基于卡尔曼算法的回归信度模型研究

Study on Regression Credibility Model Based on Calman Algorithm

主要研究在卡尔曼算法下的回归信度模型的信度估计问题,即将卡尔曼算法运用到回归信度模型中,得出了回归信度模型推导的另一种方法。由结果可知:用卡尔曼算法推导出的递推公式与用贝叶斯方法推出的结果一致,但用卡尔曼算法更直接、更简单,从而推广了经典的信度理论。

This paper mainly studied the problem of estimating the reliability of regression credibility model based on the Calman algorithm,and Calman algorithm was applied to the regression credibility model,and another method for deriving regression credibility model was obtained. The result shows that the result is consistent with the result obtained by using Bayesian method and calman algorithm.But using the Calman algorithm,we can directly derive reliability model. The method is simple and convenient,which generalizes the classical reliability theory.