---
_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'
...
---
_id: '9889'
abstract:
- lang: eng
  text: A measurement method is presented that combines the advantages of the multisine
    measurement technique with a prediction method for peak bending behavior. This
    combination allows the analysis of the dynamic behavior of mechanical structures
    at distinctly reduced measurement durations and has the advantage of reducing
    high excitation impacts on the structure under test.
author:
- first_name: Christian
  full_name: Sprock, Christian
  last_name: Sprock
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Sprock C, Sextro W. Time-efficient dynamic analysis of structures exhibiting
    nonlinear peak bending. In: <i>Instrumentation and Measurement Technology Conference
    (I2MTC) Proceedings, 2014 IEEE International</i>. ; 2014:320-324. doi:<a href="https://doi.org/10.1109/I2MTC.2014.6860760">10.1109/I2MTC.2014.6860760</a>'
  apa: Sprock, C., &#38; Sextro, W. (2014). Time-efficient dynamic analysis of structures
    exhibiting nonlinear peak bending. In <i>Instrumentation and Measurement Technology
    Conference (I2MTC) Proceedings, 2014 IEEE International</i> (pp. 320–324). <a
    href="https://doi.org/10.1109/I2MTC.2014.6860760">https://doi.org/10.1109/I2MTC.2014.6860760</a>
  bibtex: '@inproceedings{Sprock_Sextro_2014, title={Time-efficient dynamic analysis
    of structures exhibiting nonlinear peak bending}, DOI={<a href="https://doi.org/10.1109/I2MTC.2014.6860760">10.1109/I2MTC.2014.6860760</a>},
    booktitle={Instrumentation and Measurement Technology Conference (I2MTC) Proceedings,
    2014 IEEE International}, author={Sprock, Christian and Sextro, Walter}, year={2014},
    pages={320–324} }'
  chicago: Sprock, Christian, and Walter Sextro. “Time-Efficient Dynamic Analysis
    of Structures Exhibiting Nonlinear Peak Bending.” In <i>Instrumentation and Measurement
    Technology Conference (I2MTC) Proceedings, 2014 IEEE International</i>, 320–24,
    2014. <a href="https://doi.org/10.1109/I2MTC.2014.6860760">https://doi.org/10.1109/I2MTC.2014.6860760</a>.
  ieee: C. Sprock and W. Sextro, “Time-efficient dynamic analysis of structures exhibiting
    nonlinear peak bending,” in <i>Instrumentation and Measurement Technology Conference
    (I2MTC) Proceedings, 2014 IEEE International</i>, 2014, pp. 320–324.
  mla: Sprock, Christian, and Walter Sextro. “Time-Efficient Dynamic Analysis of Structures
    Exhibiting Nonlinear Peak Bending.” <i>Instrumentation and Measurement Technology
    Conference (I2MTC) Proceedings, 2014 IEEE International</i>, 2014, pp. 320–24,
    doi:<a href="https://doi.org/10.1109/I2MTC.2014.6860760">10.1109/I2MTC.2014.6860760</a>.
  short: 'C. Sprock, W. Sextro, in: Instrumentation and Measurement Technology Conference
    (I2MTC) Proceedings, 2014 IEEE International, 2014, pp. 320–324.'
date_created: 2019-05-20T13:25:22Z
date_updated: 2019-05-20T13:25:53Z
department:
- _id: '151'
doi: 10.1109/I2MTC.2014.6860760
keyword:
- bending
- dynamic testing
- measurement
- structural engineering
- vibrations
- measurement durations
- mechanical structures
- multisine measurement technique
- nonlinear peak bending behavior
- prediction method
- time-efficient dynamic analysis
- Heuristic algorithms
- Nonlinear systems
- Oscillators
- Time measurement
- Time-frequency analysis
- Vibrations
language:
- iso: eng
page: 320-324
publication: Instrumentation and Measurement Technology Conference (I2MTC) Proceedings,
  2014 IEEE International
status: public
title: Time-efficient dynamic analysis of structures exhibiting nonlinear peak bending
type: conference
user_id: '55222'
year: '2014'
...