The e-m@pronostic module aims to develop the prognosis of progressive failure. This module is based on a neuro-fuzzy temporal evolution. Two main features emerge for this module:

• Prediction: it will teach the online behavior of equipment and to predict changes over time. At this level, the system can quantify the prediction error made.
• Rating : it also allows the construction of indicators relevant decision in light of concerns optimization of maintenance policies. These indicators are reliability and operational forecasting system, the MTTF and Usefull Remaining Life.