Web: http://arxiv.org/abs/2206.11581

June 24, 2022, 1:10 a.m. | Moritz Schroth, Felix Hake, Konstantin Merker, Alexander Becher, Tilman Klaeger, Robin Huesmann, Detlef Eichhorn, Lukas Oehm

cs.LG updates on arXiv.org arxiv.org

Nowadays cross-industry ranging challenges include the reduction of
greenhouse gas emission and enabling a circular economy. However, the
production of paper from waste paper is still a highly resource intensive task,
especially in terms of energy consumption. While paper machines produce a lot
of data, we have identified a lack of utilization of it and implement a concept
using an operator assistance system and state-of-the-art machine learning
techniques, e.g., classification, forecasting and alarm flood handling
algorithms, to support daily operator …

arxiv digitalization forecast machine operators optimization paper production quality

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