Predictive maintenance : no more machines failures

Spare parts lifespan can be prolonged and the stocks quantity reduced through a failure prediction that cuts operating costs. It relies on the deviations modelling of key physical behaviours in the Studio.

The machine can detect these alone in real-time. The suitable action is then suggested to the workforce on the defective spare part. Operators on the shop floor are notified through the Share early enough to avoid production stoppages.

Create powerful predictive analytics
and increase the mean time to failure of machines


Complex deviation detection


Notifications directly to shop floor for action


Proactive maintenance operations accomplished

Key Figures


filling valves connected


increase of overall production efficiency


reduction of spare parts purchases

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