114年第1學期-6190 增量衰退量模型專題(一) 課程資訊

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期末報告 100

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授課教師

俞一唐

教育目標

藉由討論期刊論文,學習最新有關衰退量分析方面的統計方法。

課程概述

A common method for modeling degradation processes involves the use of stochastic processes. The literature highlights several widely adopted models, including the Wiener process, gamma process, and inverse Gaussian process. Increment degradation models can be seen as extensions of these stochastic process-based models, achieved by relaxing the additive property. Increment degradation models are purely empirical in nature. This opens up opportunities to explore alternative distributions for modeling increments, allowing for a more flexible representation of degradation behavior. This course addresses the challenges that arise from the absence of the additive property, particularly in constructing likelihood functions and predicting lifetime distributions.

課程資訊

參考書目

selected papers

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