---
_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'
...