Machine Learning and Artificial Intelligence for Quality 4.0
March 30th, 2021
09:00 – 12:30 CET
Digital Tech Talk
AGENDA
Session 1: Introduction – Remaining Useful Life Calculation
09:00 Introduction to the Workshop – ML for Quality 4.009:00 Introduction to the Workshop – ML for Quality 4.0
Dr. John Soldatos – INTRASOFT International, Luxembourg
09:10 H2020 QU4LITY: The Vision of Autonomous Quality
Angelo Marguglio – H2020 QU4LITY TM, Engineering Ingegneria Informatica S.p.A., ItalyAngelo Marguglio – H2020 QU4LITY TM, Engineering Ingegneria Informatica S.p.A., Italy Dr. Oscar Lazaro – Innovalia Association, Spain
09:30 Deep Neural Networks for RUL Calculation
Dr. Thanassis Naskos – ATLANTIS Engineering S.A, Greece
09:50 QARMA 4 Industry: A Quantitative Rules Mining Framework for RUL Calculation
Dr. Ioannis Christou – INTRASOFT International, Luxembourg
10:10 SHORT COFFEE BREAK
Session 2: Faults, Anomalies and Defects Identification
10:15 Anomaly Detection Using Unsupervised Learning Techniques
Dr. L. (Leo) Kampmeijer – TNO, The Netherlands
Rob Snel – TNO, The Netherlands
10:35 Intelligent Data Platforms for Advanced Analytics in Industry by MondragonCoorporation, Ikerlan and MGEP :
A Fagor Arrasate Case study
Ekhi Zugasti – MGEP, Spain
Xabier de Carlos – IKERLAN, Spain
11:05 Failure Identification in ATLANTIS Smart Maintenance Platform
Maria Psarodimou – ATLANTIS Engineering S.A, Greece
11:25 SHORT COFFEE BREAK
Session 3: Product Control and Testing – Concluding Remarks
11:30 ML based Product Testing and Quality Control
Dr. Lukas Schulte – Technical University of Dortmund, Germany
11:50 Improving the build quality in laser powder bed fusion using high dynamic range imaging
and model-based reinforcement learning
Christian Knaak – Fraunhofer ILT, Germany