用近似解析法求解正态随机变量、线性安全边界方程情况下可靠度的置信区间

USING APPROXIMATE ANALYTIC METHOD TO SOLVE THE CONFIDENCE BELT OF RELIABILITY OF LINEAR SAFETY MARGIN EQUATION WITH RANDOM VARIABLES OF THE NORMAL DISTRIBUTION

阐明了求可靠度置信区的重大意义，提出５种近似解析法，以求解正态随机变量、线性安全边界方程情况下可靠度的置信区间；对这些方法阐明其各自的适用条件、计算精度，并作综合比较。文内附有算例以作辅助说明及与实验数据直接得出的结果作对比，对单随机变量情况也作了简要阐明。

In this paper,the significance for solving the confidence belt of reliability is explained.The five approximate analytic methods for solving the confidence belt of reliability of linear safety margin eguation with random variables of the normal distribution are presented.The applicable condition and accuracy of these methods are given.Two examples are used to illustrative the usage of these methods and to obtain the comparison between the computational results with the experimental results.The brief explanation is given for the case of only one random variable.