PRONOSTIC

Real-time forecast of critical system failure in ships

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)

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