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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

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