Linear independent increment process with linear standard deviation function for degradation analysis

Zhihua Wang, H. Fu, Yongbo Zhang
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引用次数: 1

Abstract

Degradation test is a feasible means to assess the failure time distributions of complex systems and highly reliable products. Generally speaking, the degradation process is essentially a continuous state random process. Motivated by the independent increment process theory, we propose a degradation analysis model, in which degradation is represented by an independent increment process with linear mean and standard deviation functions (quadratic variance function). A one-stage method is further developed to estimate the model parameters and failure time distribution. The methodology has been implemented in the analysis of GaAs laser degradation. The comparative results illustrate that the proposed method can be considered good and show a promise for future applications.
具有线性标准差函数的线性独立增量过程用于退化分析
退化试验是评估复杂系统和高可靠性产品失效时间分布的一种可行手段。一般来说,退化过程本质上是一个连续状态随机过程。在独立增量过程理论的启发下,提出了一种退化分析模型,该模型将退化描述为具有线性均值和标准差函数(二次方差函数)的独立增量过程。进一步提出了一种单阶段估计模型参数和失效时间分布的方法。该方法已应用于砷化镓激光退化分析中。对比结果表明,该方法具有较好的应用前景。
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