摘要
为了克服原有SFT体系中径集域和割集域处理具有模糊性、随机性和离散性故障数据能力不足的问题,使用云模型和SFT相结合的方法来解决该问题。首先使用云模型云化SFT特征函数,得到云化特征函数,进而云化径集域和割集域,最终得到云化径集域和云化割集域。云化径集域和云化割集域没有严格的分界线,分布区域是通过云滴表示的。若云滴表示的元件/系统故障概率小于P_b,这些云滴存在的区域即为云化径集域;反之大于P_b的云滴存在的区域为云化割集域。通过实例分析了元件X_1和系统的云化径集域和云化割集域,得到了其适合工作的环境因素变化范围组合。分析过程和结果表明云化径集域和云化割集域能克服原始故障数据的不确定性。
In order to overcome the problem of insufficient ability that the size set domain and cut set domain process the failure data with the discreteness and randomness and fuzzy（uncertainty） in original SFT, this paper used the combined method of cloud model and the SFI＇ to solve the problem. First it used cloud model cloud the SFT characteristic function, got a cloud characteristic function, and finally got the cloud size set domain and the cloud cut set domain. The cloud size set domain and the cloud cut set domain had no strict boundaries, the area distribution was represented by the cloud droplets. If cloud droplets said component/system failure probability represented by the cloud droplets was less than Pb, the area of cloud droplets was cloud size set domain. On the other hand, the probability was greater than Pb, the cloud droplets of area was cloud cut set domain. It analyzed the cloud size set domain and the cloud cut set domain of component X1 and system through the instance, which obtained the suitable factor change range for their work environment. Analysis process and the results show that cloud size set domain and the cloud cut set domain can overcome the uncertainty of the original failure data.
作者
崔铁军
李莎莎
马云东
王来贵
Cui Tiejun Li Shasha Ma Yundong Wang Laigui(College of Safety Science ＆ Engineering . College of Mechanics ＆ Engineering, Liaoning Technical University, Fuxin Liaoning 123000, China Key Laboratory of Mine Thermodynamic Disasters ＆ Control of Ministry of Education, Fuxin Liaoning 123000, China Tunnel ＆ Underground Structure Engineering Center of Liaoning, Dalian Jiaotong University, Dalian Liaoning 116028, China)
出处
《计算机应用研究》
CSCD
北大核心
2016年第12期3582-3585,共4页
Application Research of Computers
基金
国家自然科学基金资助项目(51050003)
辽宁省自然科学基金资助项目(201202022)
关键词
安全系统工程
云模型
空间故障树
径集域和割集域
云化重构
safety system engineering
cloud model
SFT（ space fault tree）
cloud size set domain and cloud cut set domain
cloud reconstruction
