Context and challenges
This client is a leading group in the nuclear industry. At one of its nuclear power plants, hydraulic water rakes were installed to clean the strainers on seawater collection pump stations.
These rakes feed the cooling water circulation pumps (secondary cooling systems) and the ESWS pumps (redundant raw water - primary cooling system). These latest-generation rakes are cleaner and were brought into service recently, but the client has no feedback in terms of their operation.
The client therefore wished to implement monitoring of these rakes, to track movements and detect anomalies, in order to balance maintenance operations while ensuring the operational effectiveness and good ageing of the facilities. Such anomalies may be: container failing to tip, travel not completed, vibration during movements, blockage during movement, engine overheating, rake stopped, no power supply to engine, etc.
Therefore the client entrusted Assystem to design and implement a data science solution to deliver predictive maintenance, including Artificial Intelligence to track and monitor hydraulic rakes activity and plan maintenance operations ahead of time.