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- W2972728917 abstract "The degradation data have been widely applied in reliability analysis and life estimation for deteriorating products. The existing life estimation approaches mainly focus on linear degradation models, and the results under nonlinear degradation models are relatively limited in literature. Additionally, the normal distribution is commonly adopted to represent the unit-to-unit variability in the existing literature, but the assumption can be unsuitable for some practical applications. In this paper, a nonlinear degradation model is presented to estimate the life of deteriorating products. To be specific, a general nonlinear stochastic process with truncated normal distribution is used to characterize the dynamics and nonlinearity of the degradation, and the exact and explicit expressions of the life distribution are derived in terms of the concept of the first hitting time. A numerical example is also provided to demonstrate the applicability of the proposed results." @default.
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- W2972728917 date "2019-06-01" @default.
- W2972728917 modified "2023-09-25" @default.
- W2972728917 title "A New Life Estimation Result Based on a Nonlinear Degradation Model" @default.
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- W2972728917 doi "https://doi.org/10.1109/ccdc.2019.8833102" @default.
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