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首页> 外文期刊>Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability >Assessment of large automatically generated fault trees by means of binary decision diagrams
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Assessment of large automatically generated fault trees by means of binary decision diagrams

机译:通过二进制决策图评估大型自动生成的故障树

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摘要

Dassault Aviation have developed a reliability workbench based on the high-level formal description language AltaRica. The workbench includes a compiler of AltaRica models into fault trees. The fault trees generated for the largest industrial systems involve up to a thousand basic events and several dozen thousand gates; moreover, they are non-coherent. The assessment of such large formulae is challenging, even for binary decision diagrams, the state-of-the-art data structure to encode and to manipulate Boolean functions. This article describes the various heuristics and strategies that were used to make the assessment tractable.
机译:达索航空已经开发了基于高级形式描述语言AltaRica的可靠性工作台。工作台包括将AltaRica模型编译为故障树的工具。为最大的工业系统生成的故障树涉及多达一千个基本事件和数十万个门。而且,它们是不连贯的。即使对于二进制决策图来说,对如此大的公式进行评估也是具有挑战性的,它是用于编码和操作布尔函数的最新数据结构。本文介绍了使评估易于处理的各种启发式方法和策略。

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