Decision Support System for Predictive Maintenance of Laser Cutting Machines
Beschreibung
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.
Eckdaten
Projektleitung
Stellv. Projektleitung
Dr. Olga Fink
Projektteam
Mario Christensen, Claude Lehmann, Gabriel Michau, Ana-Claudia Sima, Prof. Dr. Kurt Stockinger
Projektpartner
Bystronic Laser AG
Projektstatus
abgeschlossen, 05/2017 - 04/2020
Institut/Zentrum
Institut für Datenanalyse und Prozessdesign (IDP); Institut für Informatik (InIT)
Drittmittelgeber
KTI-Projekt / Projekt Nr. 25728.1 PFES-ES
Technikumstrasse 81
8400 Winterthur