No more train delays, power outages, or failure of production machines? The PrimaVera project, funded by the Dutch National Research Agenda (NWA), represents a major step towards this goal. With predictive maintenance, or just-in-time maintenance (maintenance just before a system breaks down), the reliability of infrastructure and production resources can be increased and the costs of maintenance can be reduced.
Existing predictive maintenance techniques only work for small-scale systems and are difficult to scale up. Choices made in one place in the chain have an important influence on other processes in the chain. The choice of a certain type of sensors and measurements influences the type of predictions that can be made, and therefore also the quality of the predictions. That is why cross-level optimization methods are being developed within PrimaVera.
Dr. Heletje van Staden – The effect of multi-sensor data on condition-based maintenance policies (Nov 3, 2021)
Industry 4.0 promises reductions in maintenance costs through access to digital technologies such as the …
At the research group Ambient Intelligence, we perform applied research: based on real-life use cases …
Errol Zalmijn – Applying Causal Analytics for ASML Diagnostics: Results and Challenges (June 30, 2021)
Semiconductor lithography system issues are challenging to diagnose from predefined models and historic data alone. …
Bart Pollman & Dr. Wieger Tiddens – Smart use of sensor data leads to modern maintenance support in future ships (June 2, 2021)
The Royal Netherlands Navy is planning to introduce several new ship classes within the next …