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论加速可靠性增长试验(Ⅳ)分组数据的数值方法
引用本文:周源泉,朱新伟. 论加速可靠性增长试验(Ⅳ)分组数据的数值方法[J]. 推进技术, 2001, 22(3): 177-182
作者姓名:周源泉  朱新伟
作者单位:1. 北京强度与环境研究所,
2. 中国海鹰机电技术研究院,
摘    要:基于Arrhenius-幂律模型,给出了分析恒定应力加速可靠性增长试验(CSARGT)分组数据的数值方法,它们包括对CSARGT四项基本假定的统计检验,在诸加速应力水平Si下幂律模型参数与MTBF的极大似然估计(MLE)与区间估计,加速方和系数的最佳线性一无偏估计(BLUE),加速系数与正常应力水平S0下折算的MTBF的区间估计,并用数值例说明了这些方法。

关 键 词:可靠性增长试验 加速寿命试验 分组数据 计算 数值方法 飞行器 发动机
文章编号:1001-4055(2001)03-0177-06
修稿时间:2000-05-17

Research on accelerated reliability growth testing (Ⅳ)Numerical methods for grouped data
ZHOU Yuan quan and ZHU Xin wei. Research on accelerated reliability growth testing (Ⅳ)Numerical methods for grouped data[J]. Journal of Propulsion Technology, 2001, 22(3): 177-182
Authors:ZHOU Yuan quan and ZHU Xin wei
Affiliation:ZHOU Yuan quan 1,ZHU Xin wei
Abstract:Based on Arrhenius Power law model, the numerical methods for analysed grouping the data of Constant Stress Accelerated Reliability Growth Testing(CSARGT) were given.They included the statistical tests of four fundamental hypotheses of CSARGT, the Maximum Likelihood Estimation(MLE) and interval estimation of the parameters of the power law model and MTBF at accelerated stress levels S i ,the Best Linear Unbiased Estimation(BLUE) of the coefficient of acceleration equation, the interval estimations of acceleration factor and converted MTBF at normal stress level S o. These methods were illustrated.
Keywords:Reliability growth testing  Acceleration life test  Fault analysis  Grouped data  Numerical method and Procedure  Acceleration factor
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