Journal
PROBABILISTIC ENGINEERING MECHANICS
Volume 32, Issue -, Pages 66-79Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.probengmech.2013.01.003
Keywords
Prognostics; Particle filtering; Bootstrapped ensemble; Turbine blade; Creep
Funding
- Institutt For Energiteknikk (IFE)
Ask authors/readers for more resources
In practical industrial applications, different prognostic approaches can be used depending on the information available for the model development. In this paper, we consider three different cases: (1) a physics-based model of the degradation process is available; (2) a set of degradation observations measured on components similar to the one of interest is available; (3) degradation observations are available only for the component of interest. The objective of the present work is to develop prognostic approaches properly tailored for these three cases and to evaluate them in terms of the assumptions they require, the accuracy of the Remaining Useful Life (RUL) predictions they provide and their ability of providing measures of confidence in the predictions. The first case is effectively handled within a particle filtering (PF) scheme, whereas the second and third cases are addressed by bootstrapped ensembles of empirical models. The main methodological contributions of this work are (i) the proposal of a strategy for selecting the prognostic approach which best suits the information setting, even in presence of mixed information sources; (ii) the development of a bootstrap method able to assess the confidence in the RUL prediction in the third case characterized by the unavailability of any degradation observations until failure. A case study is analyzed, concerning the prediction of the RUL of turbine blades affected by a developing creep. (C) 2013 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available