Keynote speech: Risk-based Prognostics and Health Management: Probabilistic methods for continuous-time hazard analysis and risk mitigation

2017 ◽  
Author(s):  
John W. Sheppard
Keyword(s):  
Continuous Time ◽  
Health Management ◽  
Risk Mitigation ◽  
Hazard Analysis ◽  
Probabilistic Methods ◽  
Prognostics And Health Management ◽  
Keynote Speech

Reliability risk mitigation of free air cooling through prognostics and health management

2013 ◽  
Vol 111 ◽  
pp. 104-112 ◽  
Author(s):  
Jun Dai ◽  
Diganta Das ◽  
Michael Ohadi ◽  
Michael Pecht
Keyword(s):  
Health Management ◽  
Risk Mitigation ◽  
Air Cooling ◽  
Prognostics And Health Management ◽  
Free Air

A Review on Prognostics and Health Management : 2013~2018

2019 ◽  
Vol 19 (1) ◽  
pp. 68-84 ◽  
Author(s):  
Hyun Su Sim ◽  
Jun-Gyu Kang ◽  
Yong Soo Kim
Keyword(s):  
Health Management ◽  
Prognostics And Health Management

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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