Remaining useful life estimation based on Wiener degradation processes with random failure threshold

2016 ◽  
Vol 23 (9) ◽  
pp. 2230-2241 ◽  
Author(s):  
Sheng-jin Tang ◽  
Chuan-qiang Yu ◽  
Yong-bao Feng ◽  
Jian Xie ◽  
Qin-he Gao ◽  
...  
Keyword(s):  
Remaining Useful Life ◽  
Life Estimation ◽  
Degradation Processes ◽  
Random Failure ◽  
Useful Life ◽  
Random Failure Threshold

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

scholarly journals Methods for predicting the remaining useful life of equipment in consideration of the random failure threshold

2020 ◽  
Vol 31 (2) ◽  
pp. 415-431 ◽  
Author(s):  
Zezhou Wang ◽  
Yunxiang Chen ◽  
Zhongyi Cai ◽  
Yangjun Gao ◽  
Lili Wang
Keyword(s):  
Remaining Useful Life ◽  
Random Failure ◽  
Useful Life ◽  
Random Failure Threshold

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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