Lunch lecture November hosted by TU/e
The title of this lunch lecture is: Potential of fault diagnosis and predictive maintenance for precision mechatronics
The lecture will be given by Koen Classens, postdoctoral researcher at Eindhoven University of Technology.
In the high-tech manufacturing industry, such as the semiconductor industry, minimizing equipment downtime is crucial for maintaining productivity. Predictive maintenance, enabled by fault detection and isolation, enables to address system failures proactively. Digital twins, virtual counterparts of physical machines, offer a powerful tool for fault diagnosis and predictive maintenance by continuously comparing real-time data with predictions from mathematical models. This talk focuses on using these models, already developed during system design and integration phase, to enhance uptime and optimize the performance of mechatronic systems through systematic, model-based fault diagnosis.
Date: November 4th, 2024
Time: 12:00pm
Interested to follow this online lecture via Teams? Please, send an email to info@dspe.nl.
