Machine Learning and Artificial Intelligence for Quality 4.0
Digital Tech Talk | 30th March 2021 | 09:00 – 12:30
AGENDA
Session 1: Introduction – Remaining Useful Life Calculation
09:00 – 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., Italy
Dr. Oscar Lazaro – Innovalia Association, Spain
09:30 – Deep Neural Networks for RUL Estimation
Dr. Thanasis Naskos – ATLANTIS Engineering S.A, Greece
09:50 – QARMA4 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 Mondragon Coorporation,
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
12:10 – Open Discussion – Stakeholders’ Feedback – Engaging with QU4LITY and DFA
12:25 – Conclusions – Closing Remarks – Workshop Closing
Co-funded by the Horizon 2020
Framework Programme of the European Union
Under grant agreement No 825030
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