P2.9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press
- 20. GMA/ITG-Fachtagung Sensoren und Messsysteme 2019
2019-06-25 - 2019-06-26
- P2: Messsysteme
- C. Thiel - BENTELER Steel/Tube GmbH, Paderborn (Deutschland), C. Steidl, B. Henning - Universität Paderborn (Deutschland)
- 715 - 719
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.