摘要
为解决空间故障树(SFT),特别是离散型SFT(DSFT)的结果无法表示原始离散故障数据分布特征的缺点,引入模糊结构元理论将SFT中概念及计算方式结构元化来解决该问题。首先模糊结构元特征函数可通过模糊结构元E表示原始数据的离散分布特征,并在计算过程中将E传递至最终结果,并通过处理结果中E来得到分析结果的置信度。模糊结构元特征函数可将DSFT问题转换为较成熟的CSFT进行处理,而不用为实现相同功能针对DSFT研究新的方法。完成了原有SFT中特征函数、基本事件发生概率分布、系统故障概率分布、概率重要度分布、关键重要度分布、系统故障概率分布趋势、因素重要度分布和因素联合重要度分布的模糊结构元化改造,并给出了结构元化后的计算方式,并举例说明了应用方法。
In order to solve the SFT（ space fault tree） results, especially the DSFT, can not represent the original discrete data distribution characteristics, this paper introduced the fuzzy structured element theory in the SFT to calculate to solve the problem. Firstly the fuzzy structured element characteristic function could express the discrete distribution characteristics of the original data with the fuzzy structured element E. In the calculation process the E would be transferred to the final result. It obtained the confidence by analysis E in the results. Fuzzy structured element characteristic function could transform DSFT problem into a more mature CSFT to process, without regarding new method of DSFT for the same function of CSFT. This paper completed the transformation of the original sFr concept, includes characteristic function, basic event occurrence probability distribution function, system failure probability distribution, probability importance degree distribution, critical degree distri- bution, system failure probability distribution trend, the factor important degree distribution and factor joint important degree distribution. It gave the calculation methods of structural element, and gave an example to illustrate the application of the method.
出处
《计算机应用研究》
CSCD
北大核心
2016年第7期1957-1960,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(61350003)
