Monitoring the health status of industrial plants

PROJECT

Accurate machinery monitoring, diagnostics and prognostics allow to predict and prevent failures and performance degradation of industrial plants and individual components.

 

Flair-tech has supported SINTechnology and University of Florence to develop PROGNOSIS, a customizable hardware and software platform, implementing time series forecasting and anomaly detection algorithms.

 

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