The Royal Navy is introducing several new classes of ships over the next decade. These ships will be highly advanced technologically. Moreover, these ships must have high availability despite smaller crews. This combination leads to the need for further automation and better (decision) support for the crew.

Sensor data (temperatures, pressures, speeds, etc.) can be used to detect trends that indicate deterioration in the condition of an implement or machine. By recognising these early, catastrophic failures can be avoided and maintenance planning can be optimised. During the webinar, Bart Pollmann and Wieger Tiddens look at the possibilities offered by already available data (for the 'operate and monitor' function, for example), but also which sensors are additionally needed to monitor the (right!) failure mechanisms. To turn data into decision-supporting information, visualisation techniques, as well as 'AI and Machine Learning', are used. The Royal Navy is working with industry to ensure the necessary technology is available in time for the new ships.