---
_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'
...
---
_id: '34104'
abstract:
- lang: eng
text: 'ue to the constantly growing energy demand of power electronics and the need
to reduce the size of electronic components like power modules for e-mobility,
new challenges arise for ultrasonic wire bonding: the electrical connection must
endure higher thermal and mechanical stress while the connecting partners become
more sensitive or require more energy to get bonded. Past investigations have
shown already that multi-dimensional ultrasonic bonding and welding yield the
same or even better bond quality while reducing the load on the components. This
contribution is intended to show whether multidi-mensional thick wire bonding
is a promising concept to over-come the new challenges. The focus is on experimental
investi-gations of different bond tool trajectories in ultrasonic wire bonding
of aluminum and copper wire on DCB''s and chips. The bond quality is analyzed
by shear tests, microsections and, in the case of aluminum bonding, by a new machine
learning method for an objective automated evaluation of the sheared area.'
author:
- first_name: Claus
full_name: Scheidemann, Claus
id: '38259'
last_name: Scheidemann
- 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: 'Scheidemann C, Kirsch O, Hemsel T, Sextro W. Experimental Investigation of
Multidimensional Ultrasonic Heavy Wire Bonding. In: 2022 IEEE 9th Electronics
System-Integration Technology Conference (ESTC). IEEE; 2022. doi:10.1109/estc55720.2022.9939478'
apa: Scheidemann, C., Kirsch, O., Hemsel, T., & Sextro, W. (2022). Experimental
Investigation of Multidimensional Ultrasonic Heavy Wire Bonding. 2022 IEEE
9th Electronics System-Integration Technology Conference (ESTC). https://doi.org/10.1109/estc55720.2022.9939478
bibtex: '@inproceedings{Scheidemann_Kirsch_Hemsel_Sextro_2022, title={Experimental
Investigation of Multidimensional Ultrasonic Heavy Wire Bonding}, DOI={10.1109/estc55720.2022.9939478},
booktitle={2022 IEEE 9th Electronics System-Integration Technology Conference
(ESTC)}, publisher={IEEE}, author={Scheidemann, Claus and Kirsch, Olaf and Hemsel,
Tobias and Sextro, Walter}, year={2022} }'
chicago: Scheidemann, Claus, Olaf Kirsch, Tobias Hemsel, and Walter Sextro. “Experimental
Investigation of Multidimensional Ultrasonic Heavy Wire Bonding.” In 2022 IEEE
9th Electronics System-Integration Technology Conference (ESTC). IEEE, 2022.
https://doi.org/10.1109/estc55720.2022.9939478.
ieee: 'C. Scheidemann, O. Kirsch, T. Hemsel, and W. Sextro, “Experimental Investigation
of Multidimensional Ultrasonic Heavy Wire Bonding,” 2022, doi: 10.1109/estc55720.2022.9939478.'
mla: Scheidemann, Claus, et al. “Experimental Investigation of Multidimensional
Ultrasonic Heavy Wire Bonding.” 2022 IEEE 9th Electronics System-Integration
Technology Conference (ESTC), IEEE, 2022, doi:10.1109/estc55720.2022.9939478.
short: 'C. Scheidemann, O. Kirsch, T. Hemsel, W. Sextro, in: 2022 IEEE 9th Electronics
System-Integration Technology Conference (ESTC), IEEE, 2022.'
date_created: 2022-11-17T15:17:39Z
date_updated: 2023-09-22T12:24:18Z
department:
- _id: '151'
doi: 10.1109/estc55720.2022.9939478
language:
- iso: eng
publication: 2022 IEEE 9th Electronics System-Integration Technology Conference (ESTC)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Experimental Investigation of Multidimensional Ultrasonic Heavy Wire Bonding
type: conference
user_id: '38259'
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: '27508'
abstract:
- lang: eng
text: To analyze the influence of suspension kinematics on tire wear, detailed
simulation models are required. In this study, a non-linear, flexible multibody
model of a rear axle system is built up in the simulation software MSC Adams/View.
The physical model comprises the suspension kinematics, compliance, and dynamics
as well as the non-linear behavior of the tire using the FTire model. FTire is
chosen because it has a separate tire tread model to compute the contact pressure
and friction force distribution in the tire contact patch. To build up the simulation
model, a large amount of data is needed. Bushings, spring, and damper characteristics
are modeled based on measurements. For the structural components (e.g., control
arms), reverse engineering techniques are used. The components are 3D-scanned,
reworked, and included as a modal reduced finite element (FE)-model using component
mode synthesis by Craig–Bampton. Finally, the suspension model is validated by
comparing the simulated kinematic and compliance characteristics to experimental
results. To investigate the interaction of suspension kinematics and tire wear,
straight line driving events, such as acceleration, driving with constant velocity,
and deceleration, are simulated with different setups of wheel suspension kinematics.
The influence of the setups on the resulting friction work between tire and road
is examined, and an exemplarily calculation of tire wear based on a validated
FTire tire model is carried out. The results demonstrate, on the one hand, that
the chosen concept of elasto-kinematic axle leads to a relatively good match with
experimental results and, on the other hand, that there are significant possibilities
to reduce tire wear by adjusting the suspension kinematics.
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. Tire Wear Reduction Based on an Extended Multibody Rear
Axle Model. Vehicles. Published online 2021:233-256. doi:10.3390/vehicles3020015
apa: Schütte, J., & Sextro, W. (2021). Tire Wear Reduction Based on an Extended
Multibody Rear Axle Model. Vehicles, 233–256. https://doi.org/10.3390/vehicles3020015
bibtex: '@article{Schütte_Sextro_2021, title={Tire Wear Reduction Based on an Extended
Multibody Rear Axle Model}, DOI={10.3390/vehicles3020015},
journal={Vehicles}, author={Schütte, Jan and Sextro, Walter}, year={2021}, pages={233–256}
}'
chicago: Schütte, Jan, and Walter Sextro. “Tire Wear Reduction Based on an Extended
Multibody Rear Axle Model.” Vehicles, 2021, 233–56. https://doi.org/10.3390/vehicles3020015.
ieee: 'J. Schütte and W. Sextro, “Tire Wear Reduction Based on an Extended Multibody
Rear Axle Model,” Vehicles, pp. 233–256, 2021, doi: 10.3390/vehicles3020015.'
mla: Schütte, Jan, and Walter Sextro. “Tire Wear Reduction Based on an Extended
Multibody Rear Axle Model.” Vehicles, 2021, pp. 233–56, doi:10.3390/vehicles3020015.
short: J. Schütte, W. Sextro, Vehicles (2021) 233–256.
date_created: 2021-11-17T09:47:49Z
date_updated: 2024-05-27T07:49:17Z
department:
- _id: '151'
doi: 10.3390/vehicles3020015
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/2624-8921/3/2/15
oa: '1'
page: 233-256
publication: Vehicles
publication_identifier:
issn:
- 2624-8921
publication_status: published
quality_controlled: '1'
status: public
title: Tire Wear Reduction Based on an Extended Multibody Rear Axle Model
type: journal_article
user_id: '22109'
year: '2021'
...
---
_id: '21436'
abstract:
- lang: eng
text: Ultrasonic wire bonding is a solid-state joining process, used in the electronics
industry to form electrical connections, e.g. to connect electrical terminals
within semiconductor modules. Many process parameters affect the bond strength,
such like the bond normal force, ultrasonic power, wire material and bonding frequency.
Today, process design, development, and optimization is most likely based on the
knowledge of process engineers and is mainly performed by experimental testing.
In this contribution, a newly developed simulation tool is presented, to reduce
time and costs and efficiently determine optimized process parameter. Based on
a co-simulation of MATLAB and ANSYS, the different physical phenomena of the wire
bonding process are considered using finite element simulation for the complex
plastic deformation of the wire and reduced order models for the transient dynamics
of the transducer, wire, substrate and bond formation. The model parameters such
as the coefficients of friction between bond tool and wire and between wire and
substrate were determined for aluminium and copper wire in experiments with a
test rig specially developed for the requirements of heavy wire bonding. To reduce
simulation time, for the finite element simulation a restart analysis and high
performance computing is utilized. Detailed analysis of the bond formation showed,
that the normal pressure distribution in the contact between wire and substrate
has high impact on bond formation and distribution of welded areas in the contact
area.
author:
- first_name: Reinhard
full_name: Schemmel, Reinhard
id: '28647'
last_name: Schemmel
- first_name: Viktor
full_name: Krieger, Viktor
last_name: Krieger
- 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: Schemmel R, Krieger V, Hemsel T, Sextro W. Co-simulation of MATLAB and ANSYS
for ultrasonic wire bonding process optimization. Microelectronics Reliability.
2021;119:114077. doi:https://doi.org/10.1016/j.microrel.2021.114077
apa: Schemmel, R., Krieger, V., Hemsel, T., & Sextro, W. (2021). Co-simulation
of MATLAB and ANSYS for ultrasonic wire bonding process optimization. Microelectronics
Reliability, 119, 114077. https://doi.org/10.1016/j.microrel.2021.114077
bibtex: '@article{Schemmel_Krieger_Hemsel_Sextro_2021, title={Co-simulation of MATLAB
and ANSYS for ultrasonic wire bonding process optimization}, volume={119}, DOI={https://doi.org/10.1016/j.microrel.2021.114077},
journal={Microelectronics Reliability}, author={Schemmel, Reinhard and Krieger,
Viktor and Hemsel, Tobias and Sextro, Walter}, year={2021}, pages={114077} }'
chicago: 'Schemmel, Reinhard, Viktor Krieger, Tobias Hemsel, and Walter Sextro.
“Co-Simulation of MATLAB and ANSYS for Ultrasonic Wire Bonding Process Optimization.”
Microelectronics Reliability 119 (2021): 114077. https://doi.org/10.1016/j.microrel.2021.114077.'
ieee: 'R. Schemmel, V. Krieger, T. Hemsel, and W. Sextro, “Co-simulation of MATLAB
and ANSYS for ultrasonic wire bonding process optimization,” Microelectronics
Reliability, vol. 119, p. 114077, 2021, doi: https://doi.org/10.1016/j.microrel.2021.114077.'
mla: Schemmel, Reinhard, et al. “Co-Simulation of MATLAB and ANSYS for Ultrasonic
Wire Bonding Process Optimization.” Microelectronics Reliability, vol.
119, 2021, p. 114077, doi:https://doi.org/10.1016/j.microrel.2021.114077.
short: R. Schemmel, V. Krieger, T. Hemsel, W. Sextro, Microelectronics Reliability
119 (2021) 114077.
date_created: 2021-03-10T09:37:02Z
date_updated: 2023-09-21T14:15:33Z
department:
- _id: '151'
doi: https://doi.org/10.1016/j.microrel.2021.114077
intvolume: ' 119'
keyword:
- Ultrasonic heavy wire bonding
- Co-simulation
- ANSYS
- MATLAB
- Process optimization
- Friction coefficient
- Copper-copper
- Aluminium-copper
language:
- iso: eng
page: '114077'
publication: Microelectronics Reliability
publication_identifier:
issn:
- 0026-2714
publication_status: published
quality_controlled: '1'
status: public
title: Co-simulation of MATLAB and ANSYS for ultrasonic wire bonding process optimization
type: journal_article
user_id: '210'
volume: 119
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: '29293'
article_number: '100065'
author:
- first_name: Sven
full_name: Martin, Sven
id: '38177'
last_name: Martin
- first_name: Jan
full_name: Schütte, Jan
id: '22109'
last_name: Schütte
orcid: 0000-0001-9025-9742
- first_name: C.
full_name: Bäumler, C.
last_name: Bäumler
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
- first_name: Thomas
full_name: Tröster, Thomas
id: '553'
last_name: Tröster
citation:
ama: Martin S, Schütte J, Bäumler C, Sextro W, Tröster T. Identification of joints
for a load-adapted shape in a body in white using steady state vehicle simulations.
Forces in Mechanics. 2021;6. doi:10.1016/j.finmec.2021.100065
apa: Martin, S., Schütte, J., Bäumler, C., Sextro, W., & Tröster, T. (2021).
Identification of joints for a load-adapted shape in a body in white using steady
state vehicle simulations. Forces in Mechanics, 6, Article 100065.
https://doi.org/10.1016/j.finmec.2021.100065
bibtex: '@article{Martin_Schütte_Bäumler_Sextro_Tröster_2021, title={Identification
of joints for a load-adapted shape in a body in white using steady state vehicle
simulations}, volume={6}, DOI={10.1016/j.finmec.2021.100065},
number={100065}, journal={Forces in Mechanics}, publisher={Elsevier BV}, author={Martin,
Sven and Schütte, Jan and Bäumler, C. and Sextro, Walter and Tröster, Thomas},
year={2021} }'
chicago: Martin, Sven, Jan Schütte, C. Bäumler, Walter Sextro, and Thomas Tröster.
“Identification of Joints for a Load-Adapted Shape in a Body in White Using Steady
State Vehicle Simulations.” Forces in Mechanics 6 (2021). https://doi.org/10.1016/j.finmec.2021.100065.
ieee: 'S. Martin, J. Schütte, C. Bäumler, W. Sextro, and T. Tröster, “Identification
of joints for a load-adapted shape in a body in white using steady state vehicle
simulations,” Forces in Mechanics, vol. 6, Art. no. 100065, 2021, doi:
10.1016/j.finmec.2021.100065.'
mla: Martin, Sven, et al. “Identification of Joints for a Load-Adapted Shape in
a Body in White Using Steady State Vehicle Simulations.” Forces in Mechanics,
vol. 6, 100065, Elsevier BV, 2021, doi:10.1016/j.finmec.2021.100065.
short: S. Martin, J. Schütte, C. Bäumler, W. Sextro, T. Tröster, Forces in Mechanics
6 (2021).
date_created: 2022-01-12T10:30:02Z
date_updated: 2025-06-06T08:05:56Z
department:
- _id: '151'
- _id: '630'
- _id: '149'
- _id: '321'
- _id: '9'
doi: 10.1016/j.finmec.2021.100065
intvolume: ' 6'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.sciencedirect.com/science/article/pii/S2666359721000561
oa: '1'
project:
- _id: '130'
grant_number: '418701707'
name: 'TRR 285: TRR 285'
- _id: '132'
name: 'TRR 285 - B: TRR 285 - Project Area B'
- _id: '140'
name: 'TRR 285 – B01: TRR 285 - Subproject B01'
publication: Forces in Mechanics
publication_identifier:
issn:
- 2666-3597
publication_status: published
publisher: Elsevier BV
quality_controlled: '1'
status: public
title: Identification of joints for a load-adapted shape in a body in white using
steady state vehicle simulations
type: journal_article
user_id: '15952'
volume: 6
year: '2021'
...
---
_id: '22007'
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. Model-Based Investigation of the Influence of Wheel Suspension
Characteristics on Tire Wear. In: Lecture Notes in Mechanical Engineering.
; 2020. doi:10.1007/978-3-030-38077-9_201'
apa: Schütte, J., & Sextro, W. (2020). Model-Based Investigation of the Influence
of Wheel Suspension Characteristics on Tire Wear. Lecture Notes in Mechanical
Engineering. https://doi.org/10.1007/978-3-030-38077-9_201
bibtex: '@inproceedings{Schütte_Sextro_2020, place={Cham}, title={Model-Based Investigation
of the Influence of Wheel Suspension Characteristics on Tire Wear}, DOI={10.1007/978-3-030-38077-9_201},
booktitle={Lecture Notes in Mechanical Engineering}, author={Schütte, Jan and
Sextro, Walter}, year={2020} }'
chicago: Schütte, Jan, and Walter Sextro. “Model-Based Investigation of the Influence
of Wheel Suspension Characteristics on Tire Wear.” In Lecture Notes in Mechanical
Engineering. Cham, 2020. https://doi.org/10.1007/978-3-030-38077-9_201.
ieee: 'J. Schütte and W. Sextro, “Model-Based Investigation of the Influence of
Wheel Suspension Characteristics on Tire Wear,” 2020, doi: 10.1007/978-3-030-38077-9_201.'
mla: Schütte, Jan, and Walter Sextro. “Model-Based Investigation of the Influence
of Wheel Suspension Characteristics on Tire Wear.” Lecture Notes in Mechanical
Engineering, 2020, doi:10.1007/978-3-030-38077-9_201.
short: 'J. Schütte, W. Sextro, in: Lecture Notes in Mechanical Engineering, Cham,
2020.'
date_created: 2021-05-06T09:09:37Z
date_updated: 2024-05-27T07:48:56Z
department:
- _id: '151'
doi: 10.1007/978-3-030-38077-9_201
language:
- iso: eng
place: Cham
publication: Lecture Notes in Mechanical Engineering
publication_identifier:
isbn:
- '9783030380762'
- '9783030380779'
issn:
- 2195-4356
- 2195-4364
publication_status: published
quality_controlled: '1'
status: public
title: Model-Based Investigation of the Influence of Wheel Suspension Characteristics
on Tire Wear
type: conference
user_id: '22109'
year: '2020'
...