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故障树生成是进行故障树分析的前提条件。传统的手工建树方法费时费力且极易出错,使计算机辅助建立故障树成为系统安全工程领域的研究热点。本文利用决策表方法,结合关系数据库和可视化开发工具,研发出一个故障树自动生成信息系统。在该系统中,将对象系统按元件分解,建立各元件的输入输出因果模型并转化为决策矩阵,利用算法对决策矩阵进行搜索,实现故障树的自动生成。该故障树自动生成系统的可行性和有效性通过在实践中的成功应用得到验证。
Fault tree generation is a prerequisite for fault tree analysis. The traditional manual tree-building method is time-consuming and error-prone, making computer-aided fault tree establishment a hot research topic in the field of system security engineering. In this paper, a decision tree method, combined with the relational database and visual development tools, developed a fault tree automatically generated information system. In this system, the object system is decomposed according to components, and the input and output causal model of each component is established and transformed into a decision matrix. The algorithm is used to search the decision matrix to realize the automatic generation of fault tree. The feasibility and effectiveness of this fault tree automatic generation system is verified through successful application in practice.