2025 SMSI Bannerklein

P2.9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press

Event
20. GMA/ITG-Fachtagung Sensoren und Messsysteme 2019
2019-06-25 - 2019-06-26
Nürnberg, Germany
Chapter
P2: Messsysteme
Author(s)
C. Thiel - BENTELER Steel/Tube GmbH, Paderborn (Deutschland), C. Steidl, B. Henning - Universität Paderborn (Deutschland)
Pages
715 - 719
DOI
10.5162/sensoren2019/P2.9
ISBN
978-3-9819376-0-2
Price
free

Abstract

The continuous refinement of sensor technologies enables the manufacturing industry to capture increasing amounts of data during the production process. As processes take time to complete, sensors register large amounts of time-series-like data for each product. In order to make this data usable, a feature extraction is mandatory. In this work, we discuss and evaluate different network architectures, input pre-processing and cost functions regarding, among other aspects, their suitability for time series of different lengths.

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