#7715. Manufacturing process curve monitoring with deep learning

October 2026publication date
Proposal available till 24-05-2025
4 total number of authors per manuscript0 $

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Journal’s subject area:
Industrial and Manufacturing Engineering;
Mechanics of Materials;
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Abstract:
Modern manufacturing plants generate large volumes of data from production processes to monitor and control them. Besides the volume, the complexity of data rises, and thus, new approaches like machine learning and deep learning move into focus to extract the desired information. In assembly, which is critical for final product quality, various processes use curves for quality monitoring. However, there is currently little research on extracting further information from those process curves. Therefore, this paper proposes a deep learning approach for process curve monitoring.
Keywords:
Assembly; Machine learning; Mechanical joining; One-dimensional convolutional neural network; Process curve monitoring

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