML State Machines

Christof Kaukewitsch, Henrik Papist, M. Zeller, M. Rothfelder
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引用次数: 4

Abstract

SUMMARY & CONCLUSIONSIn today’s industrial practice, safety, reliability or availability artifacts such as fault trees, Markov models or FMEAs are mainly created manually by experts, often distinctively decoupled from systems engineering activities. Significant efforts, costs and timely requirements are involved to conduct the required analyses. In this paper, we describe a novel integrated model-based approach of systems engineering and dependability analyses. The behavior of system components is specified by UML state machines determining intended/correct and undesired/faulty behavior. Based on this information, our approach automatically generates different dependability analyses in the form of fault trees. Hence, alternative system layouts can easily be evaluated. The same applies for simple variations of the logical input-output relations of logical units such as controllers. We illustrate the feasibility of our approach with the help of simple examples using a prototypical implementation of the presented concepts.
使用UML状态机从基于模型的功能描述中自动生成RAMS分析
在当今的工业实践中,安全性、可靠性或可用性工件,如故障树、马尔可夫模型或fmea,主要由专家手动创建,通常与系统工程活动明显分离。进行所需的分析涉及到大量的工作、成本和及时的需求。在本文中,我们描述了一种新的基于模型的集成系统工程和可靠性分析方法。系统组件的行为由UML状态机指定,确定预期的/正确的和不希望的/错误的行为。基于这些信息,我们的方法以故障树的形式自动生成不同的可靠性分析。因此,可选择的系统布局可以很容易地被评估。这同样适用于逻辑单元(如控制器)的逻辑输入-输出关系的简单变化。我们通过使用所提出概念的原型实现的简单示例来说明我们方法的可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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