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首页> 外文期刊>IEEE Transactions on Reliability >Parameter Estimation Using EM Algorithm For Lifetimes From Step-Stress and Constant-Stress Accelerated Life Tests With Interval Monitoring
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Parameter Estimation Using EM Algorithm For Lifetimes From Step-Stress and Constant-Stress Accelerated Life Tests With Interval Monitoring

机译：使用间隔监测的阶梯应力和恒定应力加速寿命测试使用EM算法的参数估计

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摘要

Stochastic information about the reliability parameters of a test unit can be rapidly obtained via accelerated life tests by running the tests at higher stress levels than normal operating conditions. Using a regression model, the reliability parameter at the normal design stress can be estimated via extrapolation. Recently, the design optimization of accelerated life tests has been investigated by many researchers but the associated inference for the regression parameters has not been. In this article, the Expectation-maximization algorithm is used to determine the maximum likelihood estimates of the regression parameters for time constrained exponential failure data from the step-stress and constant-stress accelerated life tests with interval monitoring. It is demonstrated that the method is feasible as well as easy to implement. Using the principle of missing information, the asymptotic variances and covariances of the maximum likelihood estimates are also calculated. The proposed method is illustrated using a real engineering case study.
机译：关于测试单元的可靠性参数的随机信息可以通过在比正常操作条件下的较高应力水平下运行测试来快速获得测试单元的可靠性参数。使用回归模型，可以通过外推估计正常设计应力的可靠性参数。最近，许多研究人员研究了加速寿命测试的设计优化，但是对回归参数的相关推论没有。在本文中，期望最大化算法用于确定时间限制的回归参数的最大似然估计来自具有间隔监测的阶梯应力和恒定应力加速寿命测试的时间约束的指数故障数据的最大似然估计。证明该方法是可行的，也可以易于实现。使用缺失信息原理，还计算了最大似然估计的渐近差异和协方差。使用真正的工程案例研究说明所提出的方法。

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