--- _id: '15488' abstract: - lang: eng text: 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. author: - first_name: Christian full_name: Thiel, Christian last_name: Thiel - first_name: Carolin full_name: Steidl, Carolin last_name: Steidl - first_name: Bernd full_name: Henning, Bernd id: '213' last_name: Henning citation: ama: 'Thiel C, Steidl C, Henning B. P2.9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press. In: AMA Service GmbH, ed. 20. GMA/ITG-Fachtagung. Sensoren Und Messsysteme 2019. Von-Münchhausen-Str. 49, 31515 Wunstorf; 2019. doi:10.5162/SENSOREN2019/P2.9' apa: Thiel, C., Steidl, C., & Henning, B. (2019). P2.9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press. In AMA Service GmbH (Ed.), 20. GMA/ITG-Fachtagung. Sensoren und Messsysteme 2019. Von-Münchhausen-Str. 49, 31515 Wunstorf. https://doi.org/10.5162/SENSOREN2019/P2.9 bibtex: '@inproceedings{Thiel_Steidl_Henning_2019, place={Von-Münchhausen-Str. 49, 31515 Wunstorf}, title={P2.9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press}, DOI={10.5162/SENSOREN2019/P2.9}, booktitle={20. GMA/ITG-Fachtagung. Sensoren und Messsysteme 2019}, author={Thiel, Christian and Steidl, Carolin and Henning, Bernd}, editor={AMA Service GmbHEditor}, year={2019} }' chicago: Thiel, Christian, Carolin Steidl, and Bernd Henning. “P2.9 Comparison of Deep Feature Extraction Techniques for Varying-Length Time Series from an Industrial Piercing Press.” In 20. GMA/ITG-Fachtagung. Sensoren Und Messsysteme 2019, edited by AMA Service GmbH. Von-Münchhausen-Str. 49, 31515 Wunstorf, 2019. https://doi.org/10.5162/SENSOREN2019/P2.9. ieee: C. Thiel, C. Steidl, and B. Henning, “P2.9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press,” in 20. GMA/ITG-Fachtagung. Sensoren und Messsysteme 2019, 2019. mla: Thiel, Christian, et al. “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, edited by AMA Service GmbH, 2019, doi:10.5162/SENSOREN2019/P2.9. short: 'C. Thiel, C. Steidl, B. Henning, in: AMA Service GmbH (Ed.), 20. GMA/ITG-Fachtagung. Sensoren Und Messsysteme 2019, Von-Münchhausen-Str. 49, 31515 Wunstorf, 2019.' corporate_editor: - AMA Service GmbH date_created: 2020-01-10T16:03:58Z date_updated: 2022-01-06T06:52:27Z department: - _id: '49' doi: 10.5162/SENSOREN2019/P2.9 keyword: - Dynamic Time Warping - Feature Extraction - Masking - Neural Networks language: - iso: eng place: Von-Münchhausen-Str. 49, 31515 Wunstorf publication: 20. GMA/ITG-Fachtagung. Sensoren und Messsysteme 2019 publication_identifier: isbn: - 978-3-9819376-0-2 status: public title: P2.9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press type: conference user_id: '11829' year: '2019' ...