Name
Title | ||
|---|---|---|
Investigation of uncertainty treatment capability of model-based and data-driven prognostic methods using simulated data. |
Abstract | ||
|---|---|---|
We look at different prognostic approaches and the way of quantifying confidence in equipment Remaining Useful Life (RUL) prediction. More specifically, we consider: (1) a particle filtering scheme, based on a physics-based model of the degradation process; (2) a bootstrapped ensemble of empirical models trained on a set of degradation observations measured on equipments similar to the one of interest; (3) a bootstrapped ensemble of empirical models trained on a sequence of past degradation observations from the equipment of interest only. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.ress.2012.12.004 | Reliability Engineering & System Safety |
Keywords | DocType | Volume |
Prognostics,Uncertainty,Particle filtering,Bootstrap ensemble,Turbine blade,Creep | Journal | 112 |
ISSN | Citations | PageRank |
0951-8320 | 22 | 1.05 |
References | Authors | |
15 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Piero Baraldi | 1 | 236 | 21.96 |
| Francesca Mangili | 2 | 59 | 3.68 |
| Enrico Zio | 3 | 742 | 57.86 |