为解决弹载机电产品贮存环境试验最小试验样本量确定的问题, 提出一套适合工程应用的设计方法。针对自然贮存试验的统计数据, 首先采用基于保序回归的倒挂数据处理方法(PAVA算法)进行数据预处理, 然后采用基于极小卡方估计和拟合优度检验相结合的贮存可靠性评估方法建立寿命分布模型。最后针对所得模型, 提出以估计量的相对偏差作为精度指标, 计算在一定精度指标和置信水平下最小样本数量。结果表明, 该方法可以得到符合条件的最小样本量, 满足工程应用。

A method suitable for engineering application is presented to determine the minimum sample size of missile-borne electromechanical products in storage environmental test.Firstly, PAVA, a method for processing “reversal” data based on isotonic regression, is used for data pre-processing.Then, the lifetime distribution model is established by using the storage reliability evaluation method combining minimum chi-square estimation with goodness-of-fit test.Finally, the relative deviation of estimator is used as the precision index, the minimum sample size under given precision requirement and confidence level is calculated out.A formula indicating the relation among sample size, precision index, confidence level and distribution parameters is derived.The result shows that the minimum sample size is fit for engineering application.