Real-Time Prediction of Critical System Failures in Ships

Projet terminé

Project affiliated to:
Project leader PREDICT
Industrials partners DCNS
Research partners LSIS de l’Université Paul Cézanne (UMR CNRS 6168), CRAN de l’Université H. Poincaré à Nancy.
Budget 3 000 K€
Cofinanceur publics FUI (Single Interministerial Fund)
Year of labeling 2006
Year of co-financing 2006

This e-maintenance platform project, certified in January 2006, should enable the development of new prediction technologies for the maintenance of naval systems, improving availability and reducing maintenance costs.