Predictive maintenance for very effective asset management (PrimaVera)

In this project, the Smart Sensor Systems research group collaborates with many other knowledge institutions and companies.

  • AI for Industry

About the project

In this project, the Smart Sensor Systems research group collaborates with many other knowledge institutions and companies. They collaborate to develop smart systems - factories, structures and vehicles - in the three sectors of maritime, infrastructure and high-tech manufacturing. The production and use of these smart systems are fully automated. The machines report online about their own performance and schedule their own maintenance. The holy grail in maintenance is predictive maintenance. Developments are rapid in the industrial ‘Internet of things’, in sensor technology, data analysis and optimisation. Using these recent developments, we can better predict machine failures and breakdowns. By performing maintenance just in time, i.e. just before a system actually fails, companies can reduce maintenance costs while increasing uptime.

Contact: Eric van Genuchten, h.c.m.vangenuchten@hhs.nl

https://www.thuas.com/research/centre-expertise/primavera