Description

In the current developments in sensorics, IoT, big data and Industry 4.0, one of the big promises is the application of a Predictive Maintenance policy: by accurately measuring all kinds of variables, future failures in (production) systems can be accurately predicted, and maintenance can be performed "just-in-time". This results in cost savings on the one hand and an increase in system availability on the other.

In the research programme of the Dynamics Based Maintenance group at the University of Twente, all kinds of methods are being developed to enable Predictive Maintenance. However, before these methods can be applied in practice, all kinds of practical obstacles still need to be overcome. In this round table, the KIVI Chair Maintenance will discuss the potential of existing and yet-to-be-developed Predictive Maintenance methods and concepts, and the practical challenges and issues involved.

Companies will be given an insight into the developments and current possibilities in this field. In addition, they will be asked which challenges they see in this area, and which tools, technology, methods are needed from their perspective.

Register via the link below using registration code 61717589 (with KVK number) or 61717698 (without KVK number).

Speaker(s)

The discussion will be led by Prof Dr Tiedo Tinga and Dr Wieger Tiddens of the KIVI Chair in Dynamics Based Maintenance at the University of Twente.

Location

Evenementenhal Hardenberg

Energieweg 2, 7772 TV Hardenberg

Organiser

Eastern Region

Name and contact details for information

Elfride Dijkstra