PrimaVera Project
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.
2023 |
| : Robust Spare Parts Inventory Management. In: Management Science (submitted), vol. 15, 2023. |
| : Integration of multiple failure mechanisms in a life assessment method for centrifugal pump impellers. In: Advances in mechanical engineering, vol. 15, no. 6, 2023, ISSN: 1687-8132. |
| : Maintenance optimization for capital goods when information is incomplete and environment-dependent. In: IISE Transactions, vol. 0, no. 0, pp. 1-16, 2023. |
| : Optimal Spare Management via Statistical Model Checking: A Case Study in Research Reactors. In: FMICS, pp. 205–223, Springer, 2023. |
| : A Comparison of Optical Sensing Systems with Piezo-Electric Sensors for Impact Identification of Composite Plates. In: 14th International Workshop on Structural Health Monitoring, IWSHM 2023, pp. 1127–1133, DEStech Publications, Inc 2023. |