scholarly journals Remaining useful life estimation for deteriorating systems with time-varying operational conditions and condition-specific failure zones

2016 ◽  
Vol 29 (3) ◽  
pp. 662-674 ◽  
Author(s):  
Qi Li ◽  
Zhanbao Gao ◽  
Diyin Tang ◽  
Baoan Li
Keyword(s):  
Remaining Useful Life ◽  
Time Varying ◽  
Operational Conditions ◽  
Life Estimation ◽  
Useful Life ◽  
Deteriorating Systems

Remaining Useful Life Estimation for Systems with Time-varying Mean and Variance of Degradation Processes

2014 ◽  
Vol 30 (6) ◽  
pp. 829-841 ◽  
Author(s):  
Jian-xun Zhang ◽  
Chang-hua Hu ◽  
Xiao-sheng Si ◽  
Zhi-jie Zhou ◽  
Dang-bo Du
Keyword(s):  
Remaining Useful Life ◽  
Time Varying ◽  
Life Estimation ◽  
Degradation Processes ◽  
Mean And Variance ◽  
Useful Life

Remaining useful life estimation: a review on stochastic process-based approaches

2020 ◽  
Vol 14 ◽  
Author(s):  
Dangbo Du ◽  
Jianxun Zhang ◽  
Xiaosheng Si ◽  
Changhua Hu
Keyword(s):  
Stochastic Process ◽  
Health Management ◽  
Remaining Useful Life ◽  
Future Trends ◽  
Prognostics And Health Management ◽  
Inverse Gaussian ◽  
Life Estimation ◽  
Inverse Gaussian Process ◽  
Pros And Cons ◽  
Useful Life

Background: Remaining useful life (RUL) estimation is the central mission to the complex systems’ prognostics and health management. During last decades, numbers of developments and applications of the RUL estimation have proliferated. Objective: As one of the most popular approaches, stochastic process-based approach has been widely used for characterizing the degradation trajectories and estimating RULs. This paper aimed at reviewing the latest methods and patents on this topic. Methods: The review is concentrated on four common stochastic processes for degradation modelling and RUL estimation, i.e., Gamma process, Wiener process, inverse Gaussian process and Markov chain. Results: After a briefly review of these four models, we pointed out the pros and cons of them, as well as the improvement direction of each method. Conclusion: For better implementation, the applications of these four approaches on maintenance and decision-making are systematically introduced. Finally, the possible future trends are concluded tentatively.

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