UTFacultiesEEMCSDisciplines & departmentsFormal Methods and ToolsResearchProjectsPrimaVera: Predictive maintenance for Very effective asset management

PrimaVera: Predictive maintenance for Very effective asset management

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.

Link to project page: https://primavera-project.com/
Other links: 
https://www.ptindustrieelmanagement.nl/maintenance/artikel/2020/02/vier-valkuilen-in-predictive-maintenance-1012913?_ga=2.18279225.1448956513.1586255005-1436055179.1586255005

https://www.processcontrol.nl/voorspellend-onderhoud-op-basis-van-big-data-nog-stap-te-ver/