A life distribution parameter estimation method for normal unit

The invention relates to a life distribution parameter estimation method of a normal unit. At first, that method generates n groups of candidate distribution parameter according to the service life data of the normal cell, Then the likelihood is initialized, and the likelihood is updated sequentially according to the number of intact cells and the number of fault cells obtained by k times of inspection results, and the maximum likelihood is found in the updated likelihood, then the mean value and root variance parameter of the normal distribution corresponding to the maximum likelihood are theestimation results. The parameter estimation results of this method can follow the parameter estimation results of the mature theoretical methods in general, and the estimation accuracy can meet theengineering requirements. 本发明涉及种正态型单元的寿命分布参数估计方法，该方法首先根据正态型单元使用寿命数据生成n组候选分布参数，然后初始化似然度，再根据k次检查结果获取的完好单元的数量以及故障单元的数量依次更新似然度，在更新后的似然度中找到最大似然度，则最大似然度对应的正态分布均值参数和根方差参数即为估计结果。本方法的参数估计结果在总体上能"跟随"理论成熟方法的参数估计结果，其估计精度能满足工程要求。