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
Mario Christensen, Claude Lehmann, Gabriel Michau, Ana-Claudia Sima, Prof. Dr. Kurt Stockinger
Project partners
Bystronic Laser AG
Project status
completed, 05/2017 - 04/2020
Funding partner
KTI-Projekt / Projekt Nr. 25728.1 PFES-ES