---
_id: '20808'
author:
- first_name: Hassan
  full_name: Ghasemzadeh Mohammadi, Hassan
  id: '61186'
  last_name: Ghasemzadeh Mohammadi
- first_name: Rahil
  full_name: Arshad, Rahil
  last_name: Arshad
- first_name: Sneha
  full_name: Rautmare, Sneha
  last_name: Rautmare
- first_name: Suraj
  full_name: Manjunatha, Suraj
  last_name: Manjunatha
- first_name: Maurice
  full_name: Kuschel, Maurice
  last_name: Kuschel
- first_name: Felix Paul
  full_name: Jentzsch, Felix Paul
  last_name: Jentzsch
- first_name: Marco
  full_name: Platzner, Marco
  id: '398'
  last_name: Platzner
- first_name: Alexander
  full_name: Boschmann, Alexander
  last_name: Boschmann
- first_name: Dirk
  full_name: Schollbach, Dirk
  last_name: Schollbach
citation:
  ama: 'Ghasemzadeh Mohammadi H, Arshad R, Rautmare S, et al. DeepWind: An Accurate
    Wind Turbine Condition Monitoring Framework via Deep Learning on Embedded Platforms.
    In: <i>2020 25th IEEE International Conference on Emerging Technologies and Factory
    Automation (ETFA)</i>. ; 2020. doi:<a href="https://doi.org/10.1109/etfa46521.2020.9211880">10.1109/etfa46521.2020.9211880</a>'
  apa: 'Ghasemzadeh Mohammadi, H., Arshad, R., Rautmare, S., Manjunatha, S., Kuschel,
    M., Jentzsch, F. P., Platzner, M., Boschmann, A., &#38; Schollbach, D. (2020).
    DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep Learning
    on Embedded Platforms. <i>2020 25th IEEE International Conference on Emerging
    Technologies and Factory Automation (ETFA)</i>. <a href="https://doi.org/10.1109/etfa46521.2020.9211880">https://doi.org/10.1109/etfa46521.2020.9211880</a>'
  bibtex: '@inproceedings{Ghasemzadeh Mohammadi_Arshad_Rautmare_Manjunatha_Kuschel_Jentzsch_Platzner_Boschmann_Schollbach_2020,
    title={DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep
    Learning on Embedded Platforms}, DOI={<a href="https://doi.org/10.1109/etfa46521.2020.9211880">10.1109/etfa46521.2020.9211880</a>},
    booktitle={2020 25th IEEE International Conference on Emerging Technologies and
    Factory Automation (ETFA)}, author={Ghasemzadeh Mohammadi, Hassan and Arshad,
    Rahil and Rautmare, Sneha and Manjunatha, Suraj and Kuschel, Maurice and Jentzsch,
    Felix Paul and Platzner, Marco and Boschmann, Alexander and Schollbach, Dirk},
    year={2020} }'
  chicago: 'Ghasemzadeh Mohammadi, Hassan, Rahil Arshad, Sneha Rautmare, Suraj Manjunatha,
    Maurice Kuschel, Felix Paul Jentzsch, Marco Platzner, Alexander Boschmann, and
    Dirk Schollbach. “DeepWind: An Accurate Wind Turbine Condition Monitoring Framework
    via Deep Learning on Embedded Platforms.” In <i>2020 25th IEEE International Conference
    on Emerging Technologies and Factory Automation (ETFA)</i>, 2020. <a href="https://doi.org/10.1109/etfa46521.2020.9211880">https://doi.org/10.1109/etfa46521.2020.9211880</a>.'
  ieee: 'H. Ghasemzadeh Mohammadi <i>et al.</i>, “DeepWind: An Accurate Wind Turbine
    Condition Monitoring Framework via Deep Learning on Embedded Platforms,” 2020,
    doi: <a href="https://doi.org/10.1109/etfa46521.2020.9211880">10.1109/etfa46521.2020.9211880</a>.'
  mla: 'Ghasemzadeh Mohammadi, Hassan, et al. “DeepWind: An Accurate Wind Turbine
    Condition Monitoring Framework via Deep Learning on Embedded Platforms.” <i>2020
    25th IEEE International Conference on Emerging Technologies and Factory Automation
    (ETFA)</i>, 2020, doi:<a href="https://doi.org/10.1109/etfa46521.2020.9211880">10.1109/etfa46521.2020.9211880</a>.'
  short: 'H. Ghasemzadeh Mohammadi, R. Arshad, S. Rautmare, S. Manjunatha, M. Kuschel,
    F.P. Jentzsch, M. Platzner, A. Boschmann, D. Schollbach, in: 2020 25th IEEE International
    Conference on Emerging Technologies and Factory Automation (ETFA), 2020.'
date_created: 2020-12-21T10:03:49Z
date_updated: 2023-07-09T13:08:07Z
doi: 10.1109/etfa46521.2020.9211880
language:
- iso: eng
project:
- _id: '83'
  name: 'SFB 901 - T1: SFB 901 -Subproject T1'
- _id: '82'
  name: 'SFB 901 - T: SFB 901 - Project Area T'
- _id: '1'
  grant_number: '160364472'
  name: 'SFB 901: SFB 901: On-The-Fly Computing - Individualisierte IT-Dienstleistungen
    in dynamischen Märkten '
publication: 2020 25th IEEE International Conference on Emerging Technologies and
  Factory Automation (ETFA)
publication_identifier:
  isbn:
  - '9781728189567'
publication_status: published
status: public
title: 'DeepWind: An Accurate Wind Turbine Condition Monitoring Framework via Deep
  Learning on Embedded Platforms'
type: conference
user_id: '398'
year: '2020'
...