---
_id: '44672'
abstract:
- lang: eng
  text: With enhancing digitalization, condition monitoring is used in an increasing
    number of application fields across various industrial sectors. By its application,
    increased reliability as well as reduced risks and costs can be achieved. Based
    on different approaches, technical systems are monitored and measured data is
    analyzed to enable condition-based or predictive maintenance. To this end, machine
    learning approaches are usually implemented to diagnose the health states or predict
    the health index of the monitored system. However, these trained models are often
    black-box models, not intuitively explainable for a human. To overcome this shortcoming,
    a model-based approach based on physics is developed for piezoelectric bending
    actuators. Such a model enables a transparent representation of the system. Moreover,
    the model-based approach is extended by a parameter-estimation to account for
    sudden changes in behavior e. g. caused by occurring cracks.
article_number: '114399'
article_type: original
author:
- first_name: Amelie
  full_name: Bender, Amelie
  id: '54290'
  last_name: Bender
citation:
  ama: 'Bender A. Model-based condition monitoring of piezoelectric bending actuators.
    <i>Sensors and Actuators A: Physical</i>. 2023;357. doi:<a href="https://doi.org/10.1016/j.sna.2023.114399">10.1016/j.sna.2023.114399</a>'
  apa: 'Bender, A. (2023). Model-based condition monitoring of piezoelectric bending
    actuators. <i>Sensors and Actuators A: Physical</i>, <i>357</i>, Article 114399.
    <a href="https://doi.org/10.1016/j.sna.2023.114399">https://doi.org/10.1016/j.sna.2023.114399</a>'
  bibtex: '@article{Bender_2023, title={Model-based condition monitoring of piezoelectric
    bending actuators}, volume={357}, DOI={<a href="https://doi.org/10.1016/j.sna.2023.114399">10.1016/j.sna.2023.114399</a>},
    number={114399}, journal={Sensors and Actuators A: Physical}, publisher={Elsevier
    BV}, author={Bender, Amelie}, year={2023} }'
  chicago: 'Bender, Amelie. “Model-Based Condition Monitoring of Piezoelectric Bending
    Actuators.” <i>Sensors and Actuators A: Physical</i> 357 (2023). <a href="https://doi.org/10.1016/j.sna.2023.114399">https://doi.org/10.1016/j.sna.2023.114399</a>.'
  ieee: 'A. Bender, “Model-based condition monitoring of piezoelectric bending actuators,”
    <i>Sensors and Actuators A: Physical</i>, vol. 357, Art. no. 114399, 2023, doi:
    <a href="https://doi.org/10.1016/j.sna.2023.114399">10.1016/j.sna.2023.114399</a>.'
  mla: 'Bender, Amelie. “Model-Based Condition Monitoring of Piezoelectric Bending
    Actuators.” <i>Sensors and Actuators A: Physical</i>, vol. 357, 114399, Elsevier
    BV, 2023, doi:<a href="https://doi.org/10.1016/j.sna.2023.114399">10.1016/j.sna.2023.114399</a>.'
  short: 'A. Bender, Sensors and Actuators A: Physical 357 (2023).'
date_created: 2023-05-09T09:49:44Z
date_updated: 2023-05-09T09:53:31Z
department:
- _id: '151'
doi: 10.1016/j.sna.2023.114399
intvolume: '       357'
keyword:
- Condition Monitoring
- Model-based approach Diagnostics
- Varying conditions
- Explainability
- Piezoelectric bending actuators
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://authors.elsevier.com/a/1h2WV3IC9dF7Hm
oa: '1'
publication: 'Sensors and Actuators A: Physical'
publication_identifier:
  issn:
  - 0924-4247
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Model-based condition monitoring of piezoelectric bending actuators
type: journal_article
user_id: '54290'
volume: 357
year: '2023'
...