---
_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. <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>'
  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>
  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} }'
  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>.
  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.
  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>.
  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'
...