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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2025

Lisandro Arturo Jimenez-Roa: Reliability and Maintenance for Engineering Systems: Fault Trees, Degradation Modelling and Maintenance Optimisation. 2025, ISBN: 978-90-365-6407-6. (Type: PhD Thesis | Abstract | Links | BibTeX)

2024

Sabari Nathan Anbalagan: SPECTRUM: Towards Self-aware Industrial IoT Systems. 2024, ISBN: 978-90-365-6335-2. (Type: PhD Thesis | Abstract | Links | BibTeX)
Ragnar Hans Eggertsson: Advances in Asset Management: Maintenance Optimization under Incomplete Information and Sustainable Technology Selection. 2024, ISBN: 978-90-386-6159-9. (Type: PhD Thesis | Links | BibTeX)
Bram Ton: Point taken: Translating the physical rail domain to cyber space using point clouds from mobile laser scanning. 2024, ISBN: 978-90-365-6199-0. (Type: PhD Thesis | Abstract | Links | BibTeX)
Henk Akkermans; Rob Basten; Quan Zhu; Luk Van Wassenhove: Transition paths for condition-based maintenance-driven smart services. In: Journal of Operations Management, vol. n/a, no. n/a, 2024. (Type: Journal Article | Abstract | Links | BibTeX)
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