论文部分内容阅读
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。
In order to understand the possibility of the failure of system components due to the change of system working environment factors and then to determine the change of system faults and establish the fuzzy comprehensive evaluation method of system reliability based on cloud model. By taking the characteristic parameters of cloud model corresponding to different comprehensive evaluation matrices obtained from different states as dependent variables and the influencing factors of different states as independent variables, The fitting function is used to replace the characteristic parameters of the cloud model. The product of the cloud model parameter matrix and the weight cloud parameter matrix is the final evaluation result cloud model. Results Cloud model is a function of factor independent variables that can represent multiple cloud models uniformly and obtain a continuous transitional state cloud model. Apply the above method to analyze an example system. The results show that the final results of the cloud model parameters are with a function of temperature X, consistent with the actual.