{"abstract":[{"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.","lang":"eng"}],"doi":"10.5162/SENSOREN2019/P2.9","corporate_editor":["AMA Service GmbH"],"keyword":["Dynamic Time Warping","Feature Extraction","Masking","Neural Networks"],"department":[{"_id":"49"}],"user_id":"11829","place":"Von-Münchhausen-Str. 49, 31515 Wunstorf","citation":{"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.","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. <i>20. GMA/ITG-Fachtagung. Sensoren Und Messsysteme 2019</i>. Von-Münchhausen-Str. 49, 31515 Wunstorf; 2019. doi:<a href=\"https://doi.org/10.5162/SENSOREN2019/P2.9\">10.5162/SENSOREN2019/P2.9</a>","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 <i>20. GMA/ITG-Fachtagung. Sensoren Und Messsysteme 2019</i>, edited by AMA Service GmbH. Von-Münchhausen-Str. 49, 31515 Wunstorf, 2019. <a href=\"https://doi.org/10.5162/SENSOREN2019/P2.9\">https://doi.org/10.5162/SENSOREN2019/P2.9</a>.","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={<a href=\"https://doi.org/10.5162/SENSOREN2019/P2.9\">10.5162/SENSOREN2019/P2.9</a>}, booktitle={20. GMA/ITG-Fachtagung. Sensoren und Messsysteme 2019}, author={Thiel, Christian and Steidl, Carolin and Henning, Bernd}, editor={AMA Service GmbHEditor}, year={2019} }","mla":"Thiel, Christian, et al. “P2.9 Comparison of Deep Feature Extraction Techniques for Varying-Length Time Series from an Industrial Piercing Press.” <i>20. GMA/ITG-Fachtagung. Sensoren Und Messsysteme 2019</i>, edited by AMA Service GmbH, 2019, doi:<a href=\"https://doi.org/10.5162/SENSOREN2019/P2.9\">10.5162/SENSOREN2019/P2.9</a>.","apa":"Thiel, C., Steidl, C., &#38; 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.), <i>20. GMA/ITG-Fachtagung. Sensoren und Messsysteme 2019</i>. Von-Münchhausen-Str. 49, 31515 Wunstorf. <a href=\"https://doi.org/10.5162/SENSOREN2019/P2.9\">https://doi.org/10.5162/SENSOREN2019/P2.9</a>","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 <i>20. GMA/ITG-Fachtagung. Sensoren und Messsysteme 2019</i>, 2019."},"type":"conference","date_created":"2020-01-10T16:03:58Z","title":"P2.9 Comparison of deep feature extraction techniques for varying-length time series from an industrial piercing press","publication":"20. GMA/ITG-Fachtagung. Sensoren und Messsysteme 2019","status":"public","author":[{"last_name":"Thiel","full_name":"Thiel, Christian","first_name":"Christian"},{"full_name":"Steidl, Carolin","last_name":"Steidl","first_name":"Carolin"},{"last_name":"Henning","full_name":"Henning, Bernd","first_name":"Bernd","id":"213"}],"date_updated":"2022-01-06T06:52:27Z","year":"2019","_id":"15488","publication_identifier":{"isbn":["978-3-9819376-0-2"]},"language":[{"iso":"eng"}]}