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SFT中云模型代替特征函数的可行性分析与应用

崔铁军,李莎莎,马云东,王来贵   

  1. 辽宁工程技术大学
  • 收稿日期:2016-05-09 修回日期:2016-06-22 发布日期:2016-06-22
  • 通讯作者: 崔铁军

Feasibility analysis and application of cloud model instead of characteristic function in SFT

  • Received:2016-05-09 Revised:2016-06-22 Online:2016-06-22

摘要: 为了扩展空间故障树(Space Fault Tree,SFT)理论框架,改变作为框架基础的特征函数构造和计算繁琐问题,使用云模型构造特征函数,形成云化特征函数,进而为云化SFT提供基础。分析了现有特征函数构造过程的缺点,论述了使用云模型构造特征函数的可行性。构建的基本步骤为:首先将根据某因素得到的元件可靠性数据带入逆向云模型发生器,得到特征参数,然后带入正向云模型发生器解析式,最终将该解析式被1减作为元件对于该因素的云化特征函数。使用云化后的特征函数构建了云化元件故障概率分布和云化系统故障概率分布。对所给实例使用上述云化概念进行了计算,表明其结果继承了云模型的特点,同时适用于SFT分析。

关键词: 安全系统工程, 空间故障树, 云模型, 云化特征函数

Abstract: In order to expand the theoretical framework of space fault tree, and solve the complex problem of construction and calculation the characteristic function as the basis of the framework, the cloud model is used to construct the characteristic function, and form the cloud characteristic function, and then provide the basis for the cloud SFT. This paper analyzes the shortcomings of the existing characteristic function, and discusses the feasibility of using the cloud model to construct the feature function. The basic steps are: firstly, the component reliability data considering a factor is input into the reverse cloud model generator, and then the characteristic parameters are obtained. Secondly, the parameters are brought the analytic formula of positive model. Finally, the analytic formula is reduced of 1 as the cloud characteristic function of the factor. The cloud component failure probability distribution and cloud system failure probability distribution are constructed by using the cloud characteristic function. The cloud concepts based on the given example are calculated, which indicates that the results are inherited from the characteristics of the cloud model, and it is suitable for SFT analysis.

Key words: Safety system engineering, space fault tree, cloud model, cloud characteristic function