Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
805690 | Reliability Engineering & System Safety | 2013 | 11 Pages |
Abstract
Prognostic of system lifetime is a basic requirement for condition-based maintenance in many application domains where safety, reliability, and availability are considered of first importance. This paper presents a probabilistic method for prognostic applied to the 2008 PHM Conference Challenge data. A stochastic process (Wiener process) combined with a data analysis method (Principal Component Analysis) is proposed to model the deterioration of the components and to estimate the RUL on a case study. The advantages of our probabilistic approach are pointed out and a comparison with existing results on the same data is made.
Related Topics
Physical Sciences and Engineering
Engineering
Mechanical Engineering
Authors
Khanh Le Son, Mitra Fouladirad, Anne Barros, Eric Levrat, BenoƮt Iung,