Decision Support System for Predictive Maintenance of Laser Cutting Machines
Description
A new decision support system for predictive maintenance of laser cutting machines is developed. The system provides a platform for condition monitoring, fault detection and prediction of the remaining useful life of systems and components as well as data-driven decision support and prescriptive recommendations for effective operation and maintenance of the laser cutting machines.
Key data
Projectlead
Deputy Projectlead
Dr. Olga Fink
Project team
Gabriel Michau, Prof. Dr. Kurt Stockinger, Ana-Claudia Sima, Mario Christensen, Claude Lehmann
Project partners
Bystronic Laser AG
Project status
completed, 05/2017 - 04/2020
Institute/Centre
Institute for Data Science (IDS); Institute of Computer Science (InIT)
Funding partner
KTI-Projekt / Projekt Nr. 25728.1 PFES-ES
School of Engineering
Technikumstrasse 81
8400 Winterthur