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Development of an algorithm for automated cause-consequence diagram construction

机译:自动化因果图构造算法的开发

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Cause-consequence analysis is one of the best tools available for a comprehensive reliability study. The Cause-Consequence Diagram (CCD) method, like fault tree analysis, represents the failure logic of the system, but in addition the CCD also identifies the complete set of consequences following a given initiating event. Despite the clear appeal of this approach to engineers the CCD method has its drawbacks. If the diagram construction and its analysis could be automated it would increase the usefulness of the method. This paper describes the development of an algorithm for automated CCD construction. The algorithm builds on methods developed previously for fault tree construction, such as topology diagrams, component decision tables, etc. Once constructed, the diagram can be quantified to give exact system reliability. To demonstrate the feasibility of the approach the algorithm is applied to a simple example.
机译:因果分析是进行全面可靠性研究的最佳工具之一。原因-结果图(CCD)方法类似于故障树分析,代表了系统的故障逻辑,但除此之外,CCD还可以识别给定启动事件后的完整后果集。尽管这种方法对工程师有明显吸引力,但CCD方法有其缺点。如果该图的构建及其分析可以自动化,则将增加该方法的实用性。本文介绍了自动CCD构造算法的开发。该算法建立在先前为故障树构建而开发的方法(例如拓扑图,组件决策表等)的基础上。一旦构建,就可以量化该图以提供精确的系统可靠性。为了证明该方法的可行性,将该算法应用于一个简单示例。

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