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The Wiener Process as a Degradation Model: Modeling and Parameter Estimation

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Advances in Degradation Modeling

Part of the book series: Statistics for Industry and Technology ((SIT))

Abstract

In this chapter we describe a simple degradation model based on the Wiener process. A failure occurs when the degradation reaches a given level for the first time. In this case, the time to failure is inverse Gaussian distributed. The parameters of the lifetime distribution can be estimated from observation of degradation only, from observation of failures, or from observation of both degradation increments and failure times. In the chapter, statistical methods for estimating the parameters of degradation processes for different data structures are developed and compared.

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Kahle, W., Lehmann, A. (2010). The Wiener Process as a Degradation Model: Modeling and Parameter Estimation. In: Nikulin, M., Limnios, N., Balakrishnan, N., Kahle, W., Huber-Carol, C. (eds) Advances in Degradation Modeling. Statistics for Industry and Technology. Birkhäuser Boston. https://doi.org/10.1007/978-0-8176-4924-1_9

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