High-tech mechatronic systems can be complex to diagnose, requiring expert knowledge of the system. The complexity lies in the dynamic behavior and the fact that components interact both mechanically and via digital control loops. In this presentation, a method to capture this knowledge and use it for automated reasoning is explained. This is done using a Bayesian Network, who’s properties also enable modelling uncertainty. A tool has been created in which the network can be run, and a case will be shown.

The speaker will be: Jimmy van Schoubroeck, researcher at the Mechatronics and Control research group, ASML.

This lecture (only for members of the DSPE) will start at 12:02pm on March 6 2023 (Teams digital)

Please send an email to info@dspe.nl if you are interested in this Lunch lecture.