Blar i SINTEF Open på forfatter "Jourdan, Nicolas"
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Frameworks for data-driven quality management in cyber-physical systems for manufacturing: A systematic review
Cassoli, Beatriz; Jourdan, Nicolas; Nguyen, Phu Hong; Sen, Sagar; Garcia-Ceja, Enrique; Metternich, Joachim (Peer reviewed; Journal article, 2022)Recent advances in the manufacturing industry have enabled the deployment of Cyber-Physical Systems (CPS) at scale. By utilizing advanced analytics, data from production can be analyzed and used to monitor and improve the ... -
On The Reliability Of Machine Learning Applications In Manufacturing Environments
Jourdan, Nicolas; Sen, Sagar; Husom, Erik Johannes; Garcia-Ceja, Enrique; Biegel, Tobias; Metternich, Joachim (Chapter, 2021)The increasing deployment of advanced digital technologies such as Internet of Things (IoT) devices and Cyber-Physical Systems (CPS) in industrial environments is enabling the productive use of machine learning (ML) ... -
Virtual sensors for erroneous data repair in manufacturing a machine learning pipeline
Sen, Sagar; Husom, Erik Johannes; Goknil, Arda; Politaki, Dimitra; Tverdal, Simeon; Nguyen, Phu Hong; Jourdan, Nicolas (Peer reviewed; Journal article, 2023)Manufacturing converts raw materials into finished products using machine tools for controlled material removal or deposition. It can be observed using sensors installed within and around machine tools. These sensors measure ...