Predictive Maintenance

Language: English

12:00 - 13:00 PREDICTIVE MAINTENANCE (1)

Predictive maintenance is a promising technique that aims at predicting failures more accurately, so that just-in-time maintenance can be performed, doing maintenance exactly when and where needed.

PM is widely seen as one of the most valuable applications of the Internet of Things, with the potential of achieving fewer failures, higher uptime at lower costs. This all sounds very attractive, but realizing these benefits is far from easy: obtaining accurate failure predictions, and turning these predictions into (cost-)effective maintenance plans is not trivial.

Therefore, predictive maintenance has attracted a lot of interested, both from industry and academia. At the same. In this session, we presents some highlights of the current state-of-the-art.

This session will feature several speakers who will discuss several topics: Sensor technology, models and algorithms for failure predictions, as well as organizational aspects that are needed to make predictive maintenance solutions work for people and organizations.

Speakers:

prof.dr. M.I.A. Stoelinga (Mariëlle)
Full Professor

Prof. Dr. Mariëlle Stoelinga is a professor of risk management, both at the Radboud University Nijmegen, and the University of Twente, in the Netherlands.

Stoelinga is the project coordinator on PrimaVera, a large collaborative project on Predictive Maintenance in the Dutch National Science Agenda NWA.