---
_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: '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: '44672'
abstract:
- lang: eng
text: With enhancing digitalization, condition monitoring is used in an increasing
number of application fields across various industrial sectors. By its application,
increased reliability as well as reduced risks and costs can be achieved. Based
on different approaches, technical systems are monitored and measured data is
analyzed to enable condition-based or predictive maintenance. To this end, machine
learning approaches are usually implemented to diagnose the health states or predict
the health index of the monitored system. However, these trained models are often
black-box models, not intuitively explainable for a human. To overcome this shortcoming,
a model-based approach based on physics is developed for piezoelectric bending
actuators. Such a model enables a transparent representation of the system. Moreover,
the model-based approach is extended by a parameter-estimation to account for
sudden changes in behavior e. g. caused by occurring cracks.
article_number: '114399'
article_type: original
author:
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
citation:
ama: 'Bender A. Model-based condition monitoring of piezoelectric bending actuators.
Sensors and Actuators A: Physical. 2023;357. doi:10.1016/j.sna.2023.114399'
apa: 'Bender, A. (2023). Model-based condition monitoring of piezoelectric bending
actuators. Sensors and Actuators A: Physical, 357, Article 114399.
https://doi.org/10.1016/j.sna.2023.114399'
bibtex: '@article{Bender_2023, title={Model-based condition monitoring of piezoelectric
bending actuators}, volume={357}, DOI={10.1016/j.sna.2023.114399},
number={114399}, journal={Sensors and Actuators A: Physical}, publisher={Elsevier
BV}, author={Bender, Amelie}, year={2023} }'
chicago: 'Bender, Amelie. “Model-Based Condition Monitoring of Piezoelectric Bending
Actuators.” Sensors and Actuators A: Physical 357 (2023). https://doi.org/10.1016/j.sna.2023.114399.'
ieee: 'A. Bender, “Model-based condition monitoring of piezoelectric bending actuators,”
Sensors and Actuators A: Physical, vol. 357, Art. no. 114399, 2023, doi:
10.1016/j.sna.2023.114399.'
mla: 'Bender, Amelie. “Model-Based Condition Monitoring of Piezoelectric Bending
Actuators.” Sensors and Actuators A: Physical, vol. 357, 114399, Elsevier
BV, 2023, doi:10.1016/j.sna.2023.114399.'
short: 'A. Bender, Sensors and Actuators A: Physical 357 (2023).'
date_created: 2023-05-09T09:49:44Z
date_updated: 2023-05-09T09:53:31Z
department:
- _id: '151'
doi: 10.1016/j.sna.2023.114399
intvolume: ' 357'
keyword:
- Condition Monitoring
- Model-based approach Diagnostics
- Varying conditions
- Explainability
- Piezoelectric bending actuators
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://authors.elsevier.com/a/1h2WV3IC9dF7Hm
oa: '1'
publication: 'Sensors and Actuators A: Physical'
publication_identifier:
issn:
- 0924-4247
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Model-based condition monitoring of piezoelectric bending actuators
type: journal_article
user_id: '54290'
volume: 357
year: '2023'
...
---
_id: '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: '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'
...
---
_id: '9980'
abstract:
- lang: eng
text: Die Erfindung betrifft ein Gerät mit wenigstens einem elastisch verformbaren
Bauteil als Strukturteil und/oder Lagerteil, auf das im Betriebsverlauf von wechselnden
Betriebszuständen abhängige, unterschiedliche Verformungskräfte einwirken, die
zu einem die Bauteilnutzungsdauer begrenzenden Bauteilverschleiß führen, und mit
einer Einrichtung zur Bestimmung der Bauteilnutzungsdauer und einer verschleißbedingten
Bauteil-Restnutzungsdauer. Erfindungsgemäß wird ein sich zeitversetzt wiederholender,
jeweils gleicher Betriebszustand vorbestimmt, dem eine jeweils gleiche, periodisch
wirkende Verformungskraft zugeordnet ist, durch die das elastisch verformbare
Bauteilmaterial periodisch verformt wird, wobei durch Walkarbeit ein Energieeintrag
mit einem messbaren Temperaturanstieg im Vergleich zu einer Umgebungstemperatur
erfolgt und wobei der jeweilige Temperaturanstieg als Kenngröße im Verlauf einer
Bauteilnutzungsdauer entsprechend einer abnehmenden Bauteilsteifigkeit größer
wird. Ein solcher vorbestimmter Betriebszustand wird jeweils von einer Messund
Auswerteeinheit erkannt und ein Messvorgang durch ein Startsignal selbsttätig
gestartet, wobei mit wenigstens einem bauteilzugeordneten Temperatursensor, der
aktuelle Temperaturanstieg im Vergleich zur Umgebungstemperatur als Kenngröße
für eine aktuelle Bauteilsteifigkeit gemessen und jeweils in einer Messkurve gespeichert
und verglichen wird.
application_date: 02.02.2017
application_number: 10 2017 000 926.0
author:
- first_name: Kai
full_name: Reinke, Kai
last_name: Reinke
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: Tobias
full_name: Meyer, Tobias
last_name: Meyer
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: James Kuria
full_name: Kimotho, James Kuria
last_name: Kimotho
citation:
ama: 'Reinke K, Bender A, Meyer T, Sextro W, Kimotho JK. Patent DE 10 2017 000 926
B4: Gerät mit wenigstens einem elastisch verformbaren Bauteil, insbesondere einem
Gummi-Metall-Lager und mit einer Einrichtung zur Feststellung des Beginns einer
verschleißbedingten Bauteil-Restnutzungsdauer, sowie Verfahren zur Bestimmung
der Bauteil-Restnutzungsdauer. Published online 2022.'
apa: 'Reinke, K., Bender, A., Meyer, T., Sextro, W., & Kimotho, J. K. (2022).
Patent DE 10 2017 000 926 B4: Gerät mit wenigstens einem elastisch verformbaren
Bauteil, insbesondere einem Gummi-Metall-Lager und mit einer Einrichtung zur Feststellung
des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer, sowie Verfahren
zur Bestimmung der Bauteil-Restnutzungsdauer.'
bibtex: '@article{Reinke_Bender_Meyer_Sextro_Kimotho_2022, title={Patent DE 10 2017
000 926 B4: Gerät mit wenigstens einem elastisch verformbaren Bauteil, insbesondere
einem Gummi-Metall-Lager und mit einer Einrichtung zur Feststellung des Beginns
einer verschleißbedingten Bauteil-Restnutzungsdauer, sowie Verfahren zur Bestimmung
der Bauteil-Restnutzungsdauer.}, author={Reinke, Kai and Bender, Amelie and Meyer,
Tobias and Sextro, Walter and Kimotho, James Kuria}, year={2022} }'
chicago: 'Reinke, Kai, Amelie Bender, Tobias Meyer, Walter Sextro, and James Kuria
Kimotho. “Patent DE 10 2017 000 926 B4: Gerät Mit Wenigstens Einem Elastisch Verformbaren
Bauteil, Insbesondere Einem Gummi-Metall-Lager Und Mit Einer Einrichtung Zur Feststellung
Des Beginns Einer Verschleißbedingten Bauteil-Restnutzungsdauer, Sowie Verfahren
Zur Bestimmung Der Bauteil-Restnutzungsdauer.,” 2022.'
ieee: 'K. Reinke, A. Bender, T. Meyer, W. Sextro, and J. K. Kimotho, “Patent DE
10 2017 000 926 B4: Gerät mit wenigstens einem elastisch verformbaren Bauteil,
insbesondere einem Gummi-Metall-Lager und mit einer Einrichtung zur Feststellung
des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer, sowie Verfahren
zur Bestimmung der Bauteil-Restnutzungsdauer.” 2022.'
mla: 'Reinke, Kai, et al. Patent DE 10 2017 000 926 B4: Gerät Mit Wenigstens
Einem Elastisch Verformbaren Bauteil, Insbesondere Einem Gummi-Metall-Lager Und
Mit Einer Einrichtung Zur Feststellung Des Beginns Einer Verschleißbedingten Bauteil-Restnutzungsdauer,
Sowie Verfahren Zur Bestimmung Der Bauteil-Restnutzungsdauer. 2022.'
short: K. Reinke, A. Bender, T. Meyer, W. Sextro, J.K. Kimotho, (2022).
date_created: 2019-05-27T09:44:22Z
date_updated: 2023-09-28T09:48:38Z
ddc:
- '620'
department:
- _id: '151'
file:
- access_level: closed
content_type: application/pdf
creator: ekubi
date_created: 2022-09-07T05:04:49Z
date_updated: 2022-09-07T05:04:49Z
file_id: '33276'
file_name: DE102017000926B4_1.pdf
file_size: 244882
relation: main_file
success: 1
file_date_updated: 2022-09-07T05:04:49Z
has_accepted_license: '1'
ipc: G01M 7/00 (2006.01)
ipn: 'DE: 10 2017 000 926 B4 '
page: '1'
publication_date: 31.03.2022
status: public
title: 'Patent DE 10 2017 000 926 B4: Gerät mit wenigstens einem elastisch verformbaren
Bauteil, insbesondere einem Gummi-Metall-Lager und mit einer Einrichtung zur Feststellung
des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer, sowie Verfahren
zur Bestimmung der Bauteil-Restnutzungsdauer.'
type: patent
user_id: '210'
year: '2022'
...
---
_id: '27652'
abstract:
- lang: ger
text: "Aufgrund der Fortschritte der Digitalisierung finden Systeme zur Zustandsüberwachung
vermehrt Einsatz in der Industrie, um durch eine zustandsbasierte oder eine prädiktive
Instandhaltung Vorteile, wie eine verbesserte Zuverlässigkeit und geringere Kosten
zu erzielen. Dabei beruhen Zustandsüberwachungssysteme auf den folgenden Bausteinen:
Sensorik, Datenvorverarbeitung, Merkmalsextraktion und -auswahl, Diagnose bzw.
Prognose sowie einer Entscheidungsfindung basierend auf den Ergebnissen. Jeder
dieser Bausteine erfordert individuelle Einstellungen, um ein geeignetes Zustandsüberwachungssystem
für die jeweilige Anwendung zu entwickeln. Eine offene Fragestellung im Bereich
der Zustandsüberwachung ergibt sich aufgrund der Unsicherheit der Zukunft, die
sich in den zukünftigen Betriebs- und Umgebungsbedingungen zeigt. Diese Unsicherheit
gilt es in allen Bausteinen zu berücksichtigen.\r\nDieser Beitrag konzentriert
sich auf den Baustein Merkmalsextraktion und -selektion, mit dem Ziel anhand geeigneter
Merkmale eine Prognose der nutzbaren Restlebensdauer mit hoher Genauigkeit realisieren
zu können. Daher werden geeignete Merkmale aus dem Zeitbereich und daraus abgeleitete
Zustandsindikatoren für die Restlebensdauerprognose von technischen Systemen vorgestellt.
Dabei sind Zustandsindikatoren Kenngrößen zur Beobachtung des Zustands der kritischen
Systemkomponenten. Anhand dreier Anwendungsbeispiele wird ihre Eignung evaluiert.
Dabei werden Daten aus Lebensdauerversuchen unter instationären Betriebs- und
Umgebungsbedingungen ausgewertet. Die auftretenden Unsicherheiten der Zukunft
werden somit berücksichtigt. Die Beispielsysteme beruhen auf Gummi-Metall-Elementen
und Wälzlagern. Aus den generierten Ergebnissen lässt sich schließen, dass die
Zustandsindikatoren aus der betrachteten Zeitreihen-Toolbox auch unter unbekannten
Betriebs- und Umgebungsbedingungen robust sind.\r\n"
- lang: eng
text: "Due to the advances in digitalization, condition monitoring systems have
found numerous applications in the industry due to benefits such as improved reliability
and lowered costs through condition-based or predictive maintenance. Condition
monitoring systems typically involve elements, such as data acquisition via suitable
sensors, data preprocessing, feature extraction and selection, diagnostics, prognostics
and (maintenance) decisions based on diagnosis or prognosis. For the application-specific
development of a suitable condition monitoring system, each of these elements
requires individual settings. Due to the uncertainty of the future, an open question
arises in the condition monitoring field, which is reflected in unknown future
operating and environmental conditions. This uncertainty needs consideration in
all elements of a condition monitoring system.\r\nThis article focuses on feature
extraction and selection, building on the hypothesis that the remaining useful
life of a technical system can be predicted with high accuracy utilizing suitable
features. In this article, health indicators derived from time-domain features
that permit the monitoring of the health of critical system components are presented
for predicting the remaining useful life of technical systems. Three distinct
application examples based on rubber-metal elements and rolling-element bearings
are evaluated to validate the suitability of the presented methods. Experimental
data from accelerated lifetime tests conducted under non-stationary operating
and environmental conditions are considered to take possible future uncertainties
into account. It can be concluded from the acquired results that health indicators
derived from the presented time series toolbox are robust to varying operating
and environmental conditions.\r\n"
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. Extraktion und Selektion geeigneter Merkmale
für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen Unsicherheiten
. In: VDI-Berichte 2391. VDI Verlag GmbH; 2021:197-210.'
apa: Aimiyekagbon, O. K., Bender, A., & Sextro, W. (2021). Extraktion und Selektion
geeigneter Merkmale für die Restlebensdauerprognose von technischen Systemen trotz
aleatorischen Unsicherheiten . VDI-Berichte 2391, 197–210.
bibtex: '@inproceedings{Aimiyekagbon_Bender_Sextro_2021, place={Düsseldorf}, title={Extraktion
und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen
Systemen trotz aleatorischen Unsicherheiten }, booktitle={VDI-Berichte 2391},
publisher={VDI Verlag GmbH}, author={Aimiyekagbon, Osarenren Kennedy and Bender,
Amelie and Sextro, Walter}, year={2021}, pages={197–210} }'
chicago: 'Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “Extraktion
und Selektion geeigneter Merkmale für die Restlebensdauerprognose von technischen
Systemen trotz aleatorischen Unsicherheiten .” In VDI-Berichte 2391, 197–210.
Düsseldorf: VDI Verlag GmbH, 2021.'
ieee: O. K. Aimiyekagbon, A. Bender, and W. Sextro, “Extraktion und Selektion geeigneter
Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen
Unsicherheiten ,” in VDI-Berichte 2391, Würzburg, 2021, pp. 197–210.
mla: Aimiyekagbon, Osarenren Kennedy, et al. “Extraktion und Selektion geeigneter
Merkmale für die Restlebensdauerprognose von technischen Systemen trotz aleatorischen
Unsicherheiten .” VDI-Berichte 2391, VDI Verlag GmbH, 2021, pp. 197–210.
short: 'O.K. Aimiyekagbon, A. Bender, W. Sextro, in: VDI-Berichte 2391, VDI Verlag
GmbH, Düsseldorf, 2021, pp. 197–210.'
conference:
end_date: 2021-11-17
location: Würzburg
name: '3. VDI-Fachtagung '
start_date: 2021-11-16
date_created: 2021-11-22T07:42:44Z
date_updated: 2022-01-06T06:57:43Z
department:
- _id: '151'
keyword:
- run-to-failure
- rubber-metal element
- bearing prognostics
- non-stationary operating conditions
- varying operating conditions
- feature extraction
- feature selection
language:
- iso: ger
page: 197 - 210
place: Düsseldorf
publication: VDI-Berichte 2391
publication_identifier:
isbn:
- 978-3-18-092391-8
issn:
- '0083-5560 '
publication_status: published
publisher: VDI Verlag GmbH
status: public
title: 'Extraktion und Selektion geeigneter Merkmale für die Restlebensdauerprognose
von technischen Systemen trotz aleatorischen Unsicherheiten '
type: conference
user_id: '9557'
year: '2021'
...
---
_id: '25046'
abstract:
- lang: eng
text: While increasing digitalization enables multiple advantages for a
reliable operation of technical systems, a remaining challenge in the context
of condition monitoring is seen in suitable consideration of uncertainties affecting
the monitored system. Therefore, a suitable prognostic approach to predict the
remaining useful lifetime of complex technical systems is required. To handle
different kinds of uncertainties, a novel Multi-Model-Particle Filtering-based
prognostic approach is developed and evaluated by the use case of rubber-metal-elements.
These elements are maintained preventively due to the strong influence of uncertainties
on their behavior. In this paper, two measurement quantities are compared concerning
their ability to establish a prediction of the remaining useful lifetime of the
monitored elements and the influence of present uncertainties. Based on three
performance indices, the results are evaluated. A comparison with predictions
of a classical Particle Filter underlines the superiority of the developed Multi-Model-Particle
Filter. Finally, the value of the developed method for enabling condition monitoring
of technical systems related to uncertainties is given exemplary by a comparison
between the preventive and the predictive maintenance strategy for the use case.
article_number: '210'
article_type: original
author:
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
citation:
ama: Bender A. A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider
Uncertainties in RUL Predictions. Machines. 2021;9(10). doi:10.3390/machines9100210
apa: Bender, A. (2021). A Multi-Model-Particle Filtering-Based Prognostic Approach
to Consider Uncertainties in RUL Predictions. Machines, 9(10), Article
210. https://doi.org/10.3390/machines9100210
bibtex: '@article{Bender_2021, title={A Multi-Model-Particle Filtering-Based Prognostic
Approach to Consider Uncertainties in RUL Predictions}, volume={9}, DOI={10.3390/machines9100210},
number={10210}, journal={Machines}, author={Bender, Amelie}, year={2021} }'
chicago: Bender, Amelie. “A Multi-Model-Particle Filtering-Based Prognostic Approach
to Consider Uncertainties in RUL Predictions.” Machines 9, no. 10 (2021).
https://doi.org/10.3390/machines9100210.
ieee: 'A. Bender, “A Multi-Model-Particle Filtering-Based Prognostic Approach to
Consider Uncertainties in RUL Predictions,” Machines, vol. 9, no. 10, Art.
no. 210, 2021, doi: 10.3390/machines9100210.'
mla: Bender, Amelie. “A Multi-Model-Particle Filtering-Based Prognostic Approach
to Consider Uncertainties in RUL Predictions.” Machines, vol. 9, no. 10,
210, 2021, doi:10.3390/machines9100210.
short: A. Bender, Machines 9 (2021).
date_created: 2021-09-27T07:07:58Z
date_updated: 2022-11-03T11:42:46Z
department:
- _id: '151'
doi: 10.3390/machines9100210
intvolume: ' 9'
issue: '10'
keyword:
- prognostics
- RUL predictions
- particle filter
- uncertainty consideration
- Multi-Model-Particle Filter
- model-based approach
- rubber-metal-elements
- predictive maintenance
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2075-1702/9/10/210
oa: '1'
publication: Machines
publication_identifier:
issn:
- 2075-1702
publication_status: published
quality_controlled: '1'
status: public
title: A Multi-Model-Particle Filtering-Based Prognostic Approach to Consider Uncertainties
in RUL Predictions
type: journal_article
user_id: '54290'
volume: 9
year: '2021'
...
---
_id: '21630'
abstract:
- lang: ger
text: Eine zustandsbasierte Instandhaltungsstrategie reduziert das Risiko eines
Ausfalls eines technischen Systems bei gleichzeitig hoher Ausnutzung und planbaren
Instandhaltungsmaßnahmen. Das Ziel dieser Arbeit liegt in der Entwicklung einer
Zustandsüberwachung für Gummi-Metall-Elemente. Die Herausforderungen dieser Zustandsüberwachung
leiten sich aus dem viskoelastischen Verhalten sowie dem komplexen Degradationsverhalten
der Elemente ab. Infolge der daraus resultierenden Unsicherheiten werden die Elemente
heutzutage präventiv instandgehalten. In Lebensdauerversuchen der Gummi-Metall-Elemente
werden drei Messgrößen detektiert. Dabei wird mit der Temperatur eine Messgröße
identifiziert, die am geeignetsten zur Beschreibung des Zustands der Elemente
ist. Generell wird die Genauigkeit einer Zustandsüberwachung durch verschiedene
Unsicherheiten beeinflusst. Für die Prognose der nutzbaren Restlebensdauer der
Gummi-Metall-Elemente wird das Partikelfilter, eine verbreitete modellbasierte
Methode zur Zustandsüberwachung technischer Systeme, weiterentwickelt, um Unsicherheiten
im Verhalten und der Degradation der Elemente zu berücksichtigen. Anhand der Ergebnisse
wird belegt, dass aufbauend auf dieser Zustandsüberwachung die Ausnutzung der
Gummi-Metall-Elemente in realen Anwendungen durch eine präventive Instandhaltung
erhöht werden kann. Damit bildet diese Arbeit die Basis für zukünftige, prädiktive
Instandhaltungskonzepte für diese Elemente. Weiterhin bestätigt die Arbeit, dass
eine Berücksichtigung vorliegender Unsicherheiten zu einem frühen Zeitpunkt im
Entwicklungsprozess des Zustandsüberwachungssystems empfehlenswert ist.
- lang: eng
text: With condition-based maintenance, the risk of system failure is reduced while
maximizing system utilization and ensuring a predictable maintenance schedule.
The aim of this thesis is the development of a condition monitoring system of
rubber-metal-elements. Due to the viscoelasticity and the complex degradation
behavior of the elements, they are currently maintained preventively. During lifetime
tests of the rubber-metal-elements, three measurement quantities are acquired.
Thereby, temperature is identified as the most suitable measurement quantity to
describe the rubber-metal-elements state. The accuracy of a condition monitoring
system is generally influenced by various uncertainties. To consider available
uncertainties within the behavior and the degradation of the elements, the particle
filter, a state-of-the-art model-based method for predicting remaining useful
life, is enhanced and employed. The results prove that the developed condition
monitoring system enables an increased utilization of rubber-metal-elements in
real applications through predictive maintenance. This thesis provides the basis
for future concepts of predictive maintenance for rubber-metal-elements. Moreover,
it is recommended to take uncertainties into account at an early stage of the
development process of condition monitoring systems.
author:
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
citation:
ama: Bender A. Zustandsüberwachung zur Prognose der Restlebensdauer von Gummi-Metall-Elementen
unter Berücksichtigung systembasierter Unsicherheiten. Shaker; 2021. doi:10.17619/UNIPB/1-1084
apa: Bender, A. (2021). Zustandsüberwachung zur Prognose der Restlebensdauer
von Gummi-Metall-Elementen unter Berücksichtigung systembasierter Unsicherheiten.
Shaker. https://doi.org/10.17619/UNIPB/1-1084
bibtex: '@book{Bender_2021, title={Zustandsüberwachung zur Prognose der Restlebensdauer
von Gummi-Metall-Elementen unter Berücksichtigung systembasierter Unsicherheiten},
DOI={10.17619/UNIPB/1-1084},
publisher={Shaker}, author={Bender, Amelie}, year={2021} }'
chicago: Bender, Amelie. Zustandsüberwachung zur Prognose der Restlebensdauer
von Gummi-Metall-Elementen unter Berücksichtigung systembasierter Unsicherheiten.
Shaker, 2021. https://doi.org/10.17619/UNIPB/1-1084.
ieee: A. Bender, Zustandsüberwachung zur Prognose der Restlebensdauer von Gummi-Metall-Elementen
unter Berücksichtigung systembasierter Unsicherheiten. Shaker, 2021.
mla: Bender, Amelie. Zustandsüberwachung zur Prognose der Restlebensdauer von
Gummi-Metall-Elementen unter Berücksichtigung systembasierter Unsicherheiten.
Shaker, 2021, doi:10.17619/UNIPB/1-1084.
short: A. Bender, Zustandsüberwachung zur Prognose der Restlebensdauer von Gummi-Metall-Elementen
unter Berücksichtigung systembasierter Unsicherheiten, Shaker, 2021.
date_created: 2021-04-15T10:29:53Z
date_updated: 2023-09-15T12:22:50Z
department:
- _id: '151'
doi: 10.17619/UNIPB/1-1084
keyword:
- Zustandsüberwachung
- Prognose der Restlebensdauer
- modellbasierte Prognose
- Partikelfilter
- Unsicherheiten
- Gummi
- Verlässlichkeit
- Lebensdauerversuche
- Predictive Maintenance
language:
- iso: ger
publisher: Shaker
status: public
supervisor:
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: Stefan
full_name: Bracke, Stefan
last_name: Bracke
title: Zustandsüberwachung zur Prognose der Restlebensdauer von Gummi-Metall-Elementen
unter Berücksichtigung systembasierter Unsicherheiten
type: dissertation
user_id: '210'
year: '2021'
...
---
_id: '22724'
abstract:
- lang: eng
text: "\r\nPredictive Maintenance as a desirable maintenance strategy in industrial
applications relies on suitable condition monitoring solutions to reduce costs
and risks of the monitored technical systems. In general, those solutions utilize
model-based or data-driven methods to diagnose the current state or predict future
states of monitored technical systems. However, both methods have their advantages
and drawbacks. Combining both methods can improve uncertainty consideration and
accuracy. Different combination approaches of those hybrid methods exist to exploit
synergy effects. The choice of an appropriate approach depends on different requirements
and the goal behind the selection of a hybrid approach.\r\n\r\n \r\n\r\nIn this
work, the hybrid approach for estimating remaining useful lifetime takes potential
uncertainties into account. Therefore, a data-driven estimation of new measurements
is integrated within a model-based method. To consider uncertainties within the
system, a differentiation between different system behavior is realized throughout
diverse states of degradation.\r\n\r\nThe developed hybrid prediction approach
bases on a particle filtering method combined with a machine learning method,
to estimate the remaining useful lifetime of technical systems. Particle filtering
as a Monte Carlo simulation technique is suitable to map and propagate uncertainties.
Moreover, it is a state-of-the-art model-based method for predicting remaining
useful lifetime of technical systems. To integrate uncertainties a multi-model
particle filtering approach is employed. In general, resampling as a part of the
particle filtering approach has the potential to lead to an accurate prediction.
However, in the case where no future measurements are available, it may increase
the uncertainty of the prediction. By estimating new measurements, those uncertainties
are reduced within the data-driven part of the approach. Hence, both parts of
the hybrid approach strive to account for and reduce uncertainties.\r\n\r\n \r\n\r\nRubber-metal-elements
are employed as a use-case to evaluate the developed approach. Rubber-metal-elements,
which are used to isolate vibrations in various systems, such as railways, trucks
and wind turbines, show various uncertainties in their behavior and their degradation.
Those uncertainties are caused by diverse inner and outer factors, such as manufacturing
influences and operating conditions. By expert knowledge the influences are described,
analyzed and if possible reduced. However, the remaining uncertainties are considered
within the hybrid prediction method. Relative temperature is the selected measurand
to describe the element’s degradation. In lifetime tests, it is measured as the
difference between the element’s temperature and the ambient temperature. Thereby,
the influence of the ambient temperature on the element’s temperature is taken
into account. Those elements show three typical states of degradation that are
identified within the temperature measurements. Depending on the particular state
of degradation a new measurement is estimated within the hybrid approach to reduce
potential uncertainties.\r\n\r\nFinally, the performance of the developed hybrid
method is compared to a model-based method for estimating the remaining useful
lifetime of the same elements. Suitable performance indices are implemented to
underline the differences between the results."
author:
- 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: 'Bender A, Sextro W. Hybrid Prediction Method for Remaining Useful Lifetime
Estimation Considering Uncertainties. In: Do P, King S, Fink Olga, eds. Proceedings
of the European Conference of the PHM Society 2021. Vol 6. ; 2021. doi:https://doi.org/10.36001/phme.2021.v6i1.2843
'
apa: Bender, A., & Sextro, W. (2021). Hybrid Prediction Method for Remaining
Useful Lifetime Estimation Considering Uncertainties. In P. Do, S. King, & Olga
Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021
(Vol. 6, Issue 1). https://doi.org/10.36001/phme.2021.v6i1.2843
bibtex: '@inproceedings{Bender_Sextro_2021, title={Hybrid Prediction Method for
Remaining Useful Lifetime Estimation Considering Uncertainties}, volume={6}, DOI={https://doi.org/10.36001/phme.2021.v6i1.2843
}, number={1}, booktitle={Proceedings of the European Conference of the PHM
Society 2021}, author={Bender, Amelie and Sextro, Walter}, editor={Do, Phuc and
King, Steve and Fink, Olga}, year={2021} }'
chicago: Bender, Amelie, and Walter Sextro. “Hybrid Prediction Method for Remaining
Useful Lifetime Estimation Considering Uncertainties.” In Proceedings of the
European Conference of the PHM Society 2021, edited by Phuc Do, Steve King,
and Olga Fink, Vol. 6, 2021. https://doi.org/10.36001/phme.2021.v6i1.2843 .
ieee: 'A. Bender and W. Sextro, “Hybrid Prediction Method for Remaining Useful Lifetime
Estimation Considering Uncertainties,” in Proceedings of the European Conference
of the PHM Society 2021, 2021, vol. 6, no. 1, doi: https://doi.org/10.36001/phme.2021.v6i1.2843 .'
mla: Bender, Amelie, and Walter Sextro. “Hybrid Prediction Method for Remaining
Useful Lifetime Estimation Considering Uncertainties.” Proceedings of the European
Conference of the PHM Society 2021, edited by Phuc Do et al., vol. 6, no.
1, 2021, doi:https://doi.org/10.36001/phme.2021.v6i1.2843
.
short: 'A. Bender, W. Sextro, in: P. Do, S. King, Olga Fink (Eds.), Proceedings
of the European Conference of the PHM Society 2021, 2021.'
conference:
end_date: 2021-07-02
name: 6th European Conference of Prognostics and Health Management
start_date: 2021-06-28
date_created: 2021-07-14T06:29:08Z
date_updated: 2023-09-22T07:19:48Z
department:
- _id: '151'
doi: 'https://doi.org/10.36001/phme.2021.v6i1.2843 '
editor:
- first_name: 'Phuc '
full_name: 'Do, Phuc '
last_name: Do
- first_name: Steve
full_name: King, Steve
last_name: King
- first_name: ' Olga'
full_name: Fink, Olga
last_name: Fink
intvolume: ' 6'
issue: '1'
keyword:
- Hybrid prediction method
- Multi-model particle filtering
- Uncertainty quantification
- RUL estimation
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://papers.phmsociety.org/index.php/phme/article/view/2843
oa: '1'
publication: Proceedings of the European Conference of the PHM Society 2021
publication_identifier:
unknown:
- 978-1-936263-34-9
publication_status: published
quality_controlled: '1'
status: public
title: Hybrid Prediction Method for Remaining Useful Lifetime Estimation Considering
Uncertainties
type: conference
user_id: '54290'
volume: 6
year: '2021'
...
---
_id: '22507'
abstract:
- lang: eng
text: Several methods, including order analysis, wavelet analysis and empirical
mode decomposition have been proposed and successfully employed for the health
state estimation of technical systems operating under varying conditions. However,
where information such as the speed of rotating machinery, component specifications
or other domain-specific information is unavailable, such methods are often infeasible.
Thus, this paper investigates the application of classical time-domain features,
features from the medical field and novel features from the highly comparative
time-series analysis (HCTSA) package, for the health state estimation of rotating
machinery operating under varying conditions. Furthermore, several feature selection
methods are investigated to identify features as viable health indicators for
the diagnostics and prognostics of technical systems. As a case study, the presented
methods are evaluated on real-world and experimentally acquired vibration data
of bearings operating under varying speed. The results show that the selected
features can successfully be employed as health indicators for technical systems
operating under varying conditions.
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.
In: Proceedings of the Seventeenth International Conference on Condition Monitoring
and Asset Management (CM 2021).'
apa: Aimiyekagbon, O. K., Bender, A., & Sextro, W. (n.d.). On the applicability
of time series features as health indicators for technical systems operating under
varying conditions. Proceedings of the Seventeenth International Conference
on Condition Monitoring and Asset Management (CM 2021). Seventeenth International
Conference on Condition Monitoring and Asset Management (CM 2021).
bibtex: '@inproceedings{Aimiyekagbon_Bender_Sextro, title={On the applicability
of time series features as health indicators for technical systems operating under
varying conditions}, booktitle={Proceedings of the Seventeenth International Conference
on Condition Monitoring and Asset Management (CM 2021)}, author={Aimiyekagbon,
Osarenren Kennedy and Bender, Amelie and Sextro, Walter} }'
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.” In Proceedings of the Seventeenth International
Conference on Condition Monitoring and Asset Management (CM 2021), n.d.
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,” presented at the Seventeenth International Conference on Condition
Monitoring and Asset Management (CM 2021).
mla: Aimiyekagbon, Osarenren Kennedy, et al. “On the Applicability of Time Series
Features as Health Indicators for Technical Systems Operating under Varying Conditions.”
Proceedings of the Seventeenth International Conference on Condition Monitoring
and Asset Management (CM 2021).
short: 'O.K. Aimiyekagbon, A. Bender, W. Sextro, in: Proceedings of the Seventeenth
International Conference on Condition Monitoring and Asset Management (CM 2021),
n.d.'
conference:
end_date: 2021-06-18
name: Seventeenth International Conference on Condition Monitoring and Asset Management
(CM 2021)
start_date: 2021-06-14
date_created: 2021-06-23T05:24:39Z
date_updated: 2023-09-22T08:10:34Z
ddc:
- '620'
department:
- _id: '151'
file:
- access_level: open_access
content_type: application/pdf
creator: kennedy
date_created: 2021-06-23T06:43:44Z
date_updated: 2021-06-23T06:50:07Z
description: 'This is a post-print version of the article presented at the Seventeenth
International Con-ference on Condition Monitoring and Asset Management (CM 2021).
The event websiteis available at: https://www.bindt.org/events/CM-2021/ and the
abstract is available at:https://www.bindt.org/events/CM-2021/abstract-9a7/.'
file_id: '22508'
file_name: Aimiyekagbon_et_al_2021_On_the_applicability_of_time_series_features_as_health_indicators_postPrint.pdf
file_size: 1875572
relation: main_file
title: On the applicability of time series features as health indicators for technical
systems operating under varying conditions
file_date_updated: 2021-06-23T06:50:07Z
has_accepted_license: '1'
keyword:
- Wind turbine diagnostics
- bearing diagnostics
- non-stationary operating conditions
- varying operating conditions
- feature extraction
- feature selection
- fault detection
- failure detection
language:
- iso: eng
oa: '1'
publication: Proceedings of the Seventeenth International Conference on Condition
Monitoring and Asset Management (CM 2021)
publication_status: inpress
quality_controlled: '1'
status: public
title: On the applicability of time series features as health indicators for technical
systems operating under varying conditions
type: conference
user_id: '9557'
year: '2021'
...
---
_id: '27111'
abstract:
- lang: eng
text: In the industry 4.0 era, there is a growing need to transform unstructured
data acquired by a multitude of sources into information and subsequently into
knowledge to improve the quality of manufactured products, to boost production,
for predictive maintenance, etc. Data-driven approaches, such as machine learning
techniques, are typically employed to model the underlying relationship from data.
However, an increase in model accuracy with state-of-the-art methods, such as
deep convolutional neural networks, results in less interpretability and transparency.
Due to the ease of implementation, interpretation and transparency to both domain
experts and non-experts, a rule-based method is proposed in this paper, for prognostics
and health management (PHM) and specifically for diagnostics. The proposed method
utilizes the most relevant sensor signals acquired via feature extraction and
selection techniques and expert knowledge. As a case study, the presented method
is evaluated on data from a real-world quality control set-up provided by the
European prognostics and health management society (PHME) at the conference’s
2021 data challenge. With the proposed method, our team took the third place,
capable of successfully diagnosing different fault modes, irrespective of varying
conditions.
author:
- first_name: Osarenren Kennedy
full_name: Aimiyekagbon, Osarenren Kennedy
id: '9557'
last_name: Aimiyekagbon
- first_name: Lars
full_name: Muth, Lars
id: '77313'
last_name: Muth
orcid: 0000-0002-2938-5616
- first_name: Meike Claudia
full_name: Wohlleben, Meike Claudia
id: '43991'
last_name: Wohlleben
orcid: 0009-0009-9767-7168
- 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, Muth L, Wohlleben MC, Bender A, Sextro W. Rule-based Diagnostics
of a Production Line. In: Do P, King S, Fink O, eds. Proceedings of the European
Conference of the PHM Society 2021. Vol 6. ; 2021:527-536. doi:10.36001/phme.2021.v6i1.3042'
apa: Aimiyekagbon, O. K., Muth, L., Wohlleben, M. C., Bender, A., & Sextro,
W. (2021). Rule-based Diagnostics of a Production Line. In P. Do, S. King, &
O. Fink (Eds.), Proceedings of the European Conference of the PHM Society 2021
(Vol. 6, Issue 1, pp. 527–536). https://doi.org/10.36001/phme.2021.v6i1.3042
bibtex: '@inproceedings{Aimiyekagbon_Muth_Wohlleben_Bender_Sextro_2021, title={Rule-based
Diagnostics of a Production Line}, volume={6}, DOI={10.36001/phme.2021.v6i1.3042},
number={1}, booktitle={Proceedings of the European Conference of the PHM Society
2021}, author={Aimiyekagbon, Osarenren Kennedy and Muth, Lars and Wohlleben, Meike
Claudia and Bender, Amelie and Sextro, Walter}, editor={Do, Phuc and King, Steve
and Fink, Olga}, year={2021}, pages={527–536} }'
chicago: Aimiyekagbon, Osarenren Kennedy, Lars Muth, Meike Claudia Wohlleben, Amelie
Bender, and Walter Sextro. “Rule-Based Diagnostics of a Production Line.” In Proceedings
of the European Conference of the PHM Society 2021, edited by Phuc Do, Steve
King, and Olga Fink, 6:527–36, 2021. https://doi.org/10.36001/phme.2021.v6i1.3042.
ieee: 'O. K. Aimiyekagbon, L. Muth, M. C. Wohlleben, A. Bender, and W. Sextro, “Rule-based
Diagnostics of a Production Line,” in Proceedings of the European Conference
of the PHM Society 2021, 2021, vol. 6, no. 1, pp. 527–536, doi: 10.36001/phme.2021.v6i1.3042.'
mla: Aimiyekagbon, Osarenren Kennedy, et al. “Rule-Based Diagnostics of a Production
Line.” Proceedings of the European Conference of the PHM Society 2021,
edited by Phuc Do et al., vol. 6, no. 1, 2021, pp. 527–36, doi:10.36001/phme.2021.v6i1.3042.
short: 'O.K. Aimiyekagbon, L. Muth, M.C. Wohlleben, A. Bender, W. Sextro, in: P.
Do, S. King, O. Fink (Eds.), Proceedings of the European Conference of the PHM
Society 2021, 2021, pp. 527–536.'
conference:
name: PHM Society European Conference
date_created: 2021-11-03T12:26:39Z
date_updated: 2023-09-22T09:13:01Z
department:
- _id: '151'
doi: 10.36001/phme.2021.v6i1.3042
editor:
- first_name: Phuc
full_name: Do, Phuc
last_name: Do
- first_name: Steve
full_name: King, Steve
last_name: King
- first_name: Olga
full_name: Fink, Olga
last_name: Fink
intvolume: ' 6'
issue: '1'
keyword:
- PHME 2021
- Feature Selection Classification
- Feature Selection Clustering
- Interpretable Model
- Transparent Model
- Industry 4.0
- Real-World Diagnostics
- Quality Control
- Predictive Maintenance
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://papers.phmsociety.org/index.php/phme/article/download/3042/1812
oa: '1'
page: 527-536
publication: Proceedings of the European Conference of the PHM Society 2021
publication_status: published
quality_controlled: '1'
status: public
title: Rule-based Diagnostics of a Production Line
type: conference
user_id: '9557'
volume: 6
year: '2021'
...
---
_id: '17810'
abstract:
- lang: eng
text: In all fields, the significance of a reliable and accurate predictive model
is almost unquantifiable. With deep domain knowledge, models derived from first
principles typically outperforms other models in terms of reliability and accuracy.
When it may become a cumbersome or an unachievable task to build or validate such
models of complex (non-linear) systems, machine learning techniques are employed
to build predictive models. However, the accuracy of such techniques is not only
dependent on the hyper-parameters of the chosen algorithm, but also on the amount
and quality of data. This paper investigates the application of classical time
series forecasting approaches for the reliable prognostics of technical systems,
where black box machine learning techniques might not successfully be employed
given insufficient amount of data and where first principles models are infeasible
due to lack of domain specific data. Forecasting by analogy, forecasting by analytical
function fitting, an exponential smoothing forecasting method and the long short-term
memory (LSTM) are evaluated and compared against the ground truth data. As a case
study, the methods are applied to predict future crack lengths of riveted aluminium
plates under cyclic loading. The performance of the predictive models is evaluated
based on error metrics leading to a proposal of when to apply which forecasting
approach.
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. Evaluation of time series forecasting
approaches for the reliable crack length prediction of riveted aluminium plates
given insufficient data. In: PHM Society European Conference. Vol 5. ;
2020.'
apa: Aimiyekagbon, O. K., Bender, A., & Sextro, W. (2020). Evaluation of time
series forecasting approaches for the reliable crack length prediction of riveted
aluminium plates given insufficient data. PHM Society European Conference,
5(1).
bibtex: '@inproceedings{Aimiyekagbon_Bender_Sextro_2020, title={Evaluation of time
series forecasting approaches for the reliable crack length prediction of riveted
aluminium plates given insufficient data}, volume={5}, number={1}, booktitle={PHM
Society European Conference}, author={Aimiyekagbon, Osarenren Kennedy and Bender,
Amelie and Sextro, Walter}, year={2020} }'
chicago: Aimiyekagbon, Osarenren Kennedy, Amelie Bender, and Walter Sextro. “Evaluation
of Time Series Forecasting Approaches for the Reliable Crack Length Prediction
of Riveted Aluminium Plates given Insufficient Data.” In PHM Society European
Conference, Vol. 5, 2020.
ieee: O. K. Aimiyekagbon, A. Bender, and W. Sextro, “Evaluation of time series forecasting
approaches for the reliable crack length prediction of riveted aluminium plates
given insufficient data,” in PHM Society European Conference, 2020, vol.
5, no. 1.
mla: Aimiyekagbon, Osarenren Kennedy, et al. “Evaluation of Time Series Forecasting
Approaches for the Reliable Crack Length Prediction of Riveted Aluminium Plates
given Insufficient Data.” PHM Society European Conference, vol. 5, no.
1, 2020.
short: 'O.K. Aimiyekagbon, A. Bender, W. Sextro, in: PHM Society European Conference,
2020.'
date_created: 2020-08-11T13:32:40Z
date_updated: 2023-09-22T09:13:16Z
department:
- _id: '151'
intvolume: ' 5'
issue: '1'
keyword:
- PHM 2019
- crack propagation
- forecasting
- unevenly spaced time series
- step ahead prediction
- short time series
language:
- iso: eng
publication: PHM Society European Conference
quality_controlled: '1'
status: public
title: Evaluation of time series forecasting approaches for the reliable crack length
prediction of riveted aluminium plates given insufficient data
type: conference
user_id: '9557'
volume: 5
year: '2020'
...
---
_id: '9981'
abstract:
- lang: ger
text: Die Erfindung betrifft ein Gerät mit wenigstens einem elastisch verformbaren
Bauteil als Strukturteil und/oder Lagerteil, auf das im Betriebsverlauf von wechselnden
Betriebszuständen abhängige, unterschiedliche Verformungskräfte einwirken, die
zu einem die Bauteilnutzungsdauer begrenzenden Bauteilverschleiß führen, und mit
einer Einrichtung zur Bestimmung der Bauteilnutzungsdauer und einer verschleißbedingten
Bauteil-Restnutzungsdauer. Erfindungsgemäß wird ein sich zeitversetzt wiederholender,
jeweils gleicher Betriebszustand vorbestimmt, dem eine jeweils gleiche Verformungskraft
zugeordnet ist, durch die das elastisch verformbare Bauteilmaterial verformt wird.
Ein solcher vorbestimmter Betriebszustand wird jeweils von einer Mess- und Auswerteeinheit
erkannt und ein Messvorgang durch ein Startsignal selbsttätig gestartet, wobei
mit wenigstens einem bauteilzugeordneten Beschleunigungssensor, die aktuelle Beschleunigung
der Verformung oder daraus abgeleitete Kennwerte als Kenngröße für eine aktuelle
Bauteilsteifigkeit gemessen und jeweils in einer Messkurve gespeichert und verglichen
wird.
application_date: 01.02.2018
application_number: '18154730.8'
author:
- first_name: Kai
full_name: Reinke, Kai
last_name: Reinke
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: Tobias
full_name: Meyer, Tobias
last_name: Meyer
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: James Kuria
full_name: Kimotho, James Kuria
last_name: Kimotho
citation:
ama: 'Reinke K, Bender A, Meyer T, Sextro W, Kimotho JK. Patent EP 3 358 332 B1:
Verfahren zur Bestimmung des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer
eines elastisch verformbaren Bauteils, als Strukturteil und/oder Lagerteil eines
Geräts. Published online 2020.'
apa: 'Reinke, K., Bender, A., Meyer, T., Sextro, W., & Kimotho, J. K. (2020).
Patent EP 3 358 332 B1: Verfahren zur Bestimmung des Beginns einer verschleißbedingten
Bauteil-Restnutzungsdauer eines elastisch verformbaren Bauteils, als Strukturteil
und/oder Lagerteil eines Geräts.'
bibtex: '@article{Reinke_Bender_Meyer_Sextro_Kimotho_2020, title={Patent EP 3 358
332 B1: Verfahren zur Bestimmung des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer
eines elastisch verformbaren Bauteils, als Strukturteil und/oder Lagerteil eines
Geräts.}, author={Reinke, Kai and Bender, Amelie and Meyer, Tobias and Sextro,
Walter and Kimotho, James Kuria}, year={2020} }'
chicago: 'Reinke, Kai, Amelie Bender, Tobias Meyer, Walter Sextro, and James Kuria
Kimotho. “Patent EP 3 358 332 B1: Verfahren Zur Bestimmung Des Beginns Einer Verschleißbedingten
Bauteil-Restnutzungsdauer Eines Elastisch Verformbaren Bauteils, Als Strukturteil
Und/Oder Lagerteil Eines Geräts.,” 2020.'
ieee: 'K. Reinke, A. Bender, T. Meyer, W. Sextro, and J. K. Kimotho, “Patent EP
3 358 332 B1: Verfahren zur Bestimmung des Beginns einer verschleißbedingten Bauteil-Restnutzungsdauer
eines elastisch verformbaren Bauteils, als Strukturteil und/oder Lagerteil eines
Geräts.” 2020.'
mla: 'Reinke, Kai, et al. Patent EP 3 358 332 B1: Verfahren Zur Bestimmung Des
Beginns Einer Verschleißbedingten Bauteil-Restnutzungsdauer Eines Elastisch Verformbaren
Bauteils, Als Strukturteil Und/Oder Lagerteil Eines Geräts. 2020.'
short: K. Reinke, A. Bender, T. Meyer, W. Sextro, J.K. Kimotho, (2020).
date_created: 2019-05-27T09:46:54Z
date_updated: 2023-09-28T09:49:19Z
ddc:
- '620'
department:
- _id: '151'
file:
- access_level: closed
content_type: application/pdf
creator: ekubi
date_created: 2022-09-07T05:17:34Z
date_updated: 2022-09-07T05:17:34Z
file_id: '33277'
file_name: EP000003358332B1_1.pdf
file_size: 115020
relation: main_file
success: 1
file_date_updated: 2022-09-07T05:17:34Z
has_accepted_license: '1'
ipc: G01M 13/00
ipn: EP 3 358 332 B1
page: '1'
publication_date: 15.07.2020
status: public
title: 'Patent EP 3 358 332 B1: Verfahren zur Bestimmung des Beginns einer verschleißbedingten
Bauteil-Restnutzungsdauer eines elastisch verformbaren Bauteils, als Strukturteil
und/oder Lagerteil eines Geräts.'
type: patent
user_id: '210'
year: '2020'
...
---
_id: '10255'
abstract:
- lang: eng
text: Gummi-Metall-Teile (GM-Teile) werden zur Schwingungsreduktion u. a. in Windenergieanlagen
eingesetzt. Mögliche Anwendungen der Teile liegen in Wellen-, Generator- und Getriebelagerungen,
Lagern für die Gondel und ihre Komponenten sowie in Drehmomentstützen. Mit dem
Ziel eine prädiktive Instandhaltung zu realisieren, soll eine Zustandsüberwachung
für die GM-Teile entwickelt werden. Diese Entwicklung basiert auf der Umsetzung
diverser Schritte. Neben der funktionalen Betrachtung wird zwingend auch die konstruktive
Integration der Sensoren in das überwachte Teil berücksichtigt. Der Schwerpunkt
dieser Arbeit liegt auf der verwendeten Messgröße Temperatur, die mittels ausgewählter
Sensorik detektiert wird. Dabei werden Lebensdauerversuche unter instationären
Betriebsbedingungen durchgeführt, um diese Messdaten zu generieren. In der Datenauswertung
werden sie hinsichtlich der Degradierung des GM-Teils analysiert und für die Ermittlung
der nutzbaren Restlebensdauer verwendet. Rubber-metal-elements are used for isolation
of vibrations e. g. in wind turbines. Possible applications of the elements are
shaft bearings, generator bearings, gearbox bearings, bearings for the nacelle
and its components and torque supports. In order to realize predictive maintenance,
an accurate condition monitoring system for rubber-metal-elements should be developed.
During that development different aspects have to be implemented. Additionally
to the functional analysis, the constructive integration of the sensors into the
monitored part is mandatory. The focus of this work is on the measured variable
temperature, which is detected by means of appropriate sensors. Thereby lifetime
tests are run under non-stationary operating conditions to generate temperature
measurements. During data analysis, the measured data is analyzed regarding the
degradation of the rubber-metal-elements and remaining useful lifetimes are estimated.
author:
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: Kai
full_name: Reinke, Kai
last_name: Reinke
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Bender A, Reinke K, Sextro W. Konstruktion und Zustandsüberwachung eines Gummi-Metall-Teils
mit integriertem Thermoelement. In: 10. VDI-Fachtagung Schwingungen von Windenergieanlagen
2019. Vol VDI-Berichte 2346. Bremen 2019; 2019:241-248.'
apa: Bender, A., Reinke, K., & Sextro, W. (2019). Konstruktion und Zustandsüberwachung
eines Gummi-Metall-Teils mit integriertem Thermoelement. In 10. VDI-Fachtagung
Schwingungen von Windenergieanlagen 2019 (Vol. VDI-Berichte 2346, pp. 241–248).
Bremen 2019.
bibtex: '@inproceedings{Bender_Reinke_Sextro_2019, place={Bremen 2019}, title={Konstruktion
und Zustandsüberwachung eines Gummi-Metall-Teils mit integriertem Thermoelement},
volume={VDI-Berichte 2346}, booktitle={10. VDI-Fachtagung Schwingungen von Windenergieanlagen
2019}, author={Bender, Amelie and Reinke, Kai and Sextro, Walter}, year={2019},
pages={241–248} }'
chicago: Bender, Amelie, Kai Reinke, and Walter Sextro. “Konstruktion Und Zustandsüberwachung
Eines Gummi-Metall-Teils Mit Integriertem Thermoelement.” In 10. VDI-Fachtagung
Schwingungen von Windenergieanlagen 2019, VDI-Berichte 2346:241–48. Bremen
2019, 2019.
ieee: A. Bender, K. Reinke, and W. Sextro, “Konstruktion und Zustandsüberwachung
eines Gummi-Metall-Teils mit integriertem Thermoelement,” in 10. VDI-Fachtagung
Schwingungen von Windenergieanlagen 2019, 2019, vol. VDI-Berichte 2346, pp.
241–248.
mla: Bender, Amelie, et al. “Konstruktion Und Zustandsüberwachung Eines Gummi-Metall-Teils
Mit Integriertem Thermoelement.” 10. VDI-Fachtagung Schwingungen von Windenergieanlagen
2019, vol. VDI-Berichte 2346, 2019, pp. 241–48.
short: 'A. Bender, K. Reinke, W. Sextro, in: 10. VDI-Fachtagung Schwingungen von
Windenergieanlagen 2019, Bremen 2019, 2019, pp. 241–248.'
date_created: 2019-06-17T09:36:23Z
date_updated: 2022-01-06T06:50:33Z
department:
- _id: '151'
language:
- iso: eng
page: 241-248
place: Bremen 2019
publication: 10. VDI-Fachtagung Schwingungen von Windenergieanlagen 2019
status: public
title: Konstruktion und Zustandsüberwachung eines Gummi-Metall-Teils mit integriertem
Thermoelement
type: conference
user_id: '55222'
volume: VDI-Berichte 2346
year: '2019'
...
---
_id: '13460'
abstract:
- lang: eng
text: 'Remaining useful lifetime (RUL) predictions as part of a condition monitoring
system are focused in more and more research and industrial applications. To establish
an efficient and precise estimate of the RUL of a technical product, different uncertainties have to be handled. To minimize the uncertainties of the RUL estimation, a reliable
and accurate prognostic approach as well as a good failure threshold are important.
Regarding the failure threshold, most often an expert sets a fixed failure threshold. However, neither the a priori known failure threshold nor a fixedthreshold
value are feasible in every application. Especially in the case of varying characteristics
of the monitored system, an adaptive failure threshold is of great importance
concerning the accuracy of the RUL estimation. Rubber-metal-elements, which are
used in a wide range of applications for vibration and sound isolation, are mon-itored
by thermocouples to allow for lifetime predictions. Therefore, the element’s state
is described by its temper-ature during its service life. Aiming to establish
accurate RUL predictions of a rubber-metal-element, uncertainties due to nonlinear
material characteristics and changing operational conditions have to be considered.
Consequently, different temperature-based failure threshold definitions are implemented
and compared within a particle filtering approach. '
author:
- first_name: Amelie
full_name: Bender, Amelie
id: '54290'
last_name: Bender
- first_name: Lennart
full_name: Schinke, Lennart
last_name: Schinke
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Bender A, Schinke L, Sextro W. Remaining useful lifetime prediction based
on adaptive failure thresholds. In: Beer M, Zio E, eds. Proceedings of the
29th European Safety and Reliability Conference (ESREL2019). ; 2019:1262-1269.'
apa: Bender, A., Schinke, L., & Sextro, W. (2019). Remaining useful lifetime
prediction based on adaptive failure thresholds. In M. Beer & E. Zio (Eds.),
Proceedings of the 29th European Safety and Reliability Conference (ESREL2019)
(Issue 29, pp. 1262–1269).
bibtex: '@inproceedings{Bender_Schinke_Sextro_2019, title={Remaining useful lifetime
prediction based on adaptive failure thresholds}, number={29}, booktitle={Proceedings
of the 29th European Safety and Reliability Conference (ESREL2019)}, author={Bender,
Amelie and Schinke, Lennart and Sextro, Walter}, editor={Beer, Michael and Zio,
Enrico}, year={2019}, pages={1262–1269} }'
chicago: Bender, Amelie, Lennart Schinke, and Walter Sextro. “Remaining Useful Lifetime
Prediction Based on Adaptive Failure Thresholds.” In Proceedings of the 29th
European Safety and Reliability Conference (ESREL2019), edited by Michael
Beer and Enrico Zio, 1262–69, 2019.
ieee: A. Bender, L. Schinke, and W. Sextro, “Remaining useful lifetime prediction
based on adaptive failure thresholds,” in Proceedings of the 29th European
Safety and Reliability Conference (ESREL2019), Hannover, 2019, no. 29, pp.
1262–1269.
mla: Bender, Amelie, et al. “Remaining Useful Lifetime Prediction Based on Adaptive
Failure Thresholds.” Proceedings of the 29th European Safety and Reliability
Conference (ESREL2019), edited by Michael Beer and Enrico Zio, no. 29, 2019,
pp. 1262–69.
short: 'A. Bender, L. Schinke, W. Sextro, in: M. Beer, E. Zio (Eds.), Proceedings
of the 29th European Safety and Reliability Conference (ESREL2019), 2019, pp.
1262–1269.'
conference:
end_date: 2019.09.26
location: Hannover
name: '29th European Safety and Reliability Conference '
start_date: 2019.09.22
date_created: 2019-09-30T08:49:19Z
date_updated: 2023-09-22T07:31:53Z
department:
- _id: '151'
editor:
- first_name: Michael
full_name: Beer, Michael
last_name: Beer
- first_name: Enrico
full_name: Zio, Enrico
last_name: Zio
issue: '29'
keyword:
- RUL prediction
- adaptive threshold
- prognostics
- condition monitoring
language:
- iso: eng
main_file_link:
- open_access: '1'
url: http://rpsonline.com.sg/proceedings/9789811127243/html/0445.xml
oa: '1'
page: 1262-1269
publication: Proceedings of the 29th European Safety and Reliability Conference (ESREL2019)
publication_identifier:
isbn:
- 978-981-11-2724-3
publication_status: published
quality_controlled: '1'
status: public
title: Remaining useful lifetime prediction based on adaptive failure thresholds
type: conference
user_id: '54290'
year: '2019'
...