Real-time forecast of critical system failure in ships
Statut:
This project of e-maintenance platform, was approved in January 2006, should enable the development of new predictive maintenance technologies for naval systems, thus improving their availability, and reducing costs.
Project leader
Predict
Industrial partner
DCNS
Research partners
LSIS laboratory of Paul Cézanne University (UMR CNRS 6168) and CRAN laboratory of H. Poincaré University in Nancy.
Budget
2 600 KE over 3 years
Project financed by the F.U.I. (interdepartmental fund)
