by Thom Badings

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.

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Murat Cubuktepe; Nils Jansen; Sebastian Junges; Ahmadreza Marandi; Marnix Suilen; Ufuk Topcu: Robust Finite-State Controllers for Uncertain POMDPs. In: 35th AAAI Conference on Artificial Intelligence, 2021. (Type: Proceedings Article | BibTeX)


Bram Ton; Rob Basten; John Bolte; Jan Braaksma; Alessandro Di Bucchianico; Philippe Calseyde; Frank Grooteman; Tom Heskes; Nils Jansen; Wouter Teeuw; Tiedo Tinga; Mariƫlle Stoelinga: PrimaVera: Synergising Predictive Maintenance. In: Applied Sciences, vol. 10, no. 23, 2020, ISSN: 2076-3417. (Type: Journal Article | Abstract | Links | BibTeX)
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