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- W2393333572 abstract "The product performance degradation evolution and related reliability characters is the basis of maintenance decision.The Gamma process degradation model is widely applied to performance degradation modeling and maintenance optimization.However,the effect of measurement error on model estimation is considered by little researchers.Since the observation is often affected by measurement uncertainty,this uncertainty can lead to a biased assessment of the degradation process,if it is not properly taken into account in the construction of the stochastic degradation process.Therefore,a statistical method based on EM algorithm is presented to overcome this difficulty by using the available knowledge on measurement uncertainty.The significance of the proposed method is illustrated through a simulated study.Additional,the proposed statistical method can be applied to several other types of stochastic processes degradation model." @default.
- W2393333572 created "2016-06-24" @default.
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- W2393333572 date "2010-01-01" @default.
- W2393333572 modified "2023-09-26" @default.
- W2393333572 title "Simulation Study on the Effect of Measurement Error on Estimation of Gamma Process Degradation Model" @default.
- W2393333572 hasPublicationYear "2010" @default.
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