Exponential growth in big data and recent breakthroughs in deep learning continue to drive the widespread adoption of machine learning in industry. In this presentation, the impact of deep learning in the process industries will be reviewed, focusing on sensor data analytics and process monitoring.

This will include examples of the monitoring of bulk particulates on conveyor belts, the underflow of hydrocyclones, froth image analysis and signal processing in general, and a brief look at the emerging application in modelling and control.