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Storage reliability evaluation of electronic equipment from accelerated degradation testing

机译:通过加速退化测试评估电子设备的存储可靠性

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It is a challenge to evaluate the storage reliability of product with long lifetime and high reliability. Especially, it is very important for the weapon system such as missile which is in long-term storage and one-off use to research the storage reliability. The electronic equipment of such product is prone to fail over long period of storage time. The reliability of electronic equipment should be evaluated in order to adapt to traits of long-storage and usable at any moment. The accelerated degradation testing is utilized to evaluate the storage reliability of electronic equipment in this paper. First, the accelerated drift Brown motion model is established based on the fact that the accelerated degradation of electronic equipment obeys the rule of accelerated model and stochastic process. Second, the storage reliability evaluation model is generated combined with characteristics that the first passage time of linear drift Brown motion presents the inverse Gaussian distribution. In view of the fact that initial reliability of new product is not nicely 1, this model introduces the concept of initial failure. Then methods of maximum likelihood and least squares are used to estimate model parameters at unequal sampling interval. Finally, engineering application validates the proposed method effective.
机译:评估具有长寿命和高可靠性的产品的存储可靠性是一个挑战。特别地,对于长期储存和一次性使用的武器系统(例如导弹)而言,研究其储存可靠性非常重要。这种产品的电子设备在长时间的存储时间内容易出现故障。应评估电子设备的可靠性,以适应长期存储和随时可用的特性。本文利用加速退化测试来评估电子设备的存储可靠性。首先,基于电子设备的加速退化遵循加速模型和随机过程的规律,建立了加速漂移布朗运动模型。其次,结合线性漂移布朗运动的第一次通过时间呈现反高斯分布的特征,生成了存储可靠性评估模型。鉴于新产品的初始可靠性不佳1,该模型引入了初始故障的概念。然后使用最大似然法和最小二乘法在不相等的采样间隔下估计模型参数。最后,工程应用验证了所提方法的有效性。

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