Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry

This book collects perceptions and needs expectations and experiences concerning the application of Artificial Intelligence (AI) and Machine Learning in the steel sector. It contains a selection of themes discussed within the Workshop entitled "Impact and Opportunities of Artificial Intelligence in the Steel Industry" organized by the European Steel Technology Platform as an online event from October 15 until November 5, 2020. The event aimed at analyzing the diffusion of AI technologies in steelworks and at providing indications for future research, development and innovation actions addressing the sector demands. The chapters treat general analyses on transversal themes and applications for process optimization, product quality enhancement, yield increase, optimal exploitation of resources and smart data handling. The book is devoted to researchers and technicians in the steel or AI fields as well as for managers and policymakers exploring the opportunities provided by AI in industry.

Inhalt
Challenges and frontiers in implementing artificial intelligence in process industry

Marcus J. Neuer, Andreas Wolff, Norbert Holzknecht

Data Preprocessing for effective design of Machine Learning-based models in the steel sector

Silvia Cateni, Valentina Colla, Antonella Vignali, Marco Vannucci

Quantifying uncertainty in physics-informed variational autoencoders for anomaly detection

Marcus J. Neuer

Mapping of Standardized State Machines to Utilize Machine Learning Models in Process Control Environments

Julian Grothoff, Tobias Kleinert

Quality4.0 - Transparent product quality supervision in the age of Industry 4.0

Jens Brandenburger, Christoph Schirm, Josef Melcher, Edgar Hancke, Marco Vannucci, Valentina Colla, Silvia Cateni, Rami Sellami, Sébastien Dupont, Annick Majchrowski, Asier Arteaga

Artificial Intelligence and Machine Learning techniques for generation and assessment of products properties data

Marco Vannucci, Valentina Colla, Antonio Ritacco, Marco Vannocci, Antonella Vignali

The use of advanced data analytics to monitor process-induced changes to the microstructure and mechanical properties in flat steel strip

Frenk Van Den Berg, Danique Fintelman, Haibing Yang, Claudio Mocci, Marco Vannucci, Valentina Colla

Unsupervised Deep Learning for Detection of Non-uniform Surface Defect Distributions in Flat Steel Production

Nicolas Camargo Torres, Jens Brandenburger

Machine Learning-based models for supporting optimal exploitation of process off-gases in integrated steelworks

Ismael Matino, Stefano Dettori, Angelo Castellano, Ruben Matino, Claudio Mocci, Marco Vannocci, Alessandro Maddaloni, Valentina Colla, Andreas Wolff

Industrial Cyber Security at the Network Edge: the BRAINE Project approach

Francesco Paolucci, Pavel Burget, Victor Genin, Ela Kolis, Gheorghe Dobra, Lucian Cotet, Irina Busila, Sylvain Guilley, Philippe Nguyen, Youssef Souissi, Liran Liss, Boris Pismeny, Juan Jose Vegas Olmos, Filippo Cugini

Smart Steel Pipe Production Plant via Cognitive Digital Twins: A Case Study on Digitalization of Spiral Welded Pipe Machinery

Özlem Albayrak, Perin Ünal

TSorage: A Modern and Resilient Platform for Time Series Management at Scale

Mathieu Goeminne, Nico Salamone, Mohamed Boukhebouze, Stéphane Mouton