Decision Support System for Predictive Maintenance of Laser Cutting Machines

Auf einen Blick

Projektleiter/in : Dr. Lilach Goren Huber
Stellv. Projektleiter/in : Dr. Olga Fink
Projektteam : Mario Christensen, Claude Lehmann, Dr. Gabriel Michau, Ana-Claudia Sima, Prof. Dr. Kurt Stockinger
Projektstatus : abgeschlossen
Drittmittelgeber : KTI (KTI-Projekt / Projekt Nr. 25728.1 PFES-ES)
Projektpartner : Bystronic Laser AG
Kontaktperson : Lilach Goren Huber

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.

Publikationen

Lehmann, Claude; Goren Huber, Lilach; Horisberger, Thomas; Scheiba, Georg; Sima, Ana-Claudia; Stockinger, Kurt,

2020.

Big data architecture for intelligent maintenance : a focus on query processing and machine learning algorithms.

Journal of Big Data.

7(1).

Verfügbar unter: https://doi.org/10.1186/s40537-020-00340-7

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