---
_id: '63765'
abstract:
- lang: eng
text: Rubber-metal bushings (RMB) are critical components in multi-body systems,
such as vehicles and industrial machinery, due to their ability to enable relative
motion, dampen vibrations, and transmit forces. However, their nonlinear behavior
challenges accurate modeling. Traditional physics-based models often fail to balance
simplicity, accuracy, and computational efficiency. The growing availability of
experimental data offers opportunities to improve RMB modeling through hybrid
and data-driven approaches. This study evaluates physics-based, hybrid, and data-driven
methods based on predictive accuracy, modeling effort, and computational cost.
Hybrid approaches, combining machine learning techniques with physics-based models,
are investigated to leverage their complementary strengths. Results show that
hybrid methods enhance accuracy for simpler models with a modest increase in computational
time. This highlights their potential to simplify RMB modeling while balancing
accuracy and efficiency, offering insights for advancing multi-body system simulations.
Building on these insights, data-driven methods are explored for their ability
to provide surrogate models for dynamical systems without requiring expert knowledge.
Experiments reveal that while simple data-driven methods approximate system behavior
when data has low variance, they fail with trajectories of widely varying frequency
and amplitude.
author:
- first_name: Meike Claudia
full_name: Wohlleben, Meike Claudia
id: '43991'
last_name: Wohlleben
orcid: 0009-0009-9767-7168
- first_name: Jan
full_name: Schütte, Jan
id: '22109'
last_name: Schütte
orcid: 0000-0001-9025-9742
- first_name: Manuel Bastian
full_name: Berkemeier, Manuel Bastian
last_name: Berkemeier
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: Sebastian
full_name: Peitz, Sebastian
last_name: Peitz
citation:
ama: Wohlleben MC, Schütte J, Berkemeier MB, Sextro W, Peitz S. Evaluating Physics-Based,
Hybrid, and Data-Driven Models for Rubber-Metal Bushings. Multibody System
Dynamics. Published online 2026:1–21. doi:10.1007/s11044-026-10146-9
apa: Wohlleben, M. C., Schütte, J., Berkemeier, M. B., Sextro, W., & Peitz,
S. (2026). Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal
Bushings. Multibody System Dynamics, 1–21. https://doi.org/10.1007/s11044-026-10146-9
bibtex: '@article{Wohlleben_Schütte_Berkemeier_Sextro_Peitz_2026, title={Evaluating
Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings}, DOI={10.1007/s11044-026-10146-9},
journal={Multibody System Dynamics}, author={Wohlleben, Meike Claudia and Schütte,
Jan and Berkemeier, Manuel Bastian and Sextro, Walter and Peitz, Sebastian}, year={2026},
pages={1–21} }'
chicago: Wohlleben, Meike Claudia, Jan Schütte, Manuel Bastian Berkemeier, Walter
Sextro, and Sebastian Peitz. “Evaluating Physics-Based, Hybrid, and Data-Driven
Models for Rubber-Metal Bushings.” Multibody System Dynamics, 2026, 1–21.
https://doi.org/10.1007/s11044-026-10146-9.
ieee: 'M. C. Wohlleben, J. Schütte, M. B. Berkemeier, W. Sextro, and S. Peitz, “Evaluating
Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings,” Multibody
System Dynamics, pp. 1–21, 2026, doi: 10.1007/s11044-026-10146-9.'
mla: Wohlleben, Meike Claudia, et al. “Evaluating Physics-Based, Hybrid, and Data-Driven
Models for Rubber-Metal Bushings.” Multibody System Dynamics, 2026, pp.
1–21, doi:10.1007/s11044-026-10146-9.
short: M.C. Wohlleben, J. Schütte, M.B. Berkemeier, W. Sextro, S. Peitz, Multibody
System Dynamics (2026) 1–21.
date_created: 2026-01-27T15:51:55Z
date_updated: 2026-03-03T06:31:03Z
department:
- _id: '151'
doi: 10.1007/s11044-026-10146-9
language:
- iso: eng
page: 1–21
publication: Multibody System Dynamics
publication_identifier:
issn:
- 1384-5640
quality_controlled: '1'
status: public
title: Evaluating Physics-Based, Hybrid, and Data-Driven Models for Rubber-Metal Bushings
type: journal_article
user_id: '43991'
year: '2026'
...
---
_id: '64826'
author:
- first_name: Max
full_name: Kelber, Max
id: '70188'
last_name: Kelber
- first_name: Steffen
full_name: Brück, Steffen
last_name: Brück
- first_name: Nishant
full_name: Bhardwaj, Nishant
last_name: Bhardwaj
- first_name: Osarenren Kennedy
full_name: Aimiyekagbon, Osarenren Kennedy
id: '9557'
last_name: Aimiyekagbon
- first_name: Rolf
full_name: Naumann, Rolf
last_name: Naumann
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Kelber M, Brück S, Bhardwaj N, Aimiyekagbon OK, Naumann R, Sextro W. Methodik
zur Untersuchung der Fahrwerksparameter von Schienenfahrzeugen auf Basis optischer
Schwingungsmessungen an einer ortsfesten Messstelle. In: Hochschule für Technik
und Wirtschaft Dresden, Fakultät Maschinenbau, ed. Tagungsband Rad-Schiene-Tagung
2026. DVV Media Group GmbH - Eurailpress; 2026:206 – 208.'
apa: Kelber, M., Brück, S., Bhardwaj, N., Aimiyekagbon, O. K., Naumann, R., &
Sextro, W. (2026). Methodik zur Untersuchung der Fahrwerksparameter von Schienenfahrzeugen
auf Basis optischer Schwingungsmessungen an einer ortsfesten Messstelle. In Hochschule
für Technik und Wirtschaft Dresden, Fakultät Maschinenbau (Ed.), Tagungsband
Rad-Schiene-Tagung 2026 (pp. 206 – 208). DVV Media Group GmbH - Eurailpress.
bibtex: '@inproceedings{Kelber_Brück_Bhardwaj_Aimiyekagbon_Naumann_Sextro_2026,
place={Hamburg}, title={Methodik zur Untersuchung der Fahrwerksparameter von Schienenfahrzeugen
auf Basis optischer Schwingungsmessungen an einer ortsfesten Messstelle}, booktitle={Tagungsband
Rad-Schiene-Tagung 2026}, publisher={DVV Media Group GmbH - Eurailpress}, author={Kelber,
Max and Brück, Steffen and Bhardwaj, Nishant and Aimiyekagbon, Osarenren Kennedy
and Naumann, Rolf and Sextro, Walter}, editor={Hochschule für Technik und Wirtschaft
Dresden, Fakultät Maschinenbau}, year={2026}, pages={206 – 208} }'
chicago: 'Kelber, Max, Steffen Brück, Nishant Bhardwaj, Osarenren Kennedy Aimiyekagbon,
Rolf Naumann, and Walter Sextro. “Methodik zur Untersuchung der Fahrwerksparameter
von Schienenfahrzeugen auf Basis optischer Schwingungsmessungen an einer ortsfesten
Messstelle.” In Tagungsband Rad-Schiene-Tagung 2026, edited by Hochschule
für Technik und Wirtschaft Dresden, Fakultät Maschinenbau, 206 – 208. Hamburg:
DVV Media Group GmbH - Eurailpress, 2026.'
ieee: M. Kelber, S. Brück, N. Bhardwaj, O. K. Aimiyekagbon, R. Naumann, and W. Sextro,
“Methodik zur Untersuchung der Fahrwerksparameter von Schienenfahrzeugen auf Basis
optischer Schwingungsmessungen an einer ortsfesten Messstelle,” in Tagungsband
Rad-Schiene-Tagung 2026, Dresden, 2026, pp. 206 – 208.
mla: Kelber, Max, et al. “Methodik zur Untersuchung der Fahrwerksparameter von Schienenfahrzeugen
auf Basis optischer Schwingungsmessungen an einer ortsfesten Messstelle.” Tagungsband
Rad-Schiene-Tagung 2026, edited by Hochschule für Technik und Wirtschaft Dresden,
Fakultät Maschinenbau, DVV Media Group GmbH - Eurailpress, 2026, pp. 206 – 208.
short: 'M. Kelber, S. Brück, N. Bhardwaj, O.K. Aimiyekagbon, R. Naumann, W. Sextro,
in: Hochschule für Technik und Wirtschaft Dresden, Fakultät Maschinenbau (Ed.),
Tagungsband Rad-Schiene-Tagung 2026, DVV Media Group GmbH - Eurailpress, Hamburg,
2026, pp. 206 – 208.'
conference:
end_date: 2026-03-06
location: Dresden
name: 21. Internationale Schienenfahrzeugtagung Dresden 4.-6. März 2026
start_date: 2026-03-04
corporate_editor:
- Hochschule für Technik und Wirtschaft Dresden, Fakultät Maschinenbau
date_created: 2026-03-04T10:26:27Z
date_updated: 2026-03-04T10:38:28Z
department:
- _id: '151'
language:
- iso: ger
page: 206 – 208
place: Hamburg
popular_science: '1'
project:
- _id: '1355'
name: enableATO – Automatisierter Bahnverkehr als Backbone für eine nachhaltige,
vernetzte Mobilität im ländlichen Raum
publication: Tagungsband Rad-Schiene-Tagung 2026
publication_identifier:
isbn:
- 978-3-96892-332-1
publication_status: published
publisher: DVV Media Group GmbH - Eurailpress
status: public
title: Methodik zur Untersuchung der Fahrwerksparameter von Schienenfahrzeugen auf
Basis optischer Schwingungsmessungen an einer ortsfesten Messstelle
type: conference
user_id: '70188'
year: '2026'
...
---
_id: '64787'
abstract:
- lang: eng
text: This study proposes a fault diagnostics methodology that addresses the challenges
posed by highly imbalanced datasets typical of railway applications, where faulty
conditions constitute the minority class. Fault diagnostics is performed from
the component level upward, considering each sensor’s proximity to its respective
critical component. Advanced signal analysis, feature engineering, and automated
data-driven model generation techniques were explored to achieve comprehensive
diagnostics, such that the model development process accounts for variations in
the operating conditions and differing levels of information availability. The
proposed methodology is evaluated on datasets from the MONOCAB, for scenarios
with limited faulty instances and on the Beijing 2024 IEEE PHM Conference data
challenge, which focused on fault diagnostics of railway systems under various
fault modes and operating conditions.
article_number: '1'
author:
- first_name: Osarenren Kennedy
full_name: Aimiyekagbon, Osarenren Kennedy
id: '9557'
last_name: Aimiyekagbon
- first_name: Alexander
full_name: Löwen, Alexander
id: '47233'
last_name: Löwen
- first_name: Raphael
full_name: Hanselle, Raphael
last_name: Hanselle
- first_name: Thomas
full_name: Rief, Thomas
last_name: Rief
- first_name: Maximilian
full_name: Beck, Maximilian
last_name: Beck
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Aimiyekagbon OK, Löwen A, Hanselle R, Rief T, Beck M, Sextro W. Multilevel
fault diagnostics for railway applications using limited historical data. In:
PHM Society Asia-Pacific Conference. Vol 5. ; 2025. doi:10.36001/phmap.2025.v5i1.4449'
apa: Aimiyekagbon, O. K., Löwen, A., Hanselle, R., Rief, T., Beck, M., & Sextro,
W. (2025). Multilevel fault diagnostics for railway applications using limited
historical data. PHM Society Asia-Pacific Conference, 5, Article
1. https://doi.org/10.36001/phmap.2025.v5i1.4449
bibtex: '@inproceedings{Aimiyekagbon_Löwen_Hanselle_Rief_Beck_Sextro_2025, title={Multilevel
fault diagnostics for railway applications using limited historical data}, volume={5},
DOI={10.36001/phmap.2025.v5i1.4449},
number={1}, booktitle={PHM Society Asia-Pacific Conference}, author={Aimiyekagbon,
Osarenren Kennedy and Löwen, Alexander and Hanselle, Raphael and Rief, Thomas
and Beck, Maximilian and Sextro, Walter}, year={2025} }'
chicago: Aimiyekagbon, Osarenren Kennedy, Alexander Löwen, Raphael Hanselle, Thomas
Rief, Maximilian Beck, and Walter Sextro. “Multilevel Fault Diagnostics for Railway
Applications Using Limited Historical Data.” In PHM Society Asia-Pacific Conference,
Vol. 5, 2025. https://doi.org/10.36001/phmap.2025.v5i1.4449.
ieee: 'O. K. Aimiyekagbon, A. Löwen, R. Hanselle, T. Rief, M. Beck, and W. Sextro,
“Multilevel fault diagnostics for railway applications using limited historical
data,” in PHM Society Asia-Pacific Conference, 2025, vol. 5, doi: 10.36001/phmap.2025.v5i1.4449.'
mla: Aimiyekagbon, Osarenren Kennedy, et al. “Multilevel Fault Diagnostics for Railway
Applications Using Limited Historical Data.” PHM Society Asia-Pacific Conference,
vol. 5, 1, 2025, doi:10.36001/phmap.2025.v5i1.4449.
short: 'O.K. Aimiyekagbon, A. Löwen, R. Hanselle, T. Rief, M. Beck, W. Sextro, in:
PHM Society Asia-Pacific Conference, 2025.'
date_created: 2026-02-27T20:41:54Z
date_updated: 2026-02-27T20:46:44Z
department:
- _id: '151'
doi: 10.36001/phmap.2025.v5i1.4449
intvolume: ' 5'
keyword:
- MONOCAB
- Beijing Data Challenge
- Diagnostics of railway systems
language:
- iso: eng
project:
- _id: '1355'
name: enableATO – Automatisierter Bahnverkehr als Backbone für eine nachhaltige,
vernetzte Mobilität im ländlichen Raum
publication: PHM Society Asia-Pacific Conference
publication_status: published
quality_controlled: '1'
status: public
title: Multilevel fault diagnostics for railway applications using limited historical
data
type: conference
user_id: '9557'
volume: 5
year: '2025'
...
---
_id: '64800'
abstract:
- lang: eng
text: "Intensive ultrasonic cleaning of surfaces by means of a lead-free ultrasonic
transducer with focusing sonotrode\r\nUltrasonic cleaning baths are probably a
coincidental development: After underwater sonars had already been successfully
used to detect submarines before 1920, it was probably observed in this environment
that the ultrasonic oscillators not only showed a self-cleaning effect but also
cavitation damage. At the beginning of the 1950s, the first ultrasonic cleaning
devices finally came onto the market. Today, the range of applications ranges
from household appliances for jewellery and eyewear cleaning to classic cleaning
baths for metal parts and systems for cleaning highly sensitive electronic components.
There is a certain gap in handheld, mobile cleaning equipment. Although devices
for spot cleaning of textiles are known, the cleaning effect is usually low. \r\nDue
to the directive 2011/65/EU on the restriction of the use of hazardous substances
in electrical and electronic equipment (RoHS) [1] lead should no longer be used
in technical devices. As today’s standard ceramics for medium and high-power ultrasonic
transducers typically contain lead, there is a need to explore the use of lead-free
ceramics in this field. Honda [2] already offers a cleaning transducer based on
lead-free piezoelectric ceramics, but it is designed to be used in cleaning baths.\r\nThis
article presents the model-based development of a highly innovative ultrasonic
cleaner. On the one hand, lead-free piezoelectric ceramics are used, and on the
other hand, a special sonotrode has been developed that concentrates the sound
in such a way that a strong cavitation and thus cleaning effect is achieved with
comparatively low power in a short time. Coupled field finite element method was
used to find an appropriate geometry for the focussing sonotrode. The comparison
of simulation and measurement results shows that the lead-free piezoceramics used
do their job well and can keep up with standard ceramics, but more ceramic volume
is needed to achieve same power. An advanced control concept was elaborated to
ensure continuous hard cavitation at varying distances between the sonotrode and
the part to be cleaned. Cleaning results for different surfaces and contaminations
are presented. The concept of the focusing sonotrode shows that a convincing cleaning
result can be achieved even with low power and in short time, provided that the
oscillation system and control electronics are suitably coordinated.\r\n\r\nReferences\r\n[1]
http://data.europa.eu/eli/dir/2011/65/2024-08-01 \r\n[2] https://en.honda-el.co.jp/product/ceramics/lineup/lead_off/lead-off
\r\n"
author:
- first_name: Tobias
full_name: Hemsel, Tobias
id: '210'
last_name: Hemsel
- first_name: Claus
full_name: Scheidemann, Claus
id: '38259'
last_name: Scheidemann
- first_name: Peter
full_name: Bornmann, Peter
last_name: Bornmann
- first_name: Walter
full_name: Littmann, Walter
last_name: Littmann
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Hemsel T, Scheidemann C, Bornmann P, Littmann W, Sextro W. Intensive ultrasonic
cleaning of surfaces by means of lead-free ultrasonic transducer with focussing
sonotrode. In: ; 2025.'
apa: Hemsel, T., Scheidemann, C., Bornmann, P., Littmann, W., & Sextro, W. (2025).
Intensive ultrasonic cleaning of surfaces by means of lead-free ultrasonic
transducer with focussing sonotrode. International Congress on Ultrasonics
(ICU), Paderborn, Germany.
bibtex: '@inproceedings{Hemsel_Scheidemann_Bornmann_Littmann_Sextro_2025, title={Intensive
ultrasonic cleaning of surfaces by means of lead-free ultrasonic transducer with
focussing sonotrode}, author={Hemsel, Tobias and Scheidemann, Claus and Bornmann,
Peter and Littmann, Walter and Sextro, Walter}, year={2025} }'
chicago: Hemsel, Tobias, Claus Scheidemann, Peter Bornmann, Walter Littmann, and
Walter Sextro. “Intensive Ultrasonic Cleaning of Surfaces by Means of Lead-Free
Ultrasonic Transducer with Focussing Sonotrode,” 2025.
ieee: T. Hemsel, C. Scheidemann, P. Bornmann, W. Littmann, and W. Sextro, “Intensive
ultrasonic cleaning of surfaces by means of lead-free ultrasonic transducer with
focussing sonotrode,” presented at the International Congress on Ultrasonics (ICU),
Paderborn, Germany, 2025.
mla: Hemsel, Tobias, et al. Intensive Ultrasonic Cleaning of Surfaces by Means
of Lead-Free Ultrasonic Transducer with Focussing Sonotrode. 2025.
short: 'T. Hemsel, C. Scheidemann, P. Bornmann, W. Littmann, W. Sextro, in: 2025.'
conference:
end_date: 2025-09-25
location: Paderborn, Germany
name: International Congress on Ultrasonics (ICU)
start_date: 2025-09-21
date_created: 2026-03-02T10:47:48Z
date_updated: 2026-03-02T10:58:37Z
ddc:
- '620'
department:
- _id: '151'
file:
- access_level: open_access
content_type: application/pdf
creator: hemsel
date_created: 2026-03-02T10:46:43Z
date_updated: 2026-03-02T10:58:37Z
file_id: '64801'
file_name: ICU_2025_Hemsel.pdf
file_size: 1946202
relation: main_file
file_date_updated: 2026-03-02T10:58:37Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
status: public
title: Intensive ultrasonic cleaning of surfaces by means of lead-free ultrasonic
transducer with focussing sonotrode
type: conference
user_id: '210'
year: '2025'
...
---
_id: '61755'
author:
- first_name: Claus
full_name: Scheidemann, Claus
id: '38259'
last_name: Scheidemann
- first_name: Tobias
full_name: Hemsel, Tobias
id: '210'
last_name: Hemsel
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Scheidemann C, Hemsel T, Sextro W. Time dependent material characteristics
of prestressed piezoelectric ceramics in langevin transducers. In: ; 2025.'
apa: Scheidemann, C., Hemsel, T., & Sextro, W. (2025). Time dependent material
characteristics of prestressed piezoelectric ceramics in langevin transducers.
22nd International Workshop on Piezoelectric Materials and Applications in Actuators
(IWPMA), Vilnius, Lithuania.
bibtex: '@inproceedings{Scheidemann_Hemsel_Sextro_2025, title={Time dependent material
characteristics of prestressed piezoelectric ceramics in langevin transducers},
author={Scheidemann, Claus and Hemsel, Tobias and Sextro, Walter}, year={2025}
}'
chicago: Scheidemann, Claus, Tobias Hemsel, and Walter Sextro. “Time Dependent Material
Characteristics of Prestressed Piezoelectric Ceramics in Langevin Transducers,”
2025.
ieee: C. Scheidemann, T. Hemsel, and W. Sextro, “Time dependent material characteristics
of prestressed piezoelectric ceramics in langevin transducers,” presented at the
22nd International Workshop on Piezoelectric Materials and Applications in Actuators
(IWPMA), Vilnius, Lithuania, 2025.
mla: Scheidemann, Claus, et al. Time Dependent Material Characteristics of Prestressed
Piezoelectric Ceramics in Langevin Transducers. 2025.
short: 'C. Scheidemann, T. Hemsel, W. Sextro, in: 2025.'
conference:
end_date: 2025-07-3
location: Vilnius, Lithuania
name: 22nd International Workshop on Piezoelectric Materials and Applications in
Actuators (IWPMA)
start_date: 2025-07-1
date_created: 2025-10-08T14:22:32Z
date_updated: 2026-03-02T10:59:53Z
ddc:
- '620'
department:
- _id: '151'
file:
- access_level: open_access
content_type: application/pdf
creator: hemsel
date_created: 2026-01-30T11:07:48Z
date_updated: 2026-03-02T10:59:53Z
file_id: '63817'
file_name: SHS25_IWPMA_2025.pdf
file_size: 644147
relation: main_file
file_date_updated: 2026-03-02T10:59:53Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '245'
name: 'FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken
für Leistungsschallanwendungen (NEPTUN)'
status: public
title: Time dependent material characteristics of prestressed piezoelectric ceramics
in langevin transducers
type: conference
user_id: '210'
year: '2025'
...
---
_id: '61757'
author:
- first_name: Claus
full_name: Scheidemann, Claus
id: '38259'
last_name: Scheidemann
- first_name: Julius
full_name: Porzenheim, Julius
last_name: Porzenheim
- first_name: Tobias
full_name: Hemsel, Tobias
id: '210'
last_name: Hemsel
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Scheidemann C, Porzenheim J, Hemsel T, Sextro W. Investigation of the Setting
Behaviour of Mechanically Biased Piezoelectric Ultrasonic Transducers. In: ; 2025.'
apa: Scheidemann, C., Porzenheim, J., Hemsel, T., & Sextro, W. (2025). Investigation
of the Setting Behaviour of Mechanically Biased Piezoelectric Ultrasonic Transducers.
2025 International Congress on Ultrasonics (ICU), Paderborn, Germany.
bibtex: '@inproceedings{Scheidemann_Porzenheim_Hemsel_Sextro_2025, title={Investigation
of the Setting Behaviour of Mechanically Biased Piezoelectric Ultrasonic Transducers},
author={Scheidemann, Claus and Porzenheim, Julius and Hemsel, Tobias and Sextro,
Walter}, year={2025} }'
chicago: Scheidemann, Claus, Julius Porzenheim, Tobias Hemsel, and Walter Sextro.
“Investigation of the Setting Behaviour of Mechanically Biased Piezoelectric Ultrasonic
Transducers,” 2025.
ieee: C. Scheidemann, J. Porzenheim, T. Hemsel, and W. Sextro, “Investigation of
the Setting Behaviour of Mechanically Biased Piezoelectric Ultrasonic Transducers,”
presented at the 2025 International Congress on Ultrasonics (ICU), Paderborn,
Germany, 2025.
mla: Scheidemann, Claus, et al. Investigation of the Setting Behaviour of Mechanically
Biased Piezoelectric Ultrasonic Transducers. 2025.
short: 'C. Scheidemann, J. Porzenheim, T. Hemsel, W. Sextro, in: 2025.'
conference:
end_date: 2025-09-25
location: Paderborn, Germany
name: 2025 International Congress on Ultrasonics (ICU)
start_date: 2025-09-21
date_created: 2025-10-08T14:33:44Z
date_updated: 2026-03-02T10:59:36Z
ddc:
- '620'
department:
- _id: '151'
file:
- access_level: open_access
content_type: application/pdf
creator: hemsel
date_created: 2026-01-30T07:30:44Z
date_updated: 2026-03-02T10:59:36Z
file_id: '63816'
file_name: Sch25_ICU_2025.pdf
file_size: 783790
relation: main_file
file_date_updated: 2026-03-02T10:59:36Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
project:
- _id: '245'
name: 'FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken
für Leistungsschallanwendungen (NEPTUN)'
status: public
title: Investigation of the Setting Behaviour of Mechanically Biased Piezoelectric
Ultrasonic Transducers
type: conference
user_id: '210'
year: '2025'
...
---
_id: '57829'
abstract:
- lang: eng
text: 'Artificial intelligence (AI) is driving transformative changes across numerous
fields, revolutionizing conventional processes and creating new opportunities
for innovation. The development of mechatronic systems is undergoing a similar
transformation. Over the past decade, modeling, simulation, and optimization techniques
have become integral to the design process, paving the way for the adoption of
AI-based methods. In this paper, we examine the potential for integrating AI into
the engineering design process, using the V-model from the VDI guideline 2206,
considered the state-of-the-art in product design, as a foundation. We identify
and classify AI methods based on their suitability for specific stages within
the engineering product design workflow. Furthermore, we present a series of application
examples where AI-assisted design has been successfully implemented by the authors.
These examples, drawn from research projects within the DFG Priority Program \emph{SPP~2353:
Daring More Intelligence - Design Assistants in Mechanics and Dynamics}, showcase
a diverse range of applications across mechanics and mechatronics, including areas
such as acoustics and robotics.'
author:
- first_name: Kristin M.
full_name: de Payrebrune, Kristin M.
last_name: de Payrebrune
- first_name: Kathrin
full_name: Flaßkamp, Kathrin
last_name: Flaßkamp
- first_name: Tom
full_name: Ströhla, Tom
last_name: Ströhla
- first_name: Thomas
full_name: Sattel, Thomas
last_name: Sattel
- first_name: Dieter
full_name: Bestle, Dieter
last_name: Bestle
- first_name: Benedict
full_name: Röder, Benedict
last_name: Röder
- first_name: Peter
full_name: Eberhard, Peter
last_name: Eberhard
- first_name: Sebastian
full_name: Peitz, Sebastian
last_name: Peitz
- first_name: Marcus
full_name: Stoffel, Marcus
last_name: Stoffel
- first_name: Gulakala
full_name: Rutwik, Gulakala
last_name: Rutwik
- first_name: Borse
full_name: Aditya, Borse
last_name: Aditya
- first_name: Meike Claudia
full_name: Wohlleben, Meike Claudia
id: '43991'
last_name: Wohlleben
orcid: 0009-0009-9767-7168
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: Maximilian
full_name: Raff, Maximilian
last_name: Raff
- first_name: C. David
full_name: Remy, C. David
last_name: Remy
- first_name: Manish
full_name: Yadav, Manish
last_name: Yadav
- first_name: Merten
full_name: Stender, Merten
last_name: Stender
- first_name: Jan
full_name: van Delden, Jan
last_name: van Delden
- first_name: Timo
full_name: Lüddecke, Timo
last_name: Lüddecke
- first_name: Sabine C.
full_name: Langer, Sabine C.
last_name: Langer
- first_name: Julius
full_name: Schultz, Julius
last_name: Schultz
- first_name: Christopher
full_name: Blech, Christopher
last_name: Blech
citation:
ama: de Payrebrune KM, Flaßkamp K, Ströhla T, et al. The impact of AI on engineering
design procedures for dynamical systems. Technische Mechanik - European Journal
of Engineering Mechanics. 2025;45(1):1-23. doi:10.24352/UB.OVGU-2025-037
apa: de Payrebrune, K. M., Flaßkamp, K., Ströhla, T., Sattel, T., Bestle, D., Röder,
B., Eberhard, P., Peitz, S., Stoffel, M., Rutwik, G., Aditya, B., Wohlleben, M.
C., Sextro, W., Raff, M., Remy, C. D., Yadav, M., Stender, M., van Delden, J.,
Lüddecke, T., … Blech, C. (2025). The impact of AI on engineering design procedures
for dynamical systems. Technische Mechanik - European Journal of Engineering
Mechanics, 45(1), 1–23. https://doi.org/10.24352/UB.OVGU-2025-037
bibtex: '@article{de Payrebrune_Flaßkamp_Ströhla_Sattel_Bestle_Röder_Eberhard_Peitz_Stoffel_Rutwik_et
al._2025, title={The impact of AI on engineering design procedures for dynamical
systems}, volume={45}, DOI={10.24352/UB.OVGU-2025-037},
number={1}, journal={Technische Mechanik - European Journal of Engineering Mechanics},
author={de Payrebrune, Kristin M. and Flaßkamp, Kathrin and Ströhla, Tom and Sattel,
Thomas and Bestle, Dieter and Röder, Benedict and Eberhard, Peter and Peitz, Sebastian
and Stoffel, Marcus and Rutwik, Gulakala and et al.}, year={2025}, pages={1–23}
}'
chicago: 'Payrebrune, Kristin M. de, Kathrin Flaßkamp, Tom Ströhla, Thomas Sattel,
Dieter Bestle, Benedict Röder, Peter Eberhard, et al. “The Impact of AI on Engineering
Design Procedures for Dynamical Systems.” Technische Mechanik - European Journal
of Engineering Mechanics 45, no. 1 (2025): 1–23. https://doi.org/10.24352/UB.OVGU-2025-037.'
ieee: 'K. M. de Payrebrune et al., “The impact of AI on engineering design
procedures for dynamical systems,” Technische Mechanik - European Journal of
Engineering Mechanics, vol. 45, no. 1, pp. 1–23, 2025, doi: 10.24352/UB.OVGU-2025-037.'
mla: de Payrebrune, Kristin M., et al. “The Impact of AI on Engineering Design Procedures
for Dynamical Systems.” Technische Mechanik - European Journal of Engineering
Mechanics, vol. 45, no. 1, 2025, pp. 1–23, doi:10.24352/UB.OVGU-2025-037.
short: K.M. de Payrebrune, K. Flaßkamp, T. Ströhla, T. Sattel, D. Bestle, B. Röder,
P. Eberhard, S. Peitz, M. Stoffel, G. Rutwik, B. Aditya, M.C. Wohlleben, W. Sextro,
M. Raff, C.D. Remy, M. Yadav, M. Stender, J. van Delden, T. Lüddecke, S.C. Langer,
J. Schultz, C. Blech, Technische Mechanik - European Journal of Engineering Mechanics
45 (2025) 1–23.
date_created: 2024-12-18T09:07:41Z
date_updated: 2026-03-03T06:31:55Z
doi: 10.24352/UB.OVGU-2025-037
intvolume: ' 45'
issue: '1'
language:
- iso: eng
page: 1-23
publication: Technische Mechanik - European Journal of Engineering Mechanics
quality_controlled: '1'
status: public
title: The impact of AI on engineering design procedures for dynamical systems
type: journal_article
user_id: '43991'
volume: 45
year: '2025'
...
---
_id: '62988'
author:
- first_name: Augustina C.
full_name: Amakor, Augustina C.
last_name: Amakor
- first_name: Manuel B.
full_name: Berkemeier, Manuel B.
last_name: Berkemeier
- first_name: Meike Claudia
full_name: Wohlleben, Meike Claudia
id: '43991'
last_name: Wohlleben
orcid: 0009-0009-9767-7168
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: Sebastian
full_name: Peitz, Sebastian
last_name: Peitz
citation:
ama: 'Amakor AC, Berkemeier MB, Wohlleben MC, Sextro W, Peitz S. Surrogate-Assisted
Multi-objective Design of Complex Multibody Systems. In: Lecture Notes in Computer
Science. Springer Nature Switzerland; 2025. doi:10.1007/978-3-032-04555-3_21'
apa: Amakor, A. C., Berkemeier, M. B., Wohlleben, M. C., Sextro, W., & Peitz,
S. (2025). Surrogate-Assisted Multi-objective Design of Complex Multibody Systems.
In Lecture Notes in Computer Science. Springer Nature Switzerland. https://doi.org/10.1007/978-3-032-04555-3_21
bibtex: '@inbook{Amakor_Berkemeier_Wohlleben_Sextro_Peitz_2025, place={Cham}, title={Surrogate-Assisted
Multi-objective Design of Complex Multibody Systems}, DOI={10.1007/978-3-032-04555-3_21},
booktitle={Lecture Notes in Computer Science}, publisher={Springer Nature Switzerland},
author={Amakor, Augustina C. and Berkemeier, Manuel B. and Wohlleben, Meike Claudia
and Sextro, Walter and Peitz, Sebastian}, year={2025} }'
chicago: 'Amakor, Augustina C., Manuel B. Berkemeier, Meike Claudia Wohlleben, Walter
Sextro, and Sebastian Peitz. “Surrogate-Assisted Multi-Objective Design of Complex
Multibody Systems.” In Lecture Notes in Computer Science. Cham: Springer
Nature Switzerland, 2025. https://doi.org/10.1007/978-3-032-04555-3_21.'
ieee: 'A. C. Amakor, M. B. Berkemeier, M. C. Wohlleben, W. Sextro, and S. Peitz,
“Surrogate-Assisted Multi-objective Design of Complex Multibody Systems,” in Lecture
Notes in Computer Science, Cham: Springer Nature Switzerland, 2025.'
mla: Amakor, Augustina C., et al. “Surrogate-Assisted Multi-Objective Design of Complex
Multibody Systems.” Lecture Notes in Computer Science, Springer Nature
Switzerland, 2025, doi:10.1007/978-3-032-04555-3_21.
short: 'A.C. Amakor, M.B. Berkemeier, M.C. Wohlleben, W. Sextro, S. Peitz, in: Lecture
Notes in Computer Science, Springer Nature Switzerland, Cham, 2025.'
date_created: 2025-12-09T12:46:17Z
date_updated: 2026-03-03T06:32:10Z
department:
- _id: '151'
doi: 10.1007/978-3-032-04555-3_21
language:
- iso: eng
place: Cham
publication: Lecture Notes in Computer Science
publication_identifier:
isbn:
- '9783032045546'
- '9783032045553'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer Nature Switzerland
quality_controlled: '1'
status: public
title: Surrogate-Assisted Multi-objective Design of Complex Multibody Systems
type: book_chapter
user_id: '43991'
year: '2025'
...
---
_id: '64804'
abstract:
- lang: ger
text: "Das Ultraschallschweißen ist in der Verpackungs-, Halbleiter- und Automobilindustrie
weit verbreitet. Neben dem Schweißen von Blechen bietet es die Möglichkeit, Folien
oder Hülsen zu verschweißen. Konventionelle Schweißsysteme arbeiten mit Längs-
oder Biegeschwingungen, deren Hauptanteil in der Schweißebene liegt. Der orthogonale
Anteil verursacht zusätzliche Belastungen im Schweißgut. Bei der Verwendung von
Torsionsschwingungen wird die orthogonale Komponente der Schwingung nahezu eliminiert.
\r\nIn diesem Beitrag wird ein System vorgestellt, bei dem die Torsionsschwingung
durch tangentiale Polarisation der Piezokeramiken erzeugt wird. Der Transducer
ist axial oberhalb des Schweißpunktes platziert, sodass die Normalkraft momentfrei
aufgebracht wird. Das Schweißwerkzeug weicht beim Schweißvorgang daher seitlich
nicht aus. Zudem wird das Schweißen an schwer zugänglichen Positionen vereinfacht,
da der Systemaufbau deutlich schlanker ist als konventionelle Ultraschallschweißsysteme.\r\nDie
Auslegung des Torsionsschwingsystems stellt eine Herausforderung dar. Insbesondere
muss die Lagerung des Schwingers betrachtet werden, da diese die Normalkraft übertragen
und zugleich die Schwingung nicht beeinträchtigen soll. Der Schweißprozess bewirkt
eine Verschiebung von Schwingungsknoten und Resonanzfrequenzen. Im Rahmen des
Vortrags wird ein Finite-Elemente-Simulationsmodell vorgestellt, das in Kombination
mit einem Lastmodell das Systemverhalten während des Schweißprozesses abbildet.
Die Geometrie des Transducers wurde schrittweise so angepasst, dass die Schwingamplitude
im Lagerungspunkt minimiert wird. \r\n"
author:
- first_name: Markus Daniel
full_name: Dohmen, Markus Daniel
id: '69217'
last_name: Dohmen
- first_name: Peter
full_name: Bornmann, Peter
last_name: Bornmann
- first_name: Walter
full_name: Littmann, Walter
last_name: Littmann
- first_name: Tobias
full_name: Hemsel, Tobias
id: '210'
last_name: Hemsel
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Dohmen MD, Bornmann P, Littmann W, Hemsel T, Sextro W. Modellgestützte Optimierung
eines Ultraschall-Torsionsschweißsystems. In: ; 2025.'
apa: Dohmen, M. D., Bornmann, P., Littmann, W., Hemsel, T., & Sextro, W. (2025).
Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems.
bibtex: '@inproceedings{Dohmen_Bornmann_Littmann_Hemsel_Sextro_2025, title={Modellgestützte
Optimierung eines Ultraschall-Torsionsschweißsystems}, author={Dohmen, Markus
Daniel and Bornmann, Peter and Littmann, Walter and Hemsel, Tobias and Sextro,
Walter}, year={2025} }'
chicago: Dohmen, Markus Daniel, Peter Bornmann, Walter Littmann, Tobias Hemsel,
and Walter Sextro. “Modellgestützte Optimierung Eines Ultraschall-Torsionsschweißsystems,”
2025.
ieee: M. D. Dohmen, P. Bornmann, W. Littmann, T. Hemsel, and W. Sextro, “Modellgestützte
Optimierung eines Ultraschall-Torsionsschweißsystems,” 2025.
mla: Dohmen, Markus Daniel, et al. Modellgestützte Optimierung Eines Ultraschall-Torsionsschweißsystems.
2025.
short: 'M.D. Dohmen, P. Bornmann, W. Littmann, T. Hemsel, W. Sextro, in: 2025.'
date_created: 2026-03-02T12:02:08Z
date_updated: 2026-03-03T13:57:25Z
ddc:
- '620'
department:
- _id: '151'
file:
- access_level: closed
content_type: application/pdf
creator: hemsel
date_created: 2026-03-02T12:01:28Z
date_updated: 2026-03-02T12:01:28Z
file_id: '64805'
file_name: Dohmen_UPB_LDM_IMAPS_2025.pdf
file_size: 1912154
relation: main_file
success: 1
file_date_updated: 2026-03-02T12:01:28Z
has_accepted_license: '1'
language:
- iso: eng
status: public
title: Modellgestützte Optimierung eines Ultraschall-Torsionsschweißsystems
type: conference
user_id: '210'
year: '2025'
...
---
_id: '58556'
abstract:
- lang: eng
text: 'To predict and prevent uneven tire wear in addition to a reduction of overall
tire wear, it is essential to estimate not only the total amount of wear but also
how the wear is distributed across the tire width. This requires knowledge of
the frictional power distribution in the tire contact patch, which is the basis
for calculating tire wear using a wear law. Usually, only 3D structural tire models
can generate such distributed contact results. However, they involve high computational
costs and cannot be used for comprehensive optimization of a vehicle’s suspension
system with respect to tire wear characteristics. Hence, this contribution presents
a methodology on how to accelerate the prediction of the frictional power distribution
using two components: The structural tire model is replaced by an empirical tire
model that on its own is not able to generate distributed contact results. Therefore,
an artificial neural network is trained to predict the desired contact results
from the kinematic quantities calculated by the empirical tire model. In the initial
training phase, both components are fitted to data generated by the original complex
tire model. After training, the empirical tire model can replace the structural
tire model in vehicle simulations, resulting in significantly shorter calculation
times. The simulation results are fed into the artificial neural network, which
predicts the frictional power distributions over the tire width with negligible
additional effort. Overall, the methodology reduces calculation time for the prediction
of tire wear based on virtual test drives to approximately 25% of the time needed
when using structural tire models.'
article_type: original
author:
- first_name: Lars
full_name: Muth, Lars
id: '77313'
last_name: Muth
orcid: 0000-0002-2938-5616
- first_name: Raphael
full_name: Zharia, Raphael
last_name: Zharia
- first_name: Hürkan
full_name: Sahin, Hürkan
last_name: Sahin
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: Muth L, Zharia R, Sahin H, Sextro W. Prediction of the Frictional Power Distribution
in the Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural
Network. Tire Science and Technology. Published online 2025. doi:https://doi.org/10.2346/TST-24-009
apa: Muth, L., Zharia, R., Sahin, H., & Sextro, W. (2025). Prediction of the
Frictional Power Distribution in the Tire Contact Patch Based on an Empirical
Tire Model and an Artificial Neural Network. Tire Science and Technology.
https://doi.org/10.2346/TST-24-009
bibtex: '@article{Muth_Zharia_Sahin_Sextro_2025, title={Prediction of the Frictional
Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model
and an Artificial Neural Network}, DOI={https://doi.org/10.2346/TST-24-009},
journal={Tire Science and Technology}, publisher={The Tire Society}, author={Muth,
Lars and Zharia, Raphael and Sahin, Hürkan and Sextro, Walter}, year={2025} }'
chicago: Muth, Lars, Raphael Zharia, Hürkan Sahin, and Walter Sextro. “Prediction
of the Frictional Power Distribution in the Tire Contact Patch Based on an Empirical
Tire Model and an Artificial Neural Network.” Tire Science and Technology,
2025. https://doi.org/10.2346/TST-24-009.
ieee: 'L. Muth, R. Zharia, H. Sahin, and W. Sextro, “Prediction of the Frictional
Power Distribution in the Tire Contact Patch Based on an Empirical Tire Model
and an Artificial Neural Network,” Tire Science and Technology, 2025, doi:
https://doi.org/10.2346/TST-24-009.'
mla: Muth, Lars, et al. “Prediction of the Frictional Power Distribution in the
Tire Contact Patch Based on an Empirical Tire Model and an Artificial Neural Network.”
Tire Science and Technology, The Tire Society, 2025, doi:https://doi.org/10.2346/TST-24-009.
short: L. Muth, R. Zharia, H. Sahin, W. Sextro, Tire Science and Technology (2025).
date_created: 2025-02-10T19:54:28Z
date_updated: 2025-02-27T19:53:09Z
department:
- _id: '151'
- _id: '9'
doi: https://doi.org/10.2346/TST-24-009
extern: '1'
language:
- iso: eng
publication: Tire Science and Technology
publication_status: epub_ahead
publisher: The Tire Society
quality_controlled: '1'
status: public
title: Prediction of the Frictional Power Distribution in the Tire Contact Patch Based
on an Empirical Tire Model and an Artificial Neural Network
type: journal_article
user_id: '77313'
year: '2025'
...
---
_id: '60881'
abstract:
- lang: eng
text: Hybrid modeling aims to combine physical and data-driven models to
increase simulation accuracy without losing physical interpretability. In the
context of dynamic mechanical systems, this enables the compensation of modeling
inaccuracies that arise from simplifications, missing effects, or uncertain parameters.
In this work, a hybrid model is used as a starting point, in which the discrepancy
between simulation and measurement is learned and compensated by a data-driven
correction element. To integrate such models into commercial multibody system
(MBS) software like MSC Adams and Simpack, the formulation is adapted to operate
directly on the force level. This allows implementation via standard co-simulation
interfaces without modifying the system’s differential equations or solvers. The
method is demonstrated using a single-mass oscillator with synthetic measurement
data. Results show that the coupled simulation works reliably and that the hybrid
model significantly improves accuracy while remaining compatible with established
industrial simulation workflows.
author:
- first_name: Meike Claudia
full_name: Wohlleben, Meike Claudia
id: '43991'
last_name: Wohlleben
orcid: 0009-0009-9767-7168
- first_name: Jill Mercedes
full_name: Linneweber, Jill Mercedes
id: '57639'
last_name: Linneweber
- first_name: Jan
full_name: Schütte, Jan
id: '22109'
last_name: Schütte
orcid: 0000-0001-9025-9742
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Wohlleben MC, Linneweber JM, Schütte J, Sextro W. Enabling Hybrid Modeling
in Commercial MBS Software: A Force-Level Approach. Published online 2025.'
apa: 'Wohlleben, M. C., Linneweber, J. M., Schütte, J., & Sextro, W. (2025).
Enabling Hybrid Modeling in Commercial MBS Software: A Force-Level Approach.
MDPI AG.'
bibtex: '@article{Wohlleben_Linneweber_Schütte_Sextro_2025, title={Enabling Hybrid
Modeling in Commercial MBS Software: A Force-Level Approach}, publisher={MDPI
AG}, author={Wohlleben, Meike Claudia and Linneweber, Jill Mercedes and Schütte,
Jan and Sextro, Walter}, year={2025} }'
chicago: 'Wohlleben, Meike Claudia, Jill Mercedes Linneweber, Jan Schütte, and Walter
Sextro. “Enabling Hybrid Modeling in Commercial MBS Software: A Force-Level Approach.”
MDPI AG, 2025.'
ieee: 'M. C. Wohlleben, J. M. Linneweber, J. Schütte, and W. Sextro, “Enabling Hybrid
Modeling in Commercial MBS Software: A Force-Level Approach.” MDPI AG, 2025.'
mla: 'Wohlleben, Meike Claudia, et al. Enabling Hybrid Modeling in Commercial
MBS Software: A Force-Level Approach. MDPI AG, 2025.'
short: M.C. Wohlleben, J.M. Linneweber, J. Schütte, W. Sextro, (2025).
date_created: 2025-08-06T06:42:30Z
date_updated: 2025-08-07T06:47:23Z
language:
- iso: eng
publication_status: published
publisher: MDPI AG
status: public
title: 'Enabling Hybrid Modeling in Commercial MBS Software: A Force-Level Approach'
type: preprint
user_id: '43991'
year: '2025'
...
---
_id: '63193'
abstract:
- lang: eng
text: The integration of data-driven models and specifically machine learning for
conditon monitoring and predictive maintenance into companies, especially small
and medium-sized enterprises, offers significant opportunities in reducing costs,
operating more sustainably, and maintaining long-term competitiveness. However,
many small and medium-sized enterprises lack the necessary resources and expertise
to derive knowledge from data and integrate their own machine learning based solutions.
To address this challenge, a framework is presented that enables the automated
generation of data-driven models with a particular focus on condition monitoring
and predictive maintenance, but applicable to other use cases as well. Using a
dataset from the 2022 data challenge of the prognostics and health management
society, it is demonstrated that the framework can generate high-performing models,
achieving F1-scores up to 0.998, exemplarily for a classification task.
author:
- first_name: Alexander
full_name: Löwen, Alexander
id: '47233'
last_name: Löwen
- first_name: Dennis
full_name: Quirin, Dennis
last_name: Quirin
- first_name: Marc
full_name: Hesse, Marc
last_name: Hesse
- first_name: Osarenren Kennedy
full_name: Aimiyekagbon, Osarenren Kennedy
id: '9557'
last_name: Aimiyekagbon
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Löwen A, Quirin D, Hesse M, Aimiyekagbon OK, Sextro W. Facilitating the Automated
Generation of Data-Driven Models for the Diagnostics and Prognostics of Technical
Systems. In: 2025 IEEE 30th International Conference on Emerging Technologies
and Factory Automation (ETFA). IEEE; 2025. doi:10.1109/etfa65518.2025.11205799'
apa: Löwen, A., Quirin, D., Hesse, M., Aimiyekagbon, O. K., & Sextro, W. (2025).
Facilitating the Automated Generation of Data-Driven Models for the Diagnostics
and Prognostics of Technical Systems. 2025 IEEE 30th International Conference
on Emerging Technologies and Factory Automation (ETFA). 2025 IEEE 30th International
Conference on Emerging Technologies and Factory Automation (ETFA), Porto. https://doi.org/10.1109/etfa65518.2025.11205799
bibtex: '@inproceedings{Löwen_Quirin_Hesse_Aimiyekagbon_Sextro_2025, title={Facilitating
the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics
of Technical Systems}, DOI={10.1109/etfa65518.2025.11205799},
booktitle={2025 IEEE 30th International Conference on Emerging Technologies and
Factory Automation (ETFA)}, publisher={IEEE}, author={Löwen, Alexander and Quirin,
Dennis and Hesse, Marc and Aimiyekagbon, Osarenren Kennedy and Sextro, Walter},
year={2025} }'
chicago: Löwen, Alexander, Dennis Quirin, Marc Hesse, Osarenren Kennedy Aimiyekagbon,
and Walter Sextro. “Facilitating the Automated Generation of Data-Driven Models
for the Diagnostics and Prognostics of Technical Systems.” In 2025 IEEE 30th
International Conference on Emerging Technologies and Factory Automation (ETFA).
IEEE, 2025. https://doi.org/10.1109/etfa65518.2025.11205799.
ieee: 'A. Löwen, D. Quirin, M. Hesse, O. K. Aimiyekagbon, and W. Sextro, “Facilitating
the Automated Generation of Data-Driven Models for the Diagnostics and Prognostics
of Technical Systems,” presented at the 2025 IEEE 30th International Conference
on Emerging Technologies and Factory Automation (ETFA), Porto, 2025, doi: 10.1109/etfa65518.2025.11205799.'
mla: Löwen, Alexander, et al. “Facilitating the Automated Generation of Data-Driven
Models for the Diagnostics and Prognostics of Technical Systems.” 2025 IEEE
30th International Conference on Emerging Technologies and Factory Automation
(ETFA), IEEE, 2025, doi:10.1109/etfa65518.2025.11205799.
short: 'A. Löwen, D. Quirin, M. Hesse, O.K. Aimiyekagbon, W. Sextro, in: 2025 IEEE
30th International Conference on Emerging Technologies and Factory Automation
(ETFA), IEEE, 2025.'
conference:
location: Porto
name: 2025 IEEE 30th International Conference on Emerging Technologies and Factory
Automation (ETFA)
date_created: 2025-12-18T09:07:38Z
date_updated: 2025-12-18T09:12:48Z
department:
- _id: '151'
doi: 10.1109/etfa65518.2025.11205799
language:
- iso: eng
project:
- _id: '1483'
name: Industrie 4.0 Ökosystem für den automatisierten Einsatz von datengetriebenen
Services (I4.0AutoServ)
publication: 2025 IEEE 30th International Conference on Emerging Technologies and
Factory Automation (ETFA)
publication_status: published
publisher: IEEE
related_material:
link:
- relation: confirmation
url: https://ieeexplore.ieee.org/document/11205799
status: public
title: Facilitating the Automated Generation of Data-Driven Models for the Diagnostics
and Prognostics of Technical Systems
type: conference
user_id: '47233'
year: '2025'
...
---
_id: '51518'
abstract:
- lang: eng
text: In applications of piezoelectric actuators and sensors, the dependability
and particularly the reliability throughout their lifetime are vital to manufacturers
and end-users and are enabled through condition-monitoring approaches. Existing
approaches often utilize impedance measurements over a range of frequencies or
velocity measurements and require additional equipment or sensors, such as a laser
Doppler vibrometer. Furthermore, the non-negligible effects of varying operating
conditions are often unconsidered. To minimize the need for additional sensors
while maintaining the dependability of piezoelectric bending actuators irrespective
of varying operating conditions, an online diagnostics approach is proposed. To
this end, time- and frequency-domain features are extracted from monitored current
signals to reflect hairline crack development in bending actuators. For validation
of applicability, the presented analysis method was evaluated on piezoelectric
bending actuators subjected to accelerated lifetime tests at varying voltage amplitudes
and under external damping conditions. In the presence of a crack and due to a
diminished stiffness, the resonance frequency decreases and the root-mean-square
amplitude of the current signal simultaneously abruptly drops during the lifetime
tests. Furthermore, the piezoelectric crack surfaces clapping is reflected in
higher harmonics of the current signal. Thus, time-domain features and harmonics
of the current signals are sufficient to diagnose hairline cracks in the actuators.
article_number: '521'
article_type: original
author:
- first_name: Osarenren Kennedy
full_name: Aimiyekagbon, Osarenren Kennedy
id: '9557'
last_name: Aimiyekagbon
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: Tobias
full_name: Hemsel, Tobias
id: '210'
last_name: Hemsel
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: Aimiyekagbon OK, Bender A, Hemsel T, Sextro W. Diagnostics of Piezoelectric
Bending Actuators Subjected to Varying Operating Conditions. Electronics.
2024;13(3). doi:10.3390/electronics13030521
apa: Aimiyekagbon, O. K., Bender, A., Hemsel, T., & Sextro, W. (2024). Diagnostics
of Piezoelectric Bending Actuators Subjected to Varying Operating Conditions.
Electronics, 13(3), Article 521. https://doi.org/10.3390/electronics13030521
bibtex: '@article{Aimiyekagbon_Bender_Hemsel_Sextro_2024, title={Diagnostics of
Piezoelectric Bending Actuators Subjected to Varying Operating Conditions}, volume={13},
DOI={10.3390/electronics13030521},
number={3521}, journal={Electronics}, publisher={MDPI AG}, author={Aimiyekagbon,
Osarenren Kennedy and Bender, Amelie and Hemsel, Tobias and Sextro, Walter}, year={2024}
}'
chicago: Aimiyekagbon, Osarenren Kennedy, Amelie Bender, Tobias Hemsel, and Walter
Sextro. “Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating
Conditions.” Electronics 13, no. 3 (2024). https://doi.org/10.3390/electronics13030521.
ieee: 'O. K. Aimiyekagbon, A. Bender, T. Hemsel, and W. Sextro, “Diagnostics of
Piezoelectric Bending Actuators Subjected to Varying Operating Conditions,” Electronics,
vol. 13, no. 3, Art. no. 521, 2024, doi: 10.3390/electronics13030521.'
mla: Aimiyekagbon, Osarenren Kennedy, et al. “Diagnostics of Piezoelectric Bending
Actuators Subjected to Varying Operating Conditions.” Electronics, vol.
13, no. 3, 521, MDPI AG, 2024, doi:10.3390/electronics13030521.
short: O.K. Aimiyekagbon, A. Bender, T. Hemsel, W. Sextro, Electronics 13 (2024).
date_created: 2024-02-20T06:46:43Z
date_updated: 2024-03-15T16:15:56Z
department:
- _id: '151'
doi: 10.3390/electronics13030521
funded_apc: '1'
intvolume: ' 13'
issue: '3'
keyword:
- piezoelectric transducer
- self-sensing
- fault detection
- diagnostics
- hairline crack
- condition monitoring
language:
- iso: eng
publication: Electronics
publication_identifier:
issn:
- 2079-9292
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Diagnostics of Piezoelectric Bending Actuators Subjected to Varying Operating
Conditions
type: journal_article
user_id: '9557'
volume: 13
year: '2024'
...
---
_id: '55336'
abstract:
- lang: eng
text: "Predicting the remaining useful life of technical \r\nsystems has gained
significant attention in recent years due to \r\nincreasing demands for extending
the lifespan of degrading system \r\ncomponents. Therefore, already used systems
are retrofitted by \r\nintegrating sensors to monitor their performance and \r\nfunctionality,
enabling accurate diagnosis of their condition and \r\nprediction of their remaining
useful life. One of the main \r\nchallenges in this field is identified in the
missing data from the \r\ntime where the retrofitted system has already run but
without \r\nbeing monitored by sensors. In this paper, a novel approach for \r\nthe
combined diagnostics and prognostics of retrofitted systems is \r\nproposed. The
methodology aims to provide an accurate diagnosis \r\nof the system’s health state
and estimation of the remaining useful \r\nlife by a combination of a machine
learning and expert knowledge. \r\nTo evaluate the effectiveness of the proposed
methodology, a case \r\nstudy involving a retrofitted system in an industrial
setting is \r\nselected and applied. It is demonstrated that the approach \r\neffectively
diagnose the current system’s health state and \r\naccurately predict its remaining
useful life, thereby enabling \r\npredictive maintenance and decision-making.
Overall, our \r\nresearch contributes to advancing the field of condition \r\nmonitoring
for retrofitted systems by providing a comprehensive \r\nmethodology that addresses
the challenge of missing data."
author:
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: Osarenren Kennedy
full_name: Aimiyekagbon, Osarenren Kennedy
id: '9557'
last_name: Aimiyekagbon
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Bender A, Aimiyekagbon OK, Sextro W. Diagnostics and Prognostics for Retrofitted
Systems: A Comprehensive Approach for Enhanced System Health Assessment. In: Proceedings
of the 2024 Prognostics and System Health Management Conference (PHM). IEEE
Computer Society; 2024. doi:10.1109/PHM61473.2024.00038'
apa: 'Bender, A., Aimiyekagbon, O. K., & Sextro, W. (2024). Diagnostics and
Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System
Health Assessment. Proceedings of the 2024 Prognostics and System Health Management
Conference (PHM). 2024 Prognostics and System Health Management Conference
(PHM), Stockholm, Schweden. https://doi.org/10.1109/PHM61473.2024.00038'
bibtex: '@inproceedings{Bender_Aimiyekagbon_Sextro_2024, title={Diagnostics and
Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced System
Health Assessment}, DOI={10.1109/PHM61473.2024.00038},
booktitle={Proceedings of the 2024 Prognostics and System Health Management Conference
(PHM)}, publisher={IEEE Computer Society}, author={Bender, Amelie and Aimiyekagbon,
Osarenren Kennedy and Sextro, Walter}, year={2024} }'
chicago: 'Bender, Amelie, Osarenren Kennedy Aimiyekagbon, and Walter Sextro. “Diagnostics
and Prognostics for Retrofitted Systems: A Comprehensive Approach for Enhanced
System Health Assessment.” In Proceedings of the 2024 Prognostics and System
Health Management Conference (PHM). IEEE Computer Society, 2024. https://doi.org/10.1109/PHM61473.2024.00038.'
ieee: 'A. Bender, O. K. Aimiyekagbon, and W. Sextro, “Diagnostics and Prognostics
for Retrofitted Systems: A Comprehensive Approach for Enhanced System Health Assessment,”
presented at the 2024 Prognostics and System Health Management Conference (PHM),
Stockholm, Schweden, 2024, doi: 10.1109/PHM61473.2024.00038.'
mla: 'Bender, Amelie, et al. “Diagnostics and Prognostics for Retrofitted Systems:
A Comprehensive Approach for Enhanced System Health Assessment.” Proceedings
of the 2024 Prognostics and System Health Management Conference (PHM), IEEE
Computer Society, 2024, doi:10.1109/PHM61473.2024.00038.'
short: 'A. Bender, O.K. Aimiyekagbon, W. Sextro, in: Proceedings of the 2024 Prognostics
and System Health Management Conference (PHM), IEEE Computer Society, 2024.'
conference:
end_date: 2024-05-31
location: Stockholm, Schweden
name: 2024 Prognostics and System Health Management Conference (PHM)
start_date: 2024-05-28
date_created: 2024-07-22T09:27:57Z
date_updated: 2024-07-22T09:29:26Z
department:
- _id: '151'
doi: 10.1109/PHM61473.2024.00038
keyword:
- retrofit
- diagnosis
- prognostics
- RUL prediction
- missing data
- ball bearings
language:
- iso: eng
publication: Proceedings of the 2024 Prognostics and System Health Management Conference
(PHM)
publication_identifier:
isbn:
- 979-8-3503-6058-5
publisher: IEEE Computer Society
quality_controlled: '1'
status: public
title: 'Diagnostics and Prognostics for Retrofitted Systems: A Comprehensive Approach
for Enhanced System Health Assessment'
type: conference
user_id: '54290'
year: '2024'
...
---
_id: '56862'
author:
- first_name: Magnus
full_name: Redeker, Magnus
last_name: Redeker
- first_name: Dennis
full_name: Quirin, Dennis
last_name: Quirin
- first_name: Rafael
full_name: Schroeder, Rafael
last_name: Schroeder
- first_name: Tobias
full_name: Klausmann, Tobias
last_name: Klausmann
- first_name: Alexander
full_name: Löwen, Alexander
id: '47233'
last_name: Löwen
- first_name: Alexander
full_name: Wollbrink, Alexander
last_name: Wollbrink
- first_name: Heiko
full_name: Stichweh, Heiko
last_name: Stichweh
- first_name: Simon
full_name: Althoff, Simon
last_name: Althoff
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: Marc
full_name: Hesse, Marc
last_name: Hesse
citation:
ama: 'Redeker M, Quirin D, Schroeder R, et al. Towards a One-Stop-Shop Solution
for the Application of Data-Driven Value-Adding Services in Production. In: 2024
IEEE 29th International Conference on Emerging Technologies and Factory Automation
(ETFA). Vol 13. IEEE; 2024. doi:10.1109/etfa61755.2024.10711095'
apa: Redeker, M., Quirin, D., Schroeder, R., Klausmann, T., Löwen, A., Wollbrink,
A., Stichweh, H., Althoff, S., Bender, A., Sextro, W., & Hesse, M. (2024).
Towards a One-Stop-Shop Solution for the Application of Data-Driven Value-Adding
Services in Production. 2024 IEEE 29th International Conference on Emerging
Technologies and Factory Automation (ETFA), 13. https://doi.org/10.1109/etfa61755.2024.10711095
bibtex: '@inproceedings{Redeker_Quirin_Schroeder_Klausmann_Löwen_Wollbrink_Stichweh_Althoff_Bender_Sextro_et
al._2024, title={Towards a One-Stop-Shop Solution for the Application of Data-Driven
Value-Adding Services in Production}, volume={13}, DOI={10.1109/etfa61755.2024.10711095},
booktitle={2024 IEEE 29th International Conference on Emerging Technologies and
Factory Automation (ETFA)}, publisher={IEEE}, author={Redeker, Magnus and Quirin,
Dennis and Schroeder, Rafael and Klausmann, Tobias and Löwen, Alexander and Wollbrink,
Alexander and Stichweh, Heiko and Althoff, Simon and Bender, Amelie and Sextro,
Walter and et al.}, year={2024} }'
chicago: Redeker, Magnus, Dennis Quirin, Rafael Schroeder, Tobias Klausmann, Alexander
Löwen, Alexander Wollbrink, Heiko Stichweh, et al. “Towards a One-Stop-Shop Solution
for the Application of Data-Driven Value-Adding Services in Production.” In 2024
IEEE 29th International Conference on Emerging Technologies and Factory Automation
(ETFA), Vol. 13. IEEE, 2024. https://doi.org/10.1109/etfa61755.2024.10711095.
ieee: 'M. Redeker et al., “Towards a One-Stop-Shop Solution for the Application
of Data-Driven Value-Adding Services in Production,” in 2024 IEEE 29th International
Conference on Emerging Technologies and Factory Automation (ETFA), 2024, vol.
13, doi: 10.1109/etfa61755.2024.10711095.'
mla: Redeker, Magnus, et al. “Towards a One-Stop-Shop Solution for the Application
of Data-Driven Value-Adding Services in Production.” 2024 IEEE 29th International
Conference on Emerging Technologies and Factory Automation (ETFA), vol. 13,
IEEE, 2024, doi:10.1109/etfa61755.2024.10711095.
short: 'M. Redeker, D. Quirin, R. Schroeder, T. Klausmann, A. Löwen, A. Wollbrink,
H. Stichweh, S. Althoff, A. Bender, W. Sextro, M. Hesse, in: 2024 IEEE 29th International
Conference on Emerging Technologies and Factory Automation (ETFA), IEEE, 2024.'
date_created: 2024-11-04T12:30:48Z
date_updated: 2024-11-04T12:34:48Z
doi: 10.1109/etfa61755.2024.10711095
intvolume: ' 13'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://ieeexplore.ieee.org/document/10711095
oa: '1'
publication: 2024 IEEE 29th International Conference on Emerging Technologies and
Factory Automation (ETFA)
publication_status: published
publisher: IEEE
status: public
title: Towards a One-Stop-Shop Solution for the Application of Data-Driven Value-Adding
Services in Production
type: conference
user_id: '47233'
volume: 13
year: '2024'
...
---
_id: '61756'
author:
- first_name: Claus
full_name: Scheidemann, Claus
id: '38259'
last_name: Scheidemann
- first_name: Tobias
full_name: Hemsel, Tobias
id: '210'
last_name: Hemsel
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Scheidemann C, Hemsel T, Sextro W. Characteristic behavior of lead-free and
lead-containing piezo ring ceramics in ultrasonic transducers. In: ; 2024.'
apa: Scheidemann, C., Hemsel, T., & Sextro, W. (2024). Characteristic behavior
of lead-free and lead-containing piezo ring ceramics in ultrasonic transducers.
21nd International Workshop on Piezoelectric Materials and Applications in Actuators
(IWPMA), Hannover, Germany.
bibtex: '@inproceedings{Scheidemann_Hemsel_Sextro_2024, title={Characteristic behavior
of lead-free and lead-containing piezo ring ceramics in ultrasonic transducers},
author={Scheidemann, Claus and Hemsel, Tobias and Sextro, Walter}, year={2024}
}'
chicago: Scheidemann, Claus, Tobias Hemsel, and Walter Sextro. “Characteristic Behavior
of Lead-Free and Lead-Containing Piezo Ring Ceramics in Ultrasonic Transducers,”
2024.
ieee: C. Scheidemann, T. Hemsel, and W. Sextro, “Characteristic behavior of lead-free
and lead-containing piezo ring ceramics in ultrasonic transducers,” presented
at the 21nd International Workshop on Piezoelectric Materials and Applications
in Actuators (IWPMA), Hannover, Germany, 2024.
mla: Scheidemann, Claus, et al. Characteristic Behavior of Lead-Free and Lead-Containing
Piezo Ring Ceramics in Ultrasonic Transducers. 2024.
short: 'C. Scheidemann, T. Hemsel, W. Sextro, in: 2024.'
conference:
end_date: 2024-07-26
location: Hannover, Germany
name: 21nd International Workshop on Piezoelectric Materials and Applications in
Actuators (IWPMA)
start_date: 2024-07-22
date_created: 2025-10-08T14:28:33Z
date_updated: 2026-03-02T11:00:14Z
ddc:
- '620'
department:
- _id: '151'
file:
- access_level: open_access
content_type: application/pdf
creator: hemsel
date_created: 2026-01-30T14:50:06Z
date_updated: 2026-03-02T11:00:13Z
file_id: '63820'
file_name: IWPMA_2024_Scheidemann.pdf
file_size: 1984385
relation: main_file
file_date_updated: 2026-03-02T11:00:13Z
has_accepted_license: '1'
language:
- iso: eng
oa: '1'
status: public
title: Characteristic behavior of lead-free and lead-containing piezo ring ceramics
in ultrasonic transducers
type: conference
user_id: '210'
year: '2024'
...
---
_id: '55568'
abstract:
- lang: eng
text: Historical condition monitoring data from technical systems can be
utilized to develop data-driven models for predicting the remaining useful life
(RUL) of similar systems, whereas the Health Index (HI) often is a crucial component.
The development of robust and accurate models requires meaningful features that
reflect the system’s degradation process, enabling an accurate prediction of the
system's HI. Traditionally, the identification of those is supported by one of
various feature ranking methods. In literature, feature interdependencies and
their transferability across various similar systems are not sufficiently considered
in feature selection, exacerbating the challenge of HI prediction posed by the
scarcity of data and system diversity in real-world applications. This work addresses
this gaps by demonstrating how filter-based feature selection, incorporating failure
thresholds and cross correlations, enhances feature selection leading to improved
HI prediction. The proposed methodology is applied to a novel dataset* obtained
from run-to-failure experiments on geared motors conducted as part of this study,
which presents the aforementioned challenges. It is revealed that classical feature
selection, consisting of feature ranking only, leaves potential untapped, which
is utilized by the proposed selection methodology. It is shown that the proposed
feature selection methodology leads to the best result with a RMSE of 0.14 in
predicting the HI of a constructive different gearbox, while the features, determined
by classical feature selection, lead to a RMSE of 0.19 at best.
author:
- first_name: Alexander
full_name: Löwen, Alexander
id: '47233'
last_name: Löwen
- first_name: Peter
full_name: Wissbrock, Peter
last_name: Wissbrock
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: Löwen A, Wissbrock P, Bender A, Sextro W. Filter-based feature selection for
prognostics incorporating cross correlations and failure thresholds. PHM Society
European Conference. 2024;8(1):955-964. doi:10.36001/phme.2024.v8i1.4075
apa: Löwen, A., Wissbrock, P., Bender, A., & Sextro, W. (2024). Filter-based
feature selection for prognostics incorporating cross correlations and failure
thresholds. PHM Society European Conference, 8(1), 955–964. https://doi.org/10.36001/phme.2024.v8i1.4075
bibtex: '@article{Löwen_Wissbrock_Bender_Sextro_2024, title={Filter-based feature
selection for prognostics incorporating cross correlations and failure thresholds},
volume={8}, DOI={10.36001/phme.2024.v8i1.4075},
number={1}, journal={PHM Society European Conference}, publisher={PHM Society},
author={Löwen, Alexander and Wissbrock, Peter and Bender, Amelie and Sextro, Walter},
year={2024}, pages={955–964} }'
chicago: 'Löwen, Alexander, Peter Wissbrock, Amelie Bender, and Walter Sextro. “Filter-Based
Feature Selection for Prognostics Incorporating Cross Correlations and Failure
Thresholds.” PHM Society European Conference 8, no. 1 (2024): 955–64. https://doi.org/10.36001/phme.2024.v8i1.4075.'
ieee: 'A. Löwen, P. Wissbrock, A. Bender, and W. Sextro, “Filter-based feature selection
for prognostics incorporating cross correlations and failure thresholds,” PHM
Society European Conference, vol. 8, no. 1, pp. 955–964, 2024, doi: 10.36001/phme.2024.v8i1.4075.'
mla: Löwen, Alexander, et al. “Filter-Based Feature Selection for Prognostics Incorporating
Cross Correlations and Failure Thresholds.” PHM Society European Conference,
vol. 8, no. 1, PHM Society, 2024, pp. 955–64, doi:10.36001/phme.2024.v8i1.4075.
short: A. Löwen, P. Wissbrock, A. Bender, W. Sextro, PHM Society European Conference
8 (2024) 955–964.
conference:
end_date: 2024-07-05
location: Prague
name: 8th European Conference of the Prognostics and Health Management Society 2024
start_date: 2024-07-03
date_created: 2024-08-08T09:22:33Z
date_updated: 2025-02-10T10:58:57Z
department:
- _id: '151'
doi: 10.36001/phme.2024.v8i1.4075
intvolume: ' 8'
issue: '1'
language:
- iso: eng
page: 955-964
publication: PHM Society European Conference
publication_identifier:
isbn:
- 978-1-936263-40-0
publication_status: published
publisher: PHM Society
quality_controlled: '1'
related_material:
link:
- relation: confirmation
url: https://papers.phmsociety.org/index.php/phme/article/download/4075/2477
status: public
title: Filter-based feature selection for prognostics incorporating cross correlations
and failure thresholds
type: journal_article
user_id: '47233'
volume: 8
year: '2024'
...
---
_id: '55631'
abstract:
- lang: eng
text: This paper investigates the remaining useful lifetime (RUL) estimation of
bearings under dynamic, i.e., time-varying, operating conditions (OC). Unlike
conventional studies that assume constant OC in bearing accelerated life tests,
we introduce a dataset with time-varying OC during run-to-failure experiments,
simulating real-world scenarios. We explore data-driven approaches to identify
the transition point from a healthy to an unhealthy state and estimate the RUL.
Additionally, we examine strategies for integrating OC information to enhance
RUL estimations. These methodologies are evaluated through numerical experiments
using various machine learning algorithms.
article_number: '9'
author:
- first_name: Alireza
full_name: Javanmardi, Alireza
last_name: Javanmardi
- first_name: Osarenren Kennedy
full_name: Aimiyekagbon, Osarenren Kennedy
id: '9557'
last_name: Aimiyekagbon
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: James Kuria
full_name: Kimotho, James Kuria
last_name: Kimotho
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: Eyke
full_name: Hüllermeier, Eyke
id: '48129'
last_name: Hüllermeier
citation:
ama: 'Javanmardi A, Aimiyekagbon OK, Bender A, Kimotho JK, Sextro W, Hüllermeier
E. Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying
Conditions. In: PHM Society European Conference. Vol 8. PHM Society; 2024.
doi:10.36001/phme.2024.v8i1.4101'
apa: Javanmardi, A., Aimiyekagbon, O. K., Bender, A., Kimotho, J. K., Sextro, W.,
& Hüllermeier, E. (2024). Remaining Useful Lifetime Estimation of Bearings
Operating under Time-Varying Conditions. PHM Society European Conference,
8(1), Article 9. https://doi.org/10.36001/phme.2024.v8i1.4101
bibtex: '@inproceedings{Javanmardi_Aimiyekagbon_Bender_Kimotho_Sextro_Hüllermeier_2024,
title={Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying
Conditions}, volume={8}, DOI={10.36001/phme.2024.v8i1.4101},
number={19}, booktitle={PHM Society European Conference}, publisher={PHM Society},
author={Javanmardi, Alireza and Aimiyekagbon, Osarenren Kennedy and Bender, Amelie
and Kimotho, James Kuria and Sextro, Walter and Hüllermeier, Eyke}, year={2024}
}'
chicago: Javanmardi, Alireza, Osarenren Kennedy Aimiyekagbon, Amelie Bender, James
Kuria Kimotho, Walter Sextro, and Eyke Hüllermeier. “Remaining Useful Lifetime
Estimation of Bearings Operating under Time-Varying Conditions.” In PHM Society
European Conference, Vol. 8. PHM Society, 2024. https://doi.org/10.36001/phme.2024.v8i1.4101.
ieee: 'A. Javanmardi, O. K. Aimiyekagbon, A. Bender, J. K. Kimotho, W. Sextro, and
E. Hüllermeier, “Remaining Useful Lifetime Estimation of Bearings Operating under
Time-Varying Conditions,” in PHM Society European Conference, Prague, Czech
Republic, 2024, vol. 8, no. 1, doi: 10.36001/phme.2024.v8i1.4101.'
mla: Javanmardi, Alireza, et al. “Remaining Useful Lifetime Estimation of Bearings
Operating under Time-Varying Conditions.” PHM Society European Conference,
vol. 8, no. 1, 9, PHM Society, 2024, doi:10.36001/phme.2024.v8i1.4101.
short: 'A. Javanmardi, O.K. Aimiyekagbon, A. Bender, J.K. Kimotho, W. Sextro, E.
Hüllermeier, in: PHM Society European Conference, PHM Society, 2024.'
conference:
end_date: 2024-07-05
location: Prague, Czech Republic
name: 8th European Conference of the Prognostics and Health Management Society 2024
start_date: 2024-07-03
date_created: 2024-08-19T07:41:32Z
date_updated: 2025-02-10T10:37:52Z
department:
- _id: '151'
doi: 10.36001/phme.2024.v8i1.4101
intvolume: ' 8'
issue: '1'
language:
- iso: eng
publication: PHM Society European Conference
publication_identifier:
isbn:
- 978-1-936263-40-0
publication_status: published
publisher: PHM Society
quality_controlled: '1'
status: public
title: Remaining Useful Lifetime Estimation of Bearings Operating under Time-Varying
Conditions
type: conference
user_id: '9557'
volume: 8
year: '2024'
...
---
_id: '56113'
abstract:
- lang: eng
text: Abstract This study focuses on hybrid modeling approaches that combine physical
and data-driven methods to create more effective dynamical system models. In particular,
it examines discrepancy models, a type of hybrid model that integrates a physical
system model with data-driven compensation for inaccuracies. The study applies
two discrepancy modeling methods to a multibody system using discrepancies in
the state vector and its time derivative, respectively. As an application example,
a four-bar linkage with nonlinear damping is investigated, using a simplified
conservative system as a physical model. The comparative analysis of the two methods
shows that the continuous approach generally outperforms the discrete method in
terms of accuracy and computational efficiency, especially for velocity prediction
and prediction horizon. However, scenarios, where input signals for training and
testing differ, present nuanced findings. When the continuous method is trained
on complex signals (sine) and tested on simpler ones (stair), it struggles to
deliver satisfactory results, exhibiting notably higher root mean square error
(RMSE) values, particularly in angular velocity prediction. Conversely, training
on simple signals (stair) and testing on complex ones (sine) surprisingly yields
low RMSE values, indicating the continuous method’s adaptability. While the discrete
method aligns more closely with expectations and performs better in certain scenarios,
its results are consistently moderate, neither exceptional nor particularly poor.
The study also introduces a selection framework for choosing the most suitable
algorithm based on the specific characteristics of the modeling task. This framework
provides guidance for researchers and practitioners in leveraging hybrid modeling
effectively. Finally, the study concludes with an outlook on future research directions.
author:
- first_name: Meike Claudia
full_name: Wohlleben, Meike Claudia
id: '43991'
last_name: Wohlleben
orcid: 0009-0009-9767-7168
- first_name: Benedict
full_name: Röder, Benedict
last_name: Röder
- first_name: Henrik
full_name: Ebel, Henrik
last_name: Ebel
- first_name: Lars
full_name: Muth, Lars
id: '77313'
last_name: Muth
orcid: 0000-0002-2938-5616
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: Peter
full_name: Eberhard, Peter
last_name: Eberhard
citation:
ama: 'Wohlleben MC, Röder B, Ebel H, Muth L, Sextro W, Eberhard P. Hybrid modeling
of multibody systems: Comparison of two discrepancy models for trajectory prediction.
PAMM. Published online 2024:e202400027. doi:https://doi.org/10.1002/pamm.202400027'
apa: 'Wohlleben, M. C., Röder, B., Ebel, H., Muth, L., Sextro, W., & Eberhard,
P. (2024). Hybrid modeling of multibody systems: Comparison of two discrepancy
models for trajectory prediction. PAMM, e202400027. https://doi.org/10.1002/pamm.202400027'
bibtex: '@article{Wohlleben_Röder_Ebel_Muth_Sextro_Eberhard_2024, title={Hybrid
modeling of multibody systems: Comparison of two discrepancy models for trajectory
prediction}, DOI={https://doi.org/10.1002/pamm.202400027},
journal={PAMM}, author={Wohlleben, Meike Claudia and Röder, Benedict and Ebel,
Henrik and Muth, Lars and Sextro, Walter and Eberhard, Peter}, year={2024}, pages={e202400027}
}'
chicago: 'Wohlleben, Meike Claudia, Benedict Röder, Henrik Ebel, Lars Muth, Walter
Sextro, and Peter Eberhard. “Hybrid Modeling of Multibody Systems: Comparison
of Two Discrepancy Models for Trajectory Prediction.” PAMM, 2024, e202400027.
https://doi.org/10.1002/pamm.202400027.'
ieee: 'M. C. Wohlleben, B. Röder, H. Ebel, L. Muth, W. Sextro, and P. Eberhard,
“Hybrid modeling of multibody systems: Comparison of two discrepancy models for
trajectory prediction,” PAMM, p. e202400027, 2024, doi: https://doi.org/10.1002/pamm.202400027.'
mla: 'Wohlleben, Meike Claudia, et al. “Hybrid Modeling of Multibody Systems: Comparison
of Two Discrepancy Models for Trajectory Prediction.” PAMM, 2024, p. e202400027,
doi:https://doi.org/10.1002/pamm.202400027.'
short: M.C. Wohlleben, B. Röder, H. Ebel, L. Muth, W. Sextro, P. Eberhard, PAMM
(2024) e202400027.
date_created: 2024-09-11T13:38:03Z
date_updated: 2025-02-27T19:54:08Z
doi: https://doi.org/10.1002/pamm.202400027
language:
- iso: eng
page: e202400027
publication: PAMM
quality_controlled: '1'
status: public
title: 'Hybrid modeling of multibody systems: Comparison of two discrepancy models
for trajectory prediction'
type: journal_article
user_id: '77313'
year: '2024'
...
---
_id: '51119'
author:
- first_name: Claus
full_name: Scheidemann, Claus
id: '38259'
last_name: Scheidemann
- first_name: Oliver Ernst Caspar
full_name: Hagedorn, Oliver Ernst Caspar
id: '53321'
last_name: Hagedorn
- first_name: Tobias
full_name: Hemsel, Tobias
id: '210'
last_name: Hemsel
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Scheidemann C, Hagedorn OEC, Hemsel T, Sextro W. Experimental Investigation
of Bond Formation and Wire Deformation in the Ultrasonic Wire Bonding Process.
In: ; 2023.'
apa: Scheidemann, C., Hagedorn, O. E. C., Hemsel, T., & Sextro, W. (2023). Experimental
Investigation of Bond Formation and Wire Deformation in the Ultrasonic Wire Bonding
Process. International Conference on Functional Materials & Devices 2023
(ICFMD 2023), Jeju, Korea.
bibtex: '@inproceedings{Scheidemann_Hagedorn_Hemsel_Sextro_2023, title={Experimental
Investigation of Bond Formation and Wire Deformation in the Ultrasonic Wire Bonding
Process}, author={Scheidemann, Claus and Hagedorn, Oliver Ernst Caspar and Hemsel,
Tobias and Sextro, Walter}, year={2023} }'
chicago: Scheidemann, Claus, Oliver Ernst Caspar Hagedorn, Tobias Hemsel, and Walter
Sextro. “Experimental Investigation of Bond Formation and Wire Deformation in
the Ultrasonic Wire Bonding Process,” 2023.
ieee: C. Scheidemann, O. E. C. Hagedorn, T. Hemsel, and W. Sextro, “Experimental
Investigation of Bond Formation and Wire Deformation in the Ultrasonic Wire Bonding
Process,” presented at the International Conference on Functional Materials &
Devices 2023 (ICFMD 2023), Jeju, Korea, 2023.
mla: Scheidemann, Claus, et al. Experimental Investigation of Bond Formation
and Wire Deformation in the Ultrasonic Wire Bonding Process. 2023.
short: 'C. Scheidemann, O.E.C. Hagedorn, T. Hemsel, W. Sextro, in: 2023.'
conference:
end_date: 2023-11-03
location: Jeju, Korea
name: International Conference on Functional Materials & Devices 2023 (ICFMD 2023)
start_date: 2023-10-31
date_created: 2024-02-01T16:03:41Z
date_updated: 2024-02-01T16:04:33Z
department:
- _id: '151'
language:
- iso: eng
status: public
title: Experimental Investigation of Bond Formation and Wire Deformation in the Ultrasonic
Wire Bonding Process
type: conference_abstract
user_id: '38259'
year: '2023'
...