Residual life estimation under time-varying conditions based on a Wiener process

DOI10.1080/00949655.2016.1202953OpenAlexW2468010509MaRDI QIDQ5106771

Jing Feng, Quan Sun, Zhengqiang Pan, Tianyu Liu, Qizi Huangpeng

Publication date: 22 April 2020

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2016.1202953

zbMATH Keywords

simulationWiener processresidual lifeBayesian updatingtime-varying stresses

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (4)

A Bayesian approach to degradation modeling and reliability assessment of rolling element bearing ⋮ A numerical method for system residual life prediction based on Simpson formula ⋮ Optimal step-stress accelerated degradation test plans for inverse Gaussian process based on proportional degradation rate model ⋮ Unbiased parameters estimation and mis-specification analysis of Wiener process-based degradation model with random effects

Cites Work

• Wiener processes with random effects for degradation data
• Modelling accelerated degradation data using Wiener diffusion with a time scale transformation
• A survey of maintenance policies of deteriorating systems
• A degradation path-dependent approach for remaining useful life estimation with an exact and closed-form solution
• Residual life estimation based on bivariate Wiener degradation process with time-scale transformations
• Residual life estimation based on nonlinear-multivariate Wiener processes

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