基于Markov和SFT的同类元件系统中元件维修率分布确定

发布时间：2018-05-10 10:38

本文选题：安全系统工程 + 空间故障树　；参考：《计算机应用研究》2017年11期

【摘要】：为了扩展空间故障树SFT理论,研究可表示工作环境影响的元件维修率,借助Markov链理论对元件维修率分布进行推导。所研究系统的特点为由相同元件所构成,进而使Markov链中失效率和维修率相同。用SFT中的特征函数代替Markov链中失效率,并根据实际情况设定状态转移概率,从而可得SFT下的元件维修率分布。维修率分布是由工作环境因素作为自变量的函数,考虑工作时间t和工作温度c影响下,对一混联系统进行元件维修率分布计算。最终得到了元件维修率分布和正常状态转移概率范围,其具体计算要依赖于实例系统结构。最后论述了方法的不足及其原因。
[Abstract]:In order to extend the SFT theory of spatial fault tree, the maintenance rate of components which can express the influence of working environment is studied, and the distribution of component maintenance rate is deduced by Markov chain theory. The system is composed of the same components, which makes the failure rate and maintenance rate of Markov chain the same. The characteristic function of SFT is used to replace the failure rate in Markov chain, and the state transition probability is set according to the actual situation, so the component maintenance rate distribution under SFT can be obtained. Maintenance rate distribution is a function of working environment as independent variable. Considering the influence of working time t and working temperature c, the component maintenance rate distribution of a hybrid system is calculated. Finally, the distribution of component maintenance rate and the probability range of normal state transition are obtained, and the calculation depends on the system structure. At last, the deficiency of the method and its reasons are discussed.
【作者单位】：辽宁工程技术大学安全科学与工程学院;大连交通大学辽宁省隧道与地下结构工程技术研究中心;辽宁工程技术大学力学与工程学院;
【基金】：国家自然科学基金资助项目(51674127,51274110,51474121)
【分类号】：O213

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