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The transformed gamma process for degradation phenomena in presence of unexplained forms of unit-to-unit variability

机译:存在无法解释形式的单位间变异性时的退化现象的变换伽马过程

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摘要

The transformed gamma process is a suitable model for degradation phenomena where damages accumulate gradually over time in a sequence of tiny increments. Attractiveness of the transformed gamma process mainly lies in the fact that it provides a relatively easy way for dealing with phenomena in which the degradation increments over disjoint time intervals are not independent. The transformed gamma process is also a very flexible model. In fact, it is indexed by 2 functions, the age function and the state function, whose mathematical form can be chosen ad hoc for modeling the dependence of the future degradation increment of a unit on its current age and state, respectively. In this paper, the transformed gamma process is adopted to describe the degradation paths of degrading units in the presence of an unexplained form of unit-to-unit variability. The degradation path of each unit is described via a transformed gamma process. Heterogeneity among paths of different units is accounted for by assuming that the scale parameters of the age and state functions vary randomly from unit to unit. Under these assumptions, a quite mathematically tractable model is obtained. The main properties of the proposed model are discussed, and inferential procedures based on the maximum likelihood criterion are implemented. A simple test is presented to check the goodness of fit of the proposed model. Three applicative examples, based on real degradation data, are developed.
机译:变换后的伽玛过程是退化现象的合适模型,在退化现象中,损害随着时间的推移以微小的增量逐渐积累。变换后的伽马过程的吸引力主要在于以下事实:它提供了一种相对简单的方法来处理在不相交的时间间隔内退化增量不是独立的现象。转换后的伽玛过程也是一个非常灵活的模型。实际上,它是由年龄函数和状态函数这两个函数索引的,它们的数学形式可以临时选择,以分别建模单元未来退化增量对其当前年龄和状态的依赖性。在本文中,采用变换的伽玛过程来描述在存在无法解释的单位间可变性形式的情况下降解单位的降解路径。每个单元的降级路径通过转换伽玛过程进行描述。通过假设年龄和状态函数的尺度参数在单位之间随机变化,可以解释不同单位路径之间的异质性。在这些假设下,获得了一个在数学上易于处理的模型。讨论了所提出模型的主要性质,并实现了基于最大似然准则的推理程序。提出了一个简单的测试来检验所提出模型的拟合优度。基于实际降级数据,开发了三个应用示例。

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