A Study of Online Inspection for Multi-level Prognostics
| Affiliation auteurs | !!!! Error affiliation !!!! |
| Titre | A Study of Online Inspection for Multi-level Prognostics |
| Type de publication | Journal Article |
| Year of Publication | 2017 |
| Auteurs | Zhang D., Cadet C., Yousfi-Steiner N., Berenguer C. |
| Journal | IFAC PAPERSONLINE |
| Volume | 50 |
| Pagination | 13716-13721 |
| Type of Article | Proceedings Paper |
| ISSN | 2405-8963 |
| Mots-clés | Multi-level prognostics, online inspection, Particle Filtering (PF), Prognostics and Health Management (PHM), Remaining Useful Life (RUL) |
| Résumé | A system's degradation behavior is often correlated with internal and external covariates which are usually difficult to access owing to expensive measurement cost. This paper presents a Particle Filtering based multi-level prognostics approach to predict the Remaining Useful Life of a system based on its State of Health degradation estimation with online inspections of covariates. A degrading system is simulated with covariates at different level. By investigating the covariate online, the degradation estimation shows a better prediction and lower cost than the estimation without inspection. (C) 2017, IFAC (International Federation of Automatic Control) Hosting by Elsevier Ltd. All rights reserved. |
| DOI | 10.1016/j.ifacol.2017.08.2549 |