Monitoring industrial systems, like wastewater treatment plants, is becoming more and more complex, due to the rising amount of sensors and available data.
Smart algorithms are needed to automatically identify abnormal behaviour and support human operators.
1. Using historical data a machine learning model learns to extract the normal behaviour of the system out of the sensors data
2. The model identifies anomalies by reconstructing the original signal and calculating a reconstruction error
3. Monitoring a real system, the model is able to detect abnormal behaviour in real time and alert a human operator
... and many more
