| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 709566 | IFAC Proceedings Volumes | 2012 | 6 Pages |
Abstract
Data fusion is a cornerstone step for monitoring equipment health state within a prognostics and health management (PHM) vision. It enables gathering complementary information from several data sources in order to build a global view for the situation evolving over time. Herein, an advanced information fusion method for health monitoring is proposed. It is based on the unsupervised approach from Choquet capacities elicitation and aims at evaluating the global health/performance of the monitored system.
Keywords
Related Topics
Physical Sciences and Engineering
Engineering
Computational Mechanics
Authors
B. Abichou, A. Voisin, B. Iung, P. Do Van, N. Kosayyer,