基于云模型的变因素影响下系统可靠性模糊评价方法

发布时间：2018-05-05 18:46

本文选题：安全工程 + 系统可靠性评价　；参考：《中国安全科学学报》2016年02期

【摘要】：为了解系统工作环境因素变化导致系统元件失效的可能性,进而确定系统故障变化情况,建立基于云模型的系统可靠性模糊综合评价方法。通过将不同状态下得到的多个综合评价矩阵中云模型对应位置的特征参数作为因变量,不同状态的影响因素值作为自变量进行拟合。用拟合后的函数代替云模型特征参数,该云模型参数矩阵与权重云参数矩阵的乘积即为最终的评价结果云模型。结果云模型是带有因素自变量的函数,能统一地表示多个云模型,并能得到连续的过渡状态云模型。应用上述方法分析某实例系统。结果表明:最终形成的结果云模型各特征参数是带有表示温度自变量X的函数,与实际相符。
[Abstract]:In order to understand the possibility of failure of system components caused by the variation of system working environment factors and to determine the variation of system faults, a fuzzy comprehensive evaluation method of system reliability based on cloud model was established. The characteristic parameters of cloud model's corresponding position are taken as dependent variables and the values of influence factors of different states are fitted as independent variables in multiple synthetic evaluation matrices under different states. The characteristic parameters of the cloud model are replaced by the fitted function. The product of the cloud model parameter matrix and the weighted cloud parameter matrix is the final evaluation result cloud model. Results the cloud model is a function with independent variables, which can represent multiple cloud models uniformly and obtain continuous transition state cloud models. The above method is used to analyze an example system. The results show that each characteristic parameter of the resulting cloud model is a function with an independent temperature variable X, which is in accordance with the actual situation.
【作者单位】：辽宁工程技术大学安全科学与工程学院;矿山热动力灾害与防治教育部重点实验室;大连交通大学辽宁省隧道与地下结构工程技术研究中心;
【基金】：国家自然科学基金资助(51050003) 辽宁省自然科学基金资助(201202022)
【分类号】：X913.4

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