---
_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: '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: '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: '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: '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: 2026-04-15T11:16:18Z
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'
project:
- _id: '245'
name: 'FOR 5208: Modellbasierte Bestimmung nichtlinearer Eigenschaften von Piezokeramiken
für Leistungsschallanwendungen (NEPTUN)'
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: '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'
...
---
_id: '51338'
author:
- 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: 'Schütte J, Sextro W. Einfluss der Radhubkinematik auf den Reifenverschleiß.
In: 20. VDI-Fachtagung Reifen - Fahrwerk - Fahrbahn. Vol 2425. VDI-Berichte.
VDI Verlag GmbH; 2023:165-180.'
apa: Schütte, J., & Sextro, W. (2023). Einfluss der Radhubkinematik auf den
Reifenverschleiß. 20. VDI-Fachtagung Reifen - Fahrwerk - Fahrbahn, 2425,
165–180.
bibtex: '@inproceedings{Schütte_Sextro_2023, series={VDI-Berichte}, title={Einfluss
der Radhubkinematik auf den Reifenverschleiß}, volume={2425}, booktitle={20. VDI-Fachtagung
Reifen - Fahrwerk - Fahrbahn}, publisher={VDI Verlag GmbH}, author={Schütte, Jan
and Sextro, Walter}, year={2023}, pages={165–180}, collection={VDI-Berichte} }'
chicago: Schütte, Jan, and Walter Sextro. “Einfluss der Radhubkinematik auf den
Reifenverschleiß.” In 20. VDI-Fachtagung Reifen - Fahrwerk - Fahrbahn,
2425:165–80. VDI-Berichte. VDI Verlag GmbH, 2023.
ieee: J. Schütte and W. Sextro, “Einfluss der Radhubkinematik auf den Reifenverschleiß,”
in 20. VDI-Fachtagung Reifen - Fahrwerk - Fahrbahn, Karlsruhe, 2023, vol.
2425, pp. 165–180.
mla: Schütte, Jan, and Walter Sextro. “Einfluss der Radhubkinematik auf den Reifenverschleiß.”
20. VDI-Fachtagung Reifen - Fahrwerk - Fahrbahn, vol. 2425, VDI Verlag
GmbH, 2023, pp. 165–80.
short: 'J. Schütte, W. Sextro, in: 20. VDI-Fachtagung Reifen - Fahrwerk - Fahrbahn,
VDI Verlag GmbH, 2023, pp. 165–180.'
conference:
end_date: 2023-11-09
location: Karlsruhe
name: 20. VDI Fachtagung Reifen - Fahrwerk - Fahrbahn
start_date: 2023-11-08
date_created: 2024-02-13T11:29:58Z
date_updated: 2024-05-27T07:48:26Z
department:
- _id: '151'
intvolume: ' 2425'
language:
- iso: ger
page: 165-180
publication: 20. VDI-Fachtagung Reifen - Fahrwerk - Fahrbahn
publication_identifier:
unknown:
- 978-3-18-092425-0
publication_status: published
publisher: VDI Verlag GmbH
series_title: VDI-Berichte
status: public
title: Einfluss der Radhubkinematik auf den Reifenverschleiß
type: conference
user_id: '22109'
volume: 2425
year: '2023'
...
---
_id: '47116'
abstract:
- lang: eng
text: This paper presents a comprehensive study on diagnosing a spacecraft propulsion
system utilizing data provided by the Prognostics and Health Management (PHM)
society, specifically obtained as part of the Asia-Pacific PHM conference’s data
challenge 2023. The objective of the challenge is to identify and diagnose known
faults as well as unknown anomalies in the spacecraft’s propulsion system, which
is critical for ensuring the spacecraft’s proper functionality and safety. To
address this challenge, the proposed method follows a systematic approach of feature
extraction, feature selection, and model development. The models employed in this
study are kMeans clustering and decision trees combined to ensembles, enriched
with expert knowledge. With the method presented, our team was capable of reaching
high accuracy in identifying anomalies as well as diagnosing faults, resulting
in attaining the seventh place with a score of 93.08 %.
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: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- 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
citation:
ama: 'Aimiyekagbon OK, Löwen A, Bender A, Muth L, Sextro W. Expert-Informed Hierarchical
Diagnostics of Multiple Fault Modes of a Spacecraft Propulsion System. In: Proceedings
of the Asia Pacific Conference of the PHM Society 2023 . Vol 4. ; 2023. doi:10.36001/phmap.2023.v4i1.3596'
apa: Aimiyekagbon, O. K., Löwen, A., Bender, A., Muth, L., & Sextro, W. (2023).
Expert-Informed Hierarchical Diagnostics of Multiple Fault Modes of a Spacecraft
Propulsion System. Proceedings of the Asia Pacific Conference of the PHM Society
2023 , 4(1). https://doi.org/10.36001/phmap.2023.v4i1.3596
bibtex: '@inproceedings{Aimiyekagbon_Löwen_Bender_Muth_Sextro_2023, title={Expert-Informed
Hierarchical Diagnostics of Multiple Fault Modes of a Spacecraft Propulsion System},
volume={4}, DOI={10.36001/phmap.2023.v4i1.3596},
number={1}, booktitle={Proceedings of the Asia Pacific Conference of the PHM Society
2023 }, author={Aimiyekagbon, Osarenren Kennedy and Löwen, Alexander and Bender,
Amelie and Muth, Lars and Sextro, Walter}, year={2023} }'
chicago: Aimiyekagbon, Osarenren Kennedy, Alexander Löwen, Amelie Bender, Lars Muth,
and Walter Sextro. “Expert-Informed Hierarchical Diagnostics of Multiple Fault
Modes of a Spacecraft Propulsion System.” In Proceedings of the Asia Pacific
Conference of the PHM Society 2023 , Vol. 4, 2023. https://doi.org/10.36001/phmap.2023.v4i1.3596.
ieee: 'O. K. Aimiyekagbon, A. Löwen, A. Bender, L. Muth, and W. Sextro, “Expert-Informed
Hierarchical Diagnostics of Multiple Fault Modes of a Spacecraft Propulsion System,”
in Proceedings of the Asia Pacific Conference of the PHM Society 2023 ,
2023, vol. 4, no. 1, doi: 10.36001/phmap.2023.v4i1.3596.'
mla: Aimiyekagbon, Osarenren Kennedy, et al. “Expert-Informed Hierarchical Diagnostics
of Multiple Fault Modes of a Spacecraft Propulsion System.” Proceedings of
the Asia Pacific Conference of the PHM Society 2023 , vol. 4, no. 1, 2023,
doi:10.36001/phmap.2023.v4i1.3596.
short: 'O.K. Aimiyekagbon, A. Löwen, A. Bender, L. Muth, W. Sextro, in: Proceedings
of the Asia Pacific Conference of the PHM Society 2023 , 2023.'
date_created: 2023-09-18T07:52:32Z
date_updated: 2024-08-19T07:39:12Z
department:
- _id: '151'
doi: 10.36001/phmap.2023.v4i1.3596
intvolume: ' 4'
issue: '1'
keyword:
- PHM
- Fault Diagnostics
- Multiple Fault Modes
- Expert-Informed Diagnostics
- Anomaly Detection
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.papers.phmsociety.org/index.php/phmap/article/view/3596
oa: '1'
publication: 'Proceedings of the Asia Pacific Conference of the PHM Society 2023 '
quality_controlled: '1'
status: public
title: Expert-Informed Hierarchical Diagnostics of Multiple Fault Modes of a Spacecraft
Propulsion System
type: conference
user_id: '9557'
volume: 4
year: '2023'
...
---
_id: '46813'
abstract:
- lang: eng
text: Modelling of dynamic systems plays an important role in many engineering disciplines.
Two different approaches are physical modelling and data‐driven modelling, both
of which have their respective advantages and disadvantages. By combining these
two approaches, hybrid models can be created in which the respective disadvantages
are mitigated, with discrepancy models being a particular subclass. Here, the
basic system behaviour is described physically, that is, in the form of differential
equations. Inaccuracies resulting from insufficient modelling or numerics lead
to a discrepancy between the measurements and the model, which can be compensated
by a data‐driven error correction term. Since discrepancy methods still require
a large amount of measurement data, this paper investigates the extent to which
a single discrepancy model can be trained for a physical model with additional
parameter dependencies without the need for retraining. As an example, a damped
electromagnetic oscillating circuit is used. The physical model is realised by
a differential equation describing the electric current, considering only inductance
and capacitance; dissipation due to resistance is neglected. This creates a discrepancy
between measurement and model, which is corrected by a data‐driven model. In the
experiments, the inductance and the capacity are varied. It is found that the
same data‐driven model can only be used if additional parametric dependencies
in the data‐driven term are considered as well.
author:
- first_name: Meike Claudia
full_name: Wohlleben, Meike Claudia
id: '43991'
last_name: Wohlleben
orcid: 0009-0009-9767-7168
- first_name: Lars
full_name: Muth, Lars
id: '77313'
last_name: Muth
orcid: 0000-0002-2938-5616
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Wohlleben MC, Muth L, Peitz S, Sextro W. Transferability of a discrepancy
model for the dynamics of electromagnetic oscillating circuits. In: Proceedings
in Applied Mathematics and Mechanics. Wiley; 2023. doi:10.1002/pamm.202300039'
apa: Wohlleben, M. C., Muth, L., Peitz, S., & Sextro, W. (2023). Transferability
of a discrepancy model for the dynamics of electromagnetic oscillating circuits.
Proceedings in Applied Mathematics and Mechanics. https://doi.org/10.1002/pamm.202300039
bibtex: '@inproceedings{Wohlleben_Muth_Peitz_Sextro_2023, title={Transferability
of a discrepancy model for the dynamics of electromagnetic oscillating circuits},
DOI={10.1002/pamm.202300039},
booktitle={Proceedings in Applied Mathematics and Mechanics}, publisher={Wiley},
author={Wohlleben, Meike Claudia and Muth, Lars and Peitz, Sebastian and Sextro,
Walter}, year={2023} }'
chicago: Wohlleben, Meike Claudia, Lars Muth, Sebastian Peitz, and Walter Sextro.
“Transferability of a Discrepancy Model for the Dynamics of Electromagnetic Oscillating
Circuits.” In Proceedings in Applied Mathematics and Mechanics. Wiley,
2023. https://doi.org/10.1002/pamm.202300039.
ieee: 'M. C. Wohlleben, L. Muth, S. Peitz, and W. Sextro, “Transferability of a
discrepancy model for the dynamics of electromagnetic oscillating circuits,” 2023,
doi: 10.1002/pamm.202300039.'
mla: Wohlleben, Meike Claudia, et al. “Transferability of a Discrepancy Model for
the Dynamics of Electromagnetic Oscillating Circuits.” Proceedings in Applied
Mathematics and Mechanics, Wiley, 2023, doi:10.1002/pamm.202300039.
short: 'M.C. Wohlleben, L. Muth, S. Peitz, W. Sextro, in: Proceedings in Applied
Mathematics and Mechanics, Wiley, 2023.'
date_created: 2023-09-06T05:18:05Z
date_updated: 2023-09-21T14:47:20Z
department:
- _id: '655'
- _id: '151'
doi: 10.1002/pamm.202300039
keyword:
- Electrical and Electronic Engineering
- Atomic and Molecular Physics
- and Optics
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://onlinelibrary.wiley.com/doi/epdf/10.1002/pamm.202300039
oa: '1'
publication: Proceedings in Applied Mathematics and Mechanics
publication_identifier:
issn:
- 1617-7061
- 1617-7061
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Transferability of a discrepancy model for the dynamics of electromagnetic
oscillating circuits
type: conference
user_id: '77313'
year: '2023'
...
---
_id: '51117'
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: Olga
full_name: Friesen, Olga
id: '44026'
last_name: Friesen
- first_name: Leander
full_name: Claes, Leander
id: '11829'
last_name: Claes
orcid: 0000-0002-4393-268X
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Scheidemann C, Hemsel T, Friesen O, Claes L, Sextro W. Influence of Temperature
and Pre-Stress on the Piezoelectric Material Behavior of Ring-Shaped Ceramics.
In: ; 2023.'
apa: Scheidemann, C., Hemsel, T., Friesen, O., Claes, L., & Sextro, W. (2023).
Influence of Temperature and Pre-Stress on the Piezoelectric Material Behavior
of Ring-Shaped Ceramics. 7th International Conference on Advanced Electromaterials
(ICAE 2023), Jeju, Korea.
bibtex: '@inproceedings{Scheidemann_Hemsel_Friesen_Claes_Sextro_2023, title={Influence
of Temperature and Pre-Stress on the Piezoelectric Material Behavior of Ring-Shaped
Ceramics}, author={Scheidemann, Claus and Hemsel, Tobias and Friesen, Olga and
Claes, Leander and Sextro, Walter}, year={2023} }'
chicago: Scheidemann, Claus, Tobias Hemsel, Olga Friesen, Leander Claes, and Walter
Sextro. “Influence of Temperature and Pre-Stress on the Piezoelectric Material
Behavior of Ring-Shaped Ceramics,” 2023.
ieee: C. Scheidemann, T. Hemsel, O. Friesen, L. Claes, and W. Sextro, “Influence
of Temperature and Pre-Stress on the Piezoelectric Material Behavior of Ring-Shaped
Ceramics,” presented at the 7th International Conference on Advanced Electromaterials
(ICAE 2023), Jeju, Korea, 2023.
mla: Scheidemann, Claus, et al. Influence of Temperature and Pre-Stress on the
Piezoelectric Material Behavior of Ring-Shaped Ceramics. 2023.
short: 'C. Scheidemann, T. Hemsel, O. Friesen, L. Claes, W. Sextro, in: 2023.'
conference:
end_date: 2023-11-03
location: Jeju, Korea
name: 7th International Conference on Advanced Electromaterials (ICAE 2023)
start_date: 2023-10-31
date_created: 2024-02-01T15:55:44Z
date_updated: 2026-03-02T10:59:13Z
ddc:
- '620'
department:
- _id: '151'
- _id: '49'
file:
- access_level: open_access
content_type: application/pdf
creator: hemsel
date_created: 2026-01-30T07:15:31Z
date_updated: 2026-03-02T10:59:13Z
file_id: '63815'
file_name: Sch23_ICAE_2023.pdf
file_size: 608243
relation: main_file
file_date_updated: 2026-03-02T10:59:13Z
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: Influence of Temperature and Pre-Stress on the Piezoelectric Material Behavior
of Ring-Shaped Ceramics
type: conference
user_id: '210'
year: '2023'
...
---
_id: '29934'
abstract:
- lang: eng
text: Tire and road wear are a major source of emissions of nonexhaust particulate
matter (PM) and make up the largest share of microplastics in the environment.
To reduce tire wear through numerical optimization of a vehicle's suspension system,
fast simulations of the representative usage of a vehicle are needed. Therefore,
this contribution evaluates if instead of a full simulation of a representative
test drive, only specific driving maneuvers resulting from a clustering of the
driving data can be used to predict tire wear. As a measure for tire wear, the
friction work between tire and road is calculated. It is shown that enough clusters
result in negligible deviations between the total friction work of the full simulation
and the cluster simulations as well as between the distributions of the friction
work over the tire width. The calculation time can be reduced to about 1% of the
full simulation.
author:
- first_name: Lars
full_name: Muth, Lars
id: '77313'
last_name: Muth
orcid: 0000-0002-2938-5616
- first_name: Christian
full_name: Noll, Christian
last_name: Noll
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Muth L, Noll C, Sextro W. Generation of a Reduced, Representative, Virtual
Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data. In:
Orlova A, Cole D, eds. Advances in Dynamics of Vehicles on Roads and Tracks
II - Proceedings of the 27th Symposium of the International Association of Vehicle
System Dynamics, IAVSD 2021. Lecture Notes in Mechanical Engineering. Springer;
2022. doi:10.1007/978-3-031-07305-2_92'
apa: Muth, L., Noll, C., & Sextro, W. (2022). Generation of a Reduced, Representative,
Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data.
In A. Orlova & D. Cole (Eds.), Advances in Dynamics of Vehicles on Roads
and Tracks II - Proceedings of the 27th Symposium of the International Association
of Vehicle System Dynamics, IAVSD 2021. Springer. https://doi.org/10.1007/978-3-031-07305-2_92
bibtex: '@inproceedings{Muth_Noll_Sextro_2022, place={Cham}, series={Lecture Notes
in Mechanical Engineering}, title={Generation of a Reduced, Representative, Virtual
Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data}, DOI={10.1007/978-3-031-07305-2_92},
booktitle={Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings
of the 27th Symposium of the International Association of Vehicle System Dynamics,
IAVSD 2021}, publisher={Springer}, author={Muth, Lars and Noll, Christian and
Sextro, Walter}, editor={Orlova, Anna and Cole, David}, year={2022}, collection={Lecture
Notes in Mechanical Engineering} }'
chicago: 'Muth, Lars, Christian Noll, and Walter Sextro. “Generation of a Reduced,
Representative, Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering
of Driving Data.” In Advances in Dynamics of Vehicles on Roads and Tracks II
- Proceedings of the 27th Symposium of the International Association of Vehicle
System Dynamics, IAVSD 2021, edited by Anna Orlova and David Cole. Lecture
Notes in Mechanical Engineering. Cham: Springer, 2022. https://doi.org/10.1007/978-3-031-07305-2_92.'
ieee: 'L. Muth, C. Noll, and W. Sextro, “Generation of a Reduced, Representative,
Virtual Test Drive for Fast Evaluation of Tire Wear by Clustering of Driving Data,”
in Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings of
the 27th Symposium of the International Association of Vehicle System Dynamics,
IAVSD 2021, Saint Petersburg, Russia, 2022, doi: 10.1007/978-3-031-07305-2_92.'
mla: Muth, Lars, et al. “Generation of a Reduced, Representative, Virtual Test Drive
for Fast Evaluation of Tire Wear by Clustering of Driving Data.” Advances in
Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium
of the International Association of Vehicle System Dynamics, IAVSD 2021, edited
by Anna Orlova and David Cole, Springer, 2022, doi:10.1007/978-3-031-07305-2_92.
short: 'L. Muth, C. Noll, W. Sextro, in: A. Orlova, D. Cole (Eds.), Advances in
Dynamics of Vehicles on Roads and Tracks II - Proceedings of the 27th Symposium
of the International Association of Vehicle System Dynamics, IAVSD 2021, Springer,
Cham, 2022.'
conference:
end_date: 2021-08-19
location: Saint Petersburg, Russia
name: 27th IAVSD Symposium on Dynamics of Vehicles on Roads and Tracks, IAVSD 2021
start_date: 2021-08-17
date_created: 2022-02-21T14:14:11Z
date_updated: 2022-08-23T11:55:07Z
department:
- _id: '151'
doi: 10.1007/978-3-031-07305-2_92
editor:
- first_name: Anna
full_name: Orlova, Anna
last_name: Orlova
- first_name: David
full_name: Cole, David
last_name: Cole
keyword:
- Tire Wear
- Vehicle Dynamics
- Clustering
- Virtual Test
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/chapter/10.1007/978-3-031-07305-2_92
place: Cham
publication: Advances in Dynamics of Vehicles on Roads and Tracks II - Proceedings
of the 27th Symposium of the International Association of Vehicle System Dynamics,
IAVSD 2021
publication_identifier:
eisbn:
- 978-3-031-07305-2
isbn:
- 978-3-031-07304-5
publication_status: published
publisher: Springer
quality_controlled: '1'
series_title: Lecture Notes in Mechanical Engineering
status: public
title: Generation of a Reduced, Representative, Virtual Test Drive for Fast Evaluation
of Tire Wear by Clustering of Driving Data
type: conference
user_id: '77313'
year: '2022'
...
---
_id: '52045'
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. Modellbasierte Ermittlung optimaler Prozessparameter
für neuartige Ultraschallbondverbindungen. LibreCat University; 2022. doi:10.2314/KXP:1879655276
apa: Scheidemann, C., Hemsel, T., & Sextro, W. (2022). Modellbasierte Ermittlung
optimaler Prozessparameter für neuartige Ultraschallbondverbindungen. LibreCat
University. https://doi.org/10.2314/KXP:1879655276
bibtex: '@book{Scheidemann_Hemsel_Sextro_2022, title={Modellbasierte Ermittlung
optimaler Prozessparameter für neuartige Ultraschallbondverbindungen}, DOI={10.2314/KXP:1879655276}, publisher={LibreCat
University}, author={Scheidemann, Claus and Hemsel, Tobias and Sextro, Walter},
year={2022} }'
chicago: Scheidemann, Claus, Tobias Hemsel, and Walter Sextro. Modellbasierte
Ermittlung optimaler Prozessparameter für neuartige Ultraschallbondverbindungen.
LibreCat University, 2022. https://doi.org/10.2314/KXP:1879655276.
ieee: C. Scheidemann, T. Hemsel, and W. Sextro, Modellbasierte Ermittlung optimaler
Prozessparameter für neuartige Ultraschallbondverbindungen. LibreCat University,
2022.
mla: Scheidemann, Claus, et al. Modellbasierte Ermittlung optimaler Prozessparameter
für neuartige Ultraschallbondverbindungen. LibreCat University, 2022, doi:10.2314/KXP:1879655276.
short: C. Scheidemann, T. Hemsel, W. Sextro, Modellbasierte Ermittlung optimaler
Prozessparameter für neuartige Ultraschallbondverbindungen, LibreCat University,
2022.
date_created: 2024-02-26T21:26:35Z
date_updated: 2024-02-26T21:35:03Z
department:
- _id: '151'
doi: 10.2314/KXP:1879655276
language:
- iso: ger
publisher: LibreCat University
related_material:
link:
- relation: confirmation
url: https://www.tib.eu/de/suchen?tx_tibsearch_search%5Baction%5D=download&tx_tibsearch_search%5Bcontroller%5D=Download&tx_tibsearch_search%5Bdocid%5D=TIBKAT%3A1879655276&cHash=bf2cba5ff8f46a376ce5ef59242c95e2#download-mark
status: public
title: Modellbasierte Ermittlung optimaler Prozessparameter für neuartige Ultraschallbondverbindungen
type: report
user_id: '38259'
year: '2022'
...
---
_id: '29727'
author:
- first_name: Meike Claudia
full_name: Wohlleben, Meike Claudia
id: '43991'
last_name: Wohlleben
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: Sebastian
full_name: Peitz, Sebastian
id: '47427'
last_name: Peitz
orcid: 0000-0002-3389-793X
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Wohlleben MC, Bender A, Peitz S, Sextro W. Development of a Hybrid Modeling
Methodology for Oscillating Systems with Friction. In: Machine Learning, Optimization,
and Data Science. Springer International Publishing; 2022. doi:10.1007/978-3-030-95470-3_8'
apa: Wohlleben, M. C., Bender, A., Peitz, S., & Sextro, W. (2022). Development
of a Hybrid Modeling Methodology for Oscillating Systems with Friction. In Machine
Learning, Optimization, and Data Science. Springer International Publishing.
https://doi.org/10.1007/978-3-030-95470-3_8
bibtex: '@inbook{Wohlleben_Bender_Peitz_Sextro_2022, place={Cham}, title={Development
of a Hybrid Modeling Methodology for Oscillating Systems with Friction}, DOI={10.1007/978-3-030-95470-3_8},
booktitle={Machine Learning, Optimization, and Data Science}, publisher={Springer
International Publishing}, author={Wohlleben, Meike Claudia and Bender, Amelie
and Peitz, Sebastian and Sextro, Walter}, year={2022} }'
chicago: 'Wohlleben, Meike Claudia, Amelie Bender, Sebastian Peitz, and Walter Sextro.
“Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction.”
In Machine Learning, Optimization, and Data Science. Cham: Springer International
Publishing, 2022. https://doi.org/10.1007/978-3-030-95470-3_8.'
ieee: 'M. C. Wohlleben, A. Bender, S. Peitz, and W. Sextro, “Development of a Hybrid
Modeling Methodology for Oscillating Systems with Friction,” in Machine Learning,
Optimization, and Data Science, Cham: Springer International Publishing, 2022.'
mla: Wohlleben, Meike Claudia, et al. “Development of a Hybrid Modeling Methodology
for Oscillating Systems with Friction.” Machine Learning, Optimization, and
Data Science, Springer International Publishing, 2022, doi:10.1007/978-3-030-95470-3_8.
short: 'M.C. Wohlleben, A. Bender, S. Peitz, W. Sextro, in: Machine Learning, Optimization,
and Data Science, Springer International Publishing, Cham, 2022.'
date_created: 2022-02-03T10:30:23Z
date_updated: 2023-04-26T12:10:58Z
department:
- _id: '151'
- _id: '655'
doi: 10.1007/978-3-030-95470-3_8
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/content/pdf/10.1007%2F978-3-030-95470-3_8.pdf
place: Cham
publication: Machine Learning, Optimization, and Data Science
publication_identifier:
isbn:
- '9783030954697'
- '9783030954703'
issn:
- 0302-9743
- 1611-3349
publication_status: published
publisher: Springer International Publishing
quality_controlled: '1'
status: public
title: Development of a Hybrid Modeling Methodology for Oscillating Systems with Friction
type: book_chapter
user_id: '43991'
year: '2022'
...
---
_id: '30371'
abstract:
- lang: eng
text: "To achieve optimum bond results at ultrasonic bonding thick copper wire on
sensitive components is quite challenging.\r\nBearing in mind that high normal
force and ultrasonic power are needed for bond quality but as well increase stress
and finally failure risk of the substrate, methods should be found to achieve
high bond quality even at lower bond parameters. Therefore, bond experiments with
different bond tool grove geometries have been conducted for copper and aluminum
wire on direct copper bonded (DCB) substrates to investigate the impact of geometric
parameters on bond formation and bond quality. The wire material depending impact
of geometry changes on the bond formation and deformation was quantified. Additionally,
a bonding parameter design of experiments (DOE) has been conducted for the reference
and the most promising groove geometry. Higher shear values were achieved at reduced
vertical tool displacement for most bonding parameter combinations, compared to
the reference tool. This behavior allows for reducing ultrasonic power to obtain
equal shear values; consequently, mechanical stresses in the interface decrease.
This could potentially reduce the risk of chip damage and thus yield loss."
author:
- first_name: Oliver Ernst Caspar
full_name: Hagedorn, Oliver Ernst Caspar
id: '53321'
last_name: Hagedorn
- first_name: Marian
full_name: Broll, Marian
last_name: Broll
- first_name: Olaf
full_name: Kirsch, Olaf
last_name: Kirsch
- 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: 'Hagedorn OEC, Broll M, Kirsch O, Hemsel T, Sextro W. Experimental Investigation
of the Influence of different Bond Tool Grooves on the Bond Quality for Ultrasonic
Thick Wire Bonding. In: CIPS 2022 - 12th International Conference on Integrated
Power Electronics Systems. VDE VERLAG GMBH; 2022:138-143.'
apa: Hagedorn, O. E. C., Broll, M., Kirsch, O., Hemsel, T., & Sextro, W. (2022).
Experimental Investigation of the Influence of different Bond Tool Grooves on
the Bond Quality for Ultrasonic Thick Wire Bonding. CIPS 2022 - 12th International
Conference on Integrated Power Electronics Systems, 138–143.
bibtex: '@inproceedings{Hagedorn_Broll_Kirsch_Hemsel_Sextro_2022, place={Berlin},
title={Experimental Investigation of the Influence of different Bond Tool Grooves
on the Bond Quality for Ultrasonic Thick Wire Bonding}, booktitle={CIPS 2022 -
12th International Conference on Integrated Power Electronics Systems}, publisher={VDE
VERLAG GMBH}, author={Hagedorn, Oliver Ernst Caspar and Broll, Marian and Kirsch,
Olaf and Hemsel, Tobias and Sextro, Walter}, year={2022}, pages={138–143} }'
chicago: 'Hagedorn, Oliver Ernst Caspar, Marian Broll, Olaf Kirsch, Tobias Hemsel,
and Walter Sextro. “Experimental Investigation of the Influence of Different Bond
Tool Grooves on the Bond Quality for Ultrasonic Thick Wire Bonding.” In CIPS
2022 - 12th International Conference on Integrated Power Electronics Systems,
138–43. Berlin: VDE VERLAG GMBH, 2022.'
ieee: O. E. C. Hagedorn, M. Broll, O. Kirsch, T. Hemsel, and W. Sextro, “Experimental
Investigation of the Influence of different Bond Tool Grooves on the Bond Quality
for Ultrasonic Thick Wire Bonding,” in CIPS 2022 - 12th International Conference
on Integrated Power Electronics Systems, Berlin, 2022, pp. 138–143.
mla: Hagedorn, Oliver Ernst Caspar, et al. “Experimental Investigation of the Influence
of Different Bond Tool Grooves on the Bond Quality for Ultrasonic Thick Wire Bonding.”
CIPS 2022 - 12th International Conference on Integrated Power Electronics Systems,
VDE VERLAG GMBH, 2022, pp. 138–43.
short: 'O.E.C. Hagedorn, M. Broll, O. Kirsch, T. Hemsel, W. Sextro, in: CIPS 2022
- 12th International Conference on Integrated Power Electronics Systems, VDE VERLAG
GMBH, Berlin, 2022, pp. 138–143.'
conference:
end_date: 2022.03.17
location: Berlin
name: CIPS 2022 - 12th International Conference on Integrated Power Electronics
Systems
start_date: 2022.03.15
date_created: 2022-03-17T15:00:06Z
date_updated: 2023-09-21T14:22:17Z
department:
- _id: '151'
language:
- iso: eng
page: 138-143
place: Berlin
publication: CIPS 2022 - 12th International Conference on Integrated Power Electronics
Systems
publication_identifier:
isbn:
- 'ISBN 978-3-8007-5757-2 '
publisher: VDE VERLAG GMBH
quality_controlled: '1'
status: public
title: Experimental Investigation of the Influence of different Bond Tool Grooves
on the Bond Quality for Ultrasonic Thick Wire Bonding
type: conference
user_id: '210'
year: '2022'
...
---
_id: '47159'
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: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: Aimiyekagbon OK, Bender A, Sextro W. On the applicability of time series features
as health indicators for technical systems operating under varying conditions.
Condition Monitor. 2022:5-10.
apa: Aimiyekagbon, O. K., Bender, A., & Sextro, W. (2022). On the applicability
of time series features as health indicators for technical systems operating under
varying conditions. Condition Monitor, 425, 5–10.
bibtex: '@article{Aimiyekagbon_Bender_Sextro_2022, title={On the applicability of
time series features as health indicators for technical systems operating under
varying conditions}, number={425}, journal={ Condition Monitor}, author={Aimiyekagbon,
Osarenren Kennedy and Bender, Amelie and Sextro, Walter}, year={2022}, pages={5–10}
}'
chicago: Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “On
the Applicability of Time Series Features as Health Indicators for Technical Systems
Operating under Varying Conditions.” Condition Monitor, 2022.
ieee: O. K. Aimiyekagbon, A. Bender, and W. Sextro, “On the applicability of time
series features as health indicators for technical systems operating under varying
conditions,” Condition Monitor, no. 425, pp. 5–10, 2022.
mla: Aimiyekagbon, Osarenren Kennedy, et al. “On the Applicability of Time Series
Features as Health Indicators for Technical Systems Operating under Varying Conditions.”
Condition Monitor, no. 425, 2022, pp. 5–10.
short: O.K. Aimiyekagbon, A. Bender, W. Sextro, Condition Monitor (2022) 5–10.
date_created: 2023-09-22T09:25:48Z
date_updated: 2023-09-22T09:29:51Z
department:
- _id: '151'
issue: '425'
language:
- iso: eng
page: 5 - 10
publication: ' Condition Monitor'
publication_date: 2022-08
publication_identifier:
issn:
- 0268-8050
publication_status: published
status: public
title: On the applicability of time series features as health indicators for technical
systems operating under varying conditions
type: newspaper_article
user_id: '9557'
year: '2022'
...