scholarly journals Lubrication Oil Anti-Wear Property Degradation Modeling and Remaining Useful Life Estimation of the System Under Multiple Changes Operating Environment

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 96775-96786
Author(s):  
Mohamed Samballa Tambadou ◽  
Deng Chao ◽  
Chaoqun Duan
Keyword(s):  
Remaining Useful Life ◽  
Wear Property ◽  
Operating Environment ◽  
Life Estimation ◽  
Degradation Modeling ◽  
Lubrication Oil ◽  
Useful Life

scholarly journals Nonlinear Step-Stress Accelerated Degradation Modeling and Remaining Useful Life Estimation Considering Multiple Sources of Variability

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 124558-124575 ◽  
Author(s):  
Zhenan Pang ◽  
Changhua Hu ◽  
Xiaosheng Si ◽  
Jianxun Zhang ◽  
Dangbo Du ◽  
...  
Keyword(s):  
Remaining Useful Life ◽  
Multiple Sources ◽  
Life Estimation ◽  
Accelerated Degradation ◽  
Degradation Modeling ◽  
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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