---
_id: '57185'
author:
- first_name: Fabian
full_name: Reiling, Fabian
last_name: Reiling
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Matthias
full_name: Hunstig, Matthias
last_name: Hunstig
- first_name: Stefan
full_name: Gröger, Stefan
last_name: Gröger
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Reiling F, Henke C, Hunstig M, Gröger S, Trächtler A. Batch constrained multi-objective
Bayesian optimization using the example of ultrasonic wire bonding. In: 2024
IEEE International Conference on Advanced Intelligent Mechatronics (AIM).
IEEE; 2024. doi:10.1109/aim55361.2024.10637123'
apa: Reiling, F., Henke, C., Hunstig, M., Gröger, S., & Trächtler, A. (2024).
Batch constrained multi-objective Bayesian optimization using the example of ultrasonic
wire bonding. 2024 IEEE International Conference on Advanced Intelligent Mechatronics
(AIM). https://doi.org/10.1109/aim55361.2024.10637123
bibtex: '@inproceedings{Reiling_Henke_Hunstig_Gröger_Trächtler_2024, title={Batch
constrained multi-objective Bayesian optimization using the example of ultrasonic
wire bonding}, DOI={10.1109/aim55361.2024.10637123},
booktitle={2024 IEEE International Conference on Advanced Intelligent Mechatronics
(AIM)}, publisher={IEEE}, author={Reiling, Fabian and Henke, Christian and Hunstig,
Matthias and Gröger, Stefan and Trächtler, Ansgar}, year={2024} }'
chicago: Reiling, Fabian, Christian Henke, Matthias Hunstig, Stefan Gröger, and
Ansgar Trächtler. “Batch Constrained Multi-Objective Bayesian Optimization Using
the Example of Ultrasonic Wire Bonding.” In 2024 IEEE International Conference
on Advanced Intelligent Mechatronics (AIM). IEEE, 2024. https://doi.org/10.1109/aim55361.2024.10637123.
ieee: 'F. Reiling, C. Henke, M. Hunstig, S. Gröger, and A. Trächtler, “Batch constrained
multi-objective Bayesian optimization using the example of ultrasonic wire bonding,”
2024, doi: 10.1109/aim55361.2024.10637123.'
mla: Reiling, Fabian, et al. “Batch Constrained Multi-Objective Bayesian Optimization
Using the Example of Ultrasonic Wire Bonding.” 2024 IEEE International Conference
on Advanced Intelligent Mechatronics (AIM), IEEE, 2024, doi:10.1109/aim55361.2024.10637123.
short: 'F. Reiling, C. Henke, M. Hunstig, S. Gröger, A. Trächtler, in: 2024 IEEE
International Conference on Advanced Intelligent Mechatronics (AIM), IEEE, 2024.'
date_created: 2024-11-18T10:18:18Z
date_updated: 2024-11-18T10:40:23Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/aim55361.2024.10637123
language:
- iso: eng
publication: 2024 IEEE International Conference on Advanced Intelligent Mechatronics
(AIM)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Batch constrained multi-objective Bayesian optimization using the example of
ultrasonic wire bonding
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '57188'
author:
- first_name: Stephan
full_name: Stieren, Stephan
last_name: Stieren
- first_name: Achim
full_name: Werner, Achim
last_name: Werner
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Stieren S, Werner A, Henke C, Trächtler A. A comprehensive test infrastructure
for the evaluation of energy management systems of the household and grid level.
In: 2024 IEEE Conference on Technologies for Sustainability (SusTech).
IEEE; 2024. doi:10.1109/sustech60925.2024.10553455'
apa: Stieren, S., Werner, A., Henke, C., & Trächtler, A. (2024). A comprehensive
test infrastructure for the evaluation of energy management systems of the household
and grid level. 2024 IEEE Conference on Technologies for Sustainability (SusTech).
https://doi.org/10.1109/sustech60925.2024.10553455
bibtex: '@inproceedings{Stieren_Werner_Henke_Trächtler_2024, title={A comprehensive
test infrastructure for the evaluation of energy management systems of the household
and grid level}, DOI={10.1109/sustech60925.2024.10553455},
booktitle={2024 IEEE Conference on Technologies for Sustainability (SusTech)},
publisher={IEEE}, author={Stieren, Stephan and Werner, Achim and Henke, Christian
and Trächtler, Ansgar}, year={2024} }'
chicago: Stieren, Stephan, Achim Werner, Christian Henke, and Ansgar Trächtler.
“A Comprehensive Test Infrastructure for the Evaluation of Energy Management Systems
of the Household and Grid Level.” In 2024 IEEE Conference on Technologies for
Sustainability (SusTech). IEEE, 2024. https://doi.org/10.1109/sustech60925.2024.10553455.
ieee: 'S. Stieren, A. Werner, C. Henke, and A. Trächtler, “A comprehensive test
infrastructure for the evaluation of energy management systems of the household
and grid level,” 2024, doi: 10.1109/sustech60925.2024.10553455.'
mla: Stieren, Stephan, et al. “A Comprehensive Test Infrastructure for the Evaluation
of Energy Management Systems of the Household and Grid Level.” 2024 IEEE Conference
on Technologies for Sustainability (SusTech), IEEE, 2024, doi:10.1109/sustech60925.2024.10553455.
short: 'S. Stieren, A. Werner, C. Henke, A. Trächtler, in: 2024 IEEE Conference
on Technologies for Sustainability (SusTech), IEEE, 2024.'
date_created: 2024-11-18T10:21:54Z
date_updated: 2024-11-18T10:39:28Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/sustech60925.2024.10553455
language:
- iso: eng
publication: 2024 IEEE Conference on Technologies for Sustainability (SusTech)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: A comprehensive test infrastructure for the evaluation of energy management
systems of the household and grid level
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '57187'
author:
- first_name: Stephan
full_name: Stieren, Stephan
last_name: Stieren
- first_name: Luca
full_name: Lenger, Luca
last_name: Lenger
- first_name: Moritz
full_name: Kliem, Moritz
last_name: Kliem
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Stieren S, Lenger L, Kliem M, Henke C, Trächtler A. Development of digital
business models for holistic energy management on device, home and grid level.
In: 2024 IEEE International Systems Conference (SysCon). IEEE; 2024. doi:10.1109/syscon61195.2024.10553440'
apa: Stieren, S., Lenger, L., Kliem, M., Henke, C., & Trächtler, A. (2024).
Development of digital business models for holistic energy management on device,
home and grid level. 2024 IEEE International Systems Conference (SysCon).
https://doi.org/10.1109/syscon61195.2024.10553440
bibtex: '@inproceedings{Stieren_Lenger_Kliem_Henke_Trächtler_2024, title={Development
of digital business models for holistic energy management on device, home and
grid level}, DOI={10.1109/syscon61195.2024.10553440},
booktitle={2024 IEEE International Systems Conference (SysCon)}, publisher={IEEE},
author={Stieren, Stephan and Lenger, Luca and Kliem, Moritz and Henke, Christian
and Trächtler, Ansgar}, year={2024} }'
chicago: Stieren, Stephan, Luca Lenger, Moritz Kliem, Christian Henke, and Ansgar
Trächtler. “Development of Digital Business Models for Holistic Energy Management
on Device, Home and Grid Level.” In 2024 IEEE International Systems Conference
(SysCon). IEEE, 2024. https://doi.org/10.1109/syscon61195.2024.10553440.
ieee: 'S. Stieren, L. Lenger, M. Kliem, C. Henke, and A. Trächtler, “Development
of digital business models for holistic energy management on device, home and
grid level,” 2024, doi: 10.1109/syscon61195.2024.10553440.'
mla: Stieren, Stephan, et al. “Development of Digital Business Models for Holistic
Energy Management on Device, Home and Grid Level.” 2024 IEEE International
Systems Conference (SysCon), IEEE, 2024, doi:10.1109/syscon61195.2024.10553440.
short: 'S. Stieren, L. Lenger, M. Kliem, C. Henke, A. Trächtler, in: 2024 IEEE International
Systems Conference (SysCon), IEEE, 2024.'
date_created: 2024-11-18T10:21:17Z
date_updated: 2024-11-18T10:39:56Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/syscon61195.2024.10553440
language:
- iso: eng
publication: 2024 IEEE International Systems Conference (SysCon)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Development of digital business models for holistic energy management on device,
home and grid level
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '57186'
author:
- first_name: Robin
full_name: Schmidt, Robin
last_name: Schmidt
- first_name: Stefan
full_name: Schütz, Stefan
last_name: Schütz
- first_name: Sebastian
full_name: Prinz, Sebastian
last_name: Prinz
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Schmidt R, Schütz S, Prinz S, Henke C, Trächtler A. Optimizing Welding Efficiency:
A First Approach for an Automated Mobile Welding Robot. In: Proceedings of
the 4th IFSA Winter Conference on Automation, Robotics and Communications for
Industry 4.0/5.0 (ARCI 2024). ; 2024.'
apa: 'Schmidt, R., Schütz, S., Prinz, S., Henke, C., & Trächtler, A. (2024).
Optimizing Welding Efficiency: A First Approach for an Automated Mobile Welding
Robot. Proceedings of the 4th IFSA Winter Conference on Automation, Robotics
and Communications for Industry 4.0/5.0 (ARCI 2024).'
bibtex: '@inproceedings{Schmidt_Schütz_Prinz_Henke_Trächtler_2024, title={Optimizing
Welding Efficiency: A First Approach for an Automated Mobile Welding Robot}, booktitle={Proceedings
of the 4th IFSA Winter Conference on Automation, Robotics and Communications for
Industry 4.0/5.0 (ARCI 2024)}, author={Schmidt, Robin and Schütz, Stefan and Prinz,
Sebastian and Henke, Christian and Trächtler, Ansgar}, year={2024} }'
chicago: 'Schmidt, Robin, Stefan Schütz, Sebastian Prinz, Christian Henke, and Ansgar
Trächtler. “Optimizing Welding Efficiency: A First Approach for an Automated Mobile
Welding Robot.” In Proceedings of the 4th IFSA Winter Conference on Automation,
Robotics and Communications for Industry 4.0/5.0 (ARCI 2024), 2024.'
ieee: 'R. Schmidt, S. Schütz, S. Prinz, C. Henke, and A. Trächtler, “Optimizing
Welding Efficiency: A First Approach for an Automated Mobile Welding Robot,” 2024.'
mla: 'Schmidt, Robin, et al. “Optimizing Welding Efficiency: A First Approach for
an Automated Mobile Welding Robot.” Proceedings of the 4th IFSA Winter Conference
on Automation, Robotics and Communications for Industry 4.0/5.0 (ARCI 2024),
2024.'
short: 'R. Schmidt, S. Schütz, S. Prinz, C. Henke, A. Trächtler, in: Proceedings
of the 4th IFSA Winter Conference on Automation, Robotics and Communications for
Industry 4.0/5.0 (ARCI 2024), 2024.'
date_created: 2024-11-18T10:20:58Z
date_updated: 2024-11-18T10:40:13Z
department:
- _id: '153'
- _id: '241'
language:
- iso: eng
publication: Proceedings of the 4th IFSA Winter Conference on Automation, Robotics
and Communications for Industry 4.0/5.0 (ARCI 2024)
quality_controlled: '1'
status: public
title: 'Optimizing Welding Efficiency: A First Approach for an Automated Mobile Welding
Robot'
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '57176'
abstract:
- lang: eng
text: Incremental nonlinear dynamic inversion (INDI) is a widely used approach to
controlling UAVs with highly nonlinear dynamics. One key element of INDI-based
controllers is the control allocation realizing pseudo controls using available
actuators. However, the tracking of commanded pseudo controls is not the only
objective considered during control allocation. Since the approach only works
locally due to linearization and the solution is often ambiguous, additional aspects
like control efforts or penalizing the deviation of certain states must be considered.
Conducting the control allocation by solving a quadratic program this results
in a considerable number of weighting parameters, which must be tuned during control
design. Currently, this is conducted manually and is therefore time consuming.
An automated approach for tuning these parameters is therefore highly beneficial.
Thus, this paper presents and evaluates a model-based approach automatically tuning
the control allocation parameters of a tiltrotor VTOL using an optimization algorithm.
This optimization algorithm searches for optimal parameters minimizing a cost
functional that reflects the design target. This cost functional is calculated
based on a test mission for the VTOL which is conducted within a simulation environment.
The test mission represents the common operating range of the VTOL. The simulation
environment consists of an aircraft model as well as a model of the INDI-based
controller which is dependent on the control allocation parameters. On this basis,
model-based optimization is conducted and the optimal parameters are identified.
Finally, successful real-world tests on a 4-degrees-of-freedom testbench using
the identified parameters are presented. Since the control allocation parameters
can significantly influence the aircraft’s stability, the 4-DOF testbench for
the aircraft is required for rapid validation of the parameters at a minimum amount
of risk.
article_number: '187'
author:
- first_name: Mark
full_name: Henkenjohann, Mark
last_name: Henkenjohann
- first_name: Udo
full_name: Nolte, Udo
last_name: Nolte
- first_name: Fabian
full_name: Sion, Fabian
last_name: Sion
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: Henkenjohann M, Nolte U, Sion F, Henke C, Trächtler A. Parameter Tuning Approach
for Incremental Nonlinear Dynamic Inversion-Based Flight Controllers. Actuators.
2024;13(5). doi:10.3390/act13050187
apa: Henkenjohann, M., Nolte, U., Sion, F., Henke, C., & Trächtler, A. (2024).
Parameter Tuning Approach for Incremental Nonlinear Dynamic Inversion-Based Flight
Controllers. Actuators, 13(5), Article 187. https://doi.org/10.3390/act13050187
bibtex: '@article{Henkenjohann_Nolte_Sion_Henke_Trächtler_2024, title={Parameter
Tuning Approach for Incremental Nonlinear Dynamic Inversion-Based Flight Controllers},
volume={13}, DOI={10.3390/act13050187},
number={5187}, journal={Actuators}, publisher={MDPI AG}, author={Henkenjohann,
Mark and Nolte, Udo and Sion, Fabian and Henke, Christian and Trächtler, Ansgar},
year={2024} }'
chicago: Henkenjohann, Mark, Udo Nolte, Fabian Sion, Christian Henke, and Ansgar
Trächtler. “Parameter Tuning Approach for Incremental Nonlinear Dynamic Inversion-Based
Flight Controllers.” Actuators 13, no. 5 (2024). https://doi.org/10.3390/act13050187.
ieee: 'M. Henkenjohann, U. Nolte, F. Sion, C. Henke, and A. Trächtler, “Parameter
Tuning Approach for Incremental Nonlinear Dynamic Inversion-Based Flight Controllers,”
Actuators, vol. 13, no. 5, Art. no. 187, 2024, doi: 10.3390/act13050187.'
mla: Henkenjohann, Mark, et al. “Parameter Tuning Approach for Incremental Nonlinear
Dynamic Inversion-Based Flight Controllers.” Actuators, vol. 13, no. 5,
187, MDPI AG, 2024, doi:10.3390/act13050187.
short: M. Henkenjohann, U. Nolte, F. Sion, C. Henke, A. Trächtler, Actuators 13
(2024).
date_created: 2024-11-18T10:09:58Z
date_updated: 2024-11-18T10:42:19Z
department:
- _id: '153'
- _id: '241'
doi: 10.3390/act13050187
intvolume: ' 13'
issue: '5'
language:
- iso: eng
publication: Actuators
publication_identifier:
issn:
- 2076-0825
publication_status: published
publisher: MDPI AG
quality_controlled: '1'
status: public
title: Parameter Tuning Approach for Incremental Nonlinear Dynamic Inversion-Based
Flight Controllers
type: journal_article
user_id: '41470'
volume: 13
year: '2024'
...
---
_id: '57173'
abstract:
- lang: eng
text: Manufacturing processes benefit from property control enabling reproducibility,
application oriented outcomes, and efficient part production. In reverse flow
forming, state of the art practices focus primarily on geometry control, neglecting
property control. Given the intricacies of the process involving the interaction
of tool and machine behavior, process parameters, properties of semi finished
products and temperatures, incorporating process control becomes an imperative
for producing components with predefined properties. The property controlled within
this reverse flow forming process is the local α’ martensite content. Therefore,
process strategies to actively influence the α’ martensite content must be implemented.
In this study seamless AISI 304L steel tubes are used, where α’ martensite formation
is strain and/or temperature induced through phase transformation within the
process. This paper presents innovative process strategies, methods, and specially
developed mechanical and thermal actuator systems to locally increase or suppress
the α’ martensite content. The use and implementation of these approaches and
tools allows the creation of unique optically invisible microstructure profiles
containing 3D gradings, implying a radial grading of α’ martensite. The locally
implemented α’ martensite, forming these 3D gradings, offers potential applications
for functional or sensory purposes. This paper extends beyond theoretical concepts,
providing tangible component outcomes.
author:
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Julian
full_name: Rozo Vasquez, Julian
last_name: Rozo Vasquez
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
citation:
ama: 'Arian B, Homberg W, Kersting L, Trächtler A, Rozo Vasquez J, Walther F. α’-martensite
grading techniques in reverse flow forming of AISI 304L. In: Materials Research
Proceedings. Vol 44. Materials Research Forum LLC; 2024. doi:10.21741/9781644903254-76'
apa: Arian, B., Homberg, W., Kersting, L., Trächtler, A., Rozo Vasquez, J., &
Walther, F. (2024). α’-martensite grading techniques in reverse flow forming of
AISI 304L. Materials Research Proceedings, 44. https://doi.org/10.21741/9781644903254-76
bibtex: '@inproceedings{Arian_Homberg_Kersting_Trächtler_Rozo Vasquez_Walther_2024,
title={α’-martensite grading techniques in reverse flow forming of AISI 304L},
volume={44}, DOI={10.21741/9781644903254-76},
booktitle={Materials Research Proceedings}, publisher={Materials Research Forum
LLC}, author={Arian, Bahman and Homberg, Werner and Kersting, Lukas and Trächtler,
Ansgar and Rozo Vasquez, Julian and Walther, Frank}, year={2024} }'
chicago: Arian, Bahman, Werner Homberg, Lukas Kersting, Ansgar Trächtler, Julian
Rozo Vasquez, and Frank Walther. “α’-Martensite Grading Techniques in Reverse
Flow Forming of AISI 304L.” In Materials Research Proceedings, Vol. 44.
Materials Research Forum LLC, 2024. https://doi.org/10.21741/9781644903254-76.
ieee: 'B. Arian, W. Homberg, L. Kersting, A. Trächtler, J. Rozo Vasquez, and F.
Walther, “α’-martensite grading techniques in reverse flow forming of AISI 304L,”
in Materials Research Proceedings, 2024, vol. 44, doi: 10.21741/9781644903254-76.'
mla: Arian, Bahman, et al. “α’-Martensite Grading Techniques in Reverse Flow Forming
of AISI 304L.” Materials Research Proceedings, vol. 44, Materials Research
Forum LLC, 2024, doi:10.21741/9781644903254-76.
short: 'B. Arian, W. Homberg, L. Kersting, A. Trächtler, J. Rozo Vasquez, F. Walther,
in: Materials Research Proceedings, Materials Research Forum LLC, 2024.'
date_created: 2024-11-18T10:06:17Z
date_updated: 2024-11-18T10:42:55Z
department:
- _id: '241'
- _id: '153'
- _id: '156'
doi: 10.21741/9781644903254-76
intvolume: ' 44'
language:
- iso: eng
publication: Materials Research Proceedings
publication_identifier:
issn:
- 2474-395X
publication_status: published
publisher: Materials Research Forum LLC
quality_controlled: '1'
status: public
title: α’-martensite grading techniques in reverse flow forming of AISI 304L
type: conference
user_id: '41470'
volume: 44
year: '2024'
...
---
_id: '57174'
abstract:
- lang: eng
text: Increasing the sustainability and resource efficiency of forming processes
is one of today's major goals. High-strength wire materials are usually available
as strip material and are subjected to a downstream forming process such as punch-bending
to produce parts for the electronics industry, for example. During the manufacturing
process of the semi-finished product, residual stresses and plastic deformations
are introduced into the wire by rolling and drawing processes. Straightening machines
are used in the production lines to compensate for these. To increase the sustainability
of these production lines, the straightening process is an essential step. Before
the continuous manufacturing process starts, the straightening process must be
set up and the optimal roller positions must be found. Once the process is set
up, the roller position settings are usually not changed. Due to missing measurement
systems for the straightening quality, it is not possible to dynamically adjust
the positions of the straightening rollers to variations in the material properties.
This leads to deviations in the dimensional accuracy of the components to be produced
and thus to an increase in the rejection rate in the manufacturing processes.
To reduce the rejection rate, a novel control system for a continuous feedback
control of a straightening process is presented in this paper. This leads to a
reduction of the rejection rate and unnecessary preforming operations in wire
straightening process. The result is an increasing sustainability and efficiency
of these production process.
author:
- first_name: Lukas
full_name: Bathelt, Lukas
last_name: Bathelt
- first_name: Eugen
full_name: Djakow, Eugen
id: '7904'
last_name: Djakow
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Bathelt L, Djakow E, Henke C, Trächtler A. Innovative control system for straightening
machines using sensor information from downstream processes. In: Materials
Research Proceedings. Vol 41. Materials Research Forum LLC; 2024. doi:10.21741/9781644903131-308'
apa: Bathelt, L., Djakow, E., Henke, C., & Trächtler, A. (2024). Innovative
control system for straightening machines using sensor information from downstream
processes. Materials Research Proceedings, 41. https://doi.org/10.21741/9781644903131-308
bibtex: '@inproceedings{Bathelt_Djakow_Henke_Trächtler_2024, title={Innovative control
system for straightening machines using sensor information from downstream processes},
volume={41}, DOI={10.21741/9781644903131-308},
booktitle={Materials Research Proceedings}, publisher={Materials Research Forum
LLC}, author={Bathelt, Lukas and Djakow, Eugen and Henke, Christian and Trächtler,
Ansgar}, year={2024} }'
chicago: Bathelt, Lukas, Eugen Djakow, Christian Henke, and Ansgar Trächtler. “Innovative
Control System for Straightening Machines Using Sensor Information from Downstream
Processes.” In Materials Research Proceedings, Vol. 41. Materials Research
Forum LLC, 2024. https://doi.org/10.21741/9781644903131-308.
ieee: 'L. Bathelt, E. Djakow, C. Henke, and A. Trächtler, “Innovative control system
for straightening machines using sensor information from downstream processes,”
in Materials Research Proceedings, 2024, vol. 41, doi: 10.21741/9781644903131-308.'
mla: Bathelt, Lukas, et al. “Innovative Control System for Straightening Machines
Using Sensor Information from Downstream Processes.” Materials Research Proceedings,
vol. 41, Materials Research Forum LLC, 2024, doi:10.21741/9781644903131-308.
short: 'L. Bathelt, E. Djakow, C. Henke, A. Trächtler, in: Materials Research Proceedings,
Materials Research Forum LLC, 2024.'
date_created: 2024-11-18T10:08:22Z
date_updated: 2024-11-18T10:42:37Z
department:
- _id: '241'
- _id: '153'
doi: 10.21741/9781644903131-308
intvolume: ' 41'
language:
- iso: eng
publication: Materials Research Proceedings
publication_identifier:
issn:
- 2474-395X
publication_status: published
publisher: Materials Research Forum LLC
quality_controlled: '1'
status: public
title: Innovative control system for straightening machines using sensor information
from downstream processes
type: conference
user_id: '41470'
volume: 41
year: '2024'
...
---
_id: '57178'
abstract:
- lang: eng
text: The incremental flow forming process is currently enhanced in research context
by special closed-loop property control concepts to increase the productivity
and to control the product properties making invisible property structures like
a magnetic barcode possible. However, it is preferred to establish property control
concepts on single roller machines instead of conventional machines with three
roller actuation due to the better machine accessibility. For those single roller
machines, rather poor surface qualities of flow formed workpieces were observed
in the past especially for hydraulic actuators. Thus, a new actuator closed-loop
position control concept is developed in this paper using model-based control
design methods and taking the flow forming forces as a load into account. The
novel closed-loop control is validated during workpiece production at the actual
single roller flow forming machine. An analysis of the manufactured workpieces
show that the surface quality is significantly enhanced by the new control to
a roughness level almost similar to conventional three roller flow forming. Thus,
a sincere added value to the flow forming process is offered by the novel actuator
closed-loop position control.
author:
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Sebastian
full_name: Sander, Sebastian
last_name: Sander
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Julian
full_name: Rozo Vasquez, Julian
last_name: Rozo Vasquez
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
citation:
ama: 'Kersting L, Sander S, Arian B, et al. Improving the flow forming process by
a novel closed-loop control. In: Materials Research Proceedings. Vol 41.
Materials Research Forum LLC; 2024. doi:10.21741/9781644903131-158'
apa: Kersting, L., Sander, S., Arian, B., Rozo Vasquez, J., Trächtler, A., Homberg,
W., & Walther, F. (2024). Improving the flow forming process by a novel closed-loop
control. Materials Research Proceedings, 41. https://doi.org/10.21741/9781644903131-158
bibtex: '@inproceedings{Kersting_Sander_Arian_Rozo Vasquez_Trächtler_Homberg_Walther_2024,
title={Improving the flow forming process by a novel closed-loop control}, volume={41},
DOI={10.21741/9781644903131-158},
booktitle={Materials Research Proceedings}, publisher={Materials Research Forum
LLC}, author={Kersting, Lukas and Sander, Sebastian and Arian, Bahman and Rozo
Vasquez, Julian and Trächtler, Ansgar and Homberg, Werner and Walther, Frank},
year={2024} }'
chicago: Kersting, Lukas, Sebastian Sander, Bahman Arian, Julian Rozo Vasquez, Ansgar
Trächtler, Werner Homberg, and Frank Walther. “Improving the Flow Forming Process
by a Novel Closed-Loop Control.” In Materials Research Proceedings, Vol.
41. Materials Research Forum LLC, 2024. https://doi.org/10.21741/9781644903131-158.
ieee: 'L. Kersting et al., “Improving the flow forming process by a novel
closed-loop control,” in Materials Research Proceedings, 2024, vol. 41,
doi: 10.21741/9781644903131-158.'
mla: Kersting, Lukas, et al. “Improving the Flow Forming Process by a Novel Closed-Loop
Control.” Materials Research Proceedings, vol. 41, Materials Research Forum
LLC, 2024, doi:10.21741/9781644903131-158.
short: 'L. Kersting, S. Sander, B. Arian, J. Rozo Vasquez, A. Trächtler, W. Homberg,
F. Walther, in: Materials Research Proceedings, Materials Research Forum LLC,
2024.'
date_created: 2024-11-18T10:11:24Z
date_updated: 2024-11-18T10:41:46Z
department:
- _id: '153'
- _id: '241'
- _id: '156'
doi: 10.21741/9781644903131-158
intvolume: ' 41'
language:
- iso: eng
publication: Materials Research Proceedings
publication_identifier:
issn:
- 2474-395X
publication_status: published
publisher: Materials Research Forum LLC
quality_controlled: '1'
status: public
title: Improving the flow forming process by a novel closed-loop control
type: conference
user_id: '41470'
volume: 41
year: '2024'
...
---
_id: '57183'
abstract:
- lang: eng
text: In multi-stage bending and straightening operations cross-stage and quantity-dependent
effects crucially affect the quality of the end product. Using punch-bending units
in combination with a mechatronic straightening device can improve the accuracy
and repeatability of product features remarkably well. In this work a concept
for an innovative hybrid model of a roll straightener in a multi-stage straightening
and multi-stage bending process is proposed. This model combines data-driven elements
with expert knowledge and aims to minimise residual errors of the roll straightener
to reliably decrease the risk of disadvantageous cross-stage and quantity-dependent
effects on a subsequent punch-bending process.
author:
- first_name: Henning
full_name: Peters, Henning
last_name: Peters
- first_name: Eugen
full_name: Djakow, Eugen
id: '7904'
last_name: Djakow
- first_name: Tim
full_name: Rostek, Tim
id: '3469'
last_name: Rostek
- first_name: Andreas
full_name: Mazur, Andreas
last_name: Mazur
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Barbara
full_name: Hammer, Barbara
last_name: Hammer
citation:
ama: 'Peters H, Djakow E, Rostek T, et al. Novel approach for data-driven modelling
of multi-stage straightening and bending processes. In: Materials Research
Proceedings. Vol 41. Materials Research Forum LLC; 2024. doi:10.21741/9781644903131-252'
apa: Peters, H., Djakow, E., Rostek, T., Mazur, A., Trächtler, A., Homberg, W.,
& Hammer, B. (2024). Novel approach for data-driven modelling of multi-stage
straightening and bending processes. Materials Research Proceedings, 41.
https://doi.org/10.21741/9781644903131-252
bibtex: '@inproceedings{Peters_Djakow_Rostek_Mazur_Trächtler_Homberg_Hammer_2024,
title={Novel approach for data-driven modelling of multi-stage straightening and
bending processes}, volume={41}, DOI={10.21741/9781644903131-252},
booktitle={Materials Research Proceedings}, publisher={Materials Research Forum
LLC}, author={Peters, Henning and Djakow, Eugen and Rostek, Tim and Mazur, Andreas
and Trächtler, Ansgar and Homberg, Werner and Hammer, Barbara}, year={2024} }'
chicago: Peters, Henning, Eugen Djakow, Tim Rostek, Andreas Mazur, Ansgar Trächtler,
Werner Homberg, and Barbara Hammer. “Novel Approach for Data-Driven Modelling
of Multi-Stage Straightening and Bending Processes.” In Materials Research
Proceedings, Vol. 41. Materials Research Forum LLC, 2024. https://doi.org/10.21741/9781644903131-252.
ieee: 'H. Peters et al., “Novel approach for data-driven modelling of multi-stage
straightening and bending processes,” in Materials Research Proceedings,
2024, vol. 41, doi: 10.21741/9781644903131-252.'
mla: Peters, Henning, et al. “Novel Approach for Data-Driven Modelling of Multi-Stage
Straightening and Bending Processes.” Materials Research Proceedings, vol.
41, Materials Research Forum LLC, 2024, doi:10.21741/9781644903131-252.
short: 'H. Peters, E. Djakow, T. Rostek, A. Mazur, A. Trächtler, W. Homberg, B.
Hammer, in: Materials Research Proceedings, Materials Research Forum LLC, 2024.'
date_created: 2024-11-18T10:15:37Z
date_updated: 2024-11-18T10:40:50Z
department:
- _id: '153'
- _id: '241'
- _id: '156'
doi: 10.21741/9781644903131-252
intvolume: ' 41'
language:
- iso: eng
publication: Materials Research Proceedings
publication_identifier:
issn:
- 2474-395X
publication_status: published
publisher: Materials Research Forum LLC
quality_controlled: '1'
status: public
title: Novel approach for data-driven modelling of multi-stage straightening and bending
processes
type: conference
user_id: '41470'
volume: 41
year: '2024'
...
---
_id: '57171'
abstract:
- lang: eng
text: In manufacturing, property control ensures efficient part production. However,
in reverse flow forming, current practices focus on geometry control rather than
property control. To address the complexity of the process and tool machine interaction,
process control is crucial for defined component properties. This study focuses
on controlling local α’ martensite content in reverse flow forming of seamless
AISI 304L steel tubes. Strategies and systems are presented to influence α’ martensite
content, creating unique microstructure profiles for 1D and 2D Gradings, with
tangible component outcomes.
author:
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Julian
full_name: Rozo Vasquez, Julian
last_name: Rozo Vasquez
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
citation:
ama: 'Arian B, Homberg W, Kersting L, Trächtler A, Rozo Vasquez J, Walther F. Thermomechanical
reverse flow forming of AISI 304L. In: Materials Research Proceedings.
Vol 41. Materials Research Forum LLC; 2024. doi:10.21741/9781644903131-151'
apa: Arian, B., Homberg, W., Kersting, L., Trächtler, A., Rozo Vasquez, J., &
Walther, F. (2024). Thermomechanical reverse flow forming of AISI 304L. Materials
Research Proceedings, 41. https://doi.org/10.21741/9781644903131-151
bibtex: '@inproceedings{Arian_Homberg_Kersting_Trächtler_Rozo Vasquez_Walther_2024,
title={Thermomechanical reverse flow forming of AISI 304L}, volume={41}, DOI={10.21741/9781644903131-151},
booktitle={Materials Research Proceedings}, publisher={Materials Research Forum
LLC}, author={Arian, Bahman and Homberg, Werner and Kersting, Lukas and Trächtler,
Ansgar and Rozo Vasquez, Julian and Walther, Frank}, year={2024} }'
chicago: Arian, Bahman, Werner Homberg, Lukas Kersting, Ansgar Trächtler, Julian
Rozo Vasquez, and Frank Walther. “Thermomechanical Reverse Flow Forming of AISI
304L.” In Materials Research Proceedings, Vol. 41. Materials Research Forum
LLC, 2024. https://doi.org/10.21741/9781644903131-151.
ieee: 'B. Arian, W. Homberg, L. Kersting, A. Trächtler, J. Rozo Vasquez, and F.
Walther, “Thermomechanical reverse flow forming of AISI 304L,” in Materials
Research Proceedings, 2024, vol. 41, doi: 10.21741/9781644903131-151.'
mla: Arian, Bahman, et al. “Thermomechanical Reverse Flow Forming of AISI 304L.”
Materials Research Proceedings, vol. 41, Materials Research Forum LLC,
2024, doi:10.21741/9781644903131-151.
short: 'B. Arian, W. Homberg, L. Kersting, A. Trächtler, J. Rozo Vasquez, F. Walther,
in: Materials Research Proceedings, Materials Research Forum LLC, 2024.'
date_created: 2024-11-18T10:02:38Z
date_updated: 2024-11-18T10:42:49Z
department:
- _id: '241'
- _id: '153'
- _id: '156'
doi: 10.21741/9781644903131-151
intvolume: ' 41'
language:
- iso: eng
publication: Materials Research Proceedings
publication_identifier:
issn:
- 2474-395X
publication_status: published
publisher: Materials Research Forum LLC
quality_controlled: '1'
status: public
title: Thermomechanical reverse flow forming of AISI 304L
type: conference
user_id: '41470'
volume: 41
year: '2024'
...
---
_id: '57177'
author:
- first_name: Julien
full_name: Jahneke, Julien
last_name: Jahneke
- first_name: Udo
full_name: Nolte, Udo
last_name: Nolte
- first_name: Mark
full_name: Henkenjohann, Mark
last_name: Henkenjohann
- first_name: Tobias
full_name: Seidenberg, Tobias
last_name: Seidenberg
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Jahneke J, Nolte U, Henkenjohann M, Seidenberg T, Henke C, Trächtler A. Development
and Implementation of a Modular Interface for a DroneCAN Communication Bus. In:
2024 IEEE Aerospace Conference. IEEE; 2024. doi:10.1109/aero58975.2024.10521247'
apa: Jahneke, J., Nolte, U., Henkenjohann, M., Seidenberg, T., Henke, C., &
Trächtler, A. (2024). Development and Implementation of a Modular Interface for
a DroneCAN Communication Bus. 2024 IEEE Aerospace Conference. https://doi.org/10.1109/aero58975.2024.10521247
bibtex: '@inproceedings{Jahneke_Nolte_Henkenjohann_Seidenberg_Henke_Trächtler_2024,
title={Development and Implementation of a Modular Interface for a DroneCAN Communication
Bus}, DOI={10.1109/aero58975.2024.10521247},
booktitle={2024 IEEE Aerospace Conference}, publisher={IEEE}, author={Jahneke,
Julien and Nolte, Udo and Henkenjohann, Mark and Seidenberg, Tobias and Henke,
Christian and Trächtler, Ansgar}, year={2024} }'
chicago: Jahneke, Julien, Udo Nolte, Mark Henkenjohann, Tobias Seidenberg, Christian
Henke, and Ansgar Trächtler. “Development and Implementation of a Modular Interface
for a DroneCAN Communication Bus.” In 2024 IEEE Aerospace Conference. IEEE,
2024. https://doi.org/10.1109/aero58975.2024.10521247.
ieee: 'J. Jahneke, U. Nolte, M. Henkenjohann, T. Seidenberg, C. Henke, and A. Trächtler,
“Development and Implementation of a Modular Interface for a DroneCAN Communication
Bus,” 2024, doi: 10.1109/aero58975.2024.10521247.'
mla: Jahneke, Julien, et al. “Development and Implementation of a Modular Interface
for a DroneCAN Communication Bus.” 2024 IEEE Aerospace Conference, IEEE,
2024, doi:10.1109/aero58975.2024.10521247.
short: 'J. Jahneke, U. Nolte, M. Henkenjohann, T. Seidenberg, C. Henke, A. Trächtler,
in: 2024 IEEE Aerospace Conference, IEEE, 2024.'
date_created: 2024-11-18T10:10:45Z
date_updated: 2024-11-18T10:42:01Z
department:
- _id: '241'
- _id: '153'
doi: 10.1109/aero58975.2024.10521247
language:
- iso: eng
publication: 2024 IEEE Aerospace Conference
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Development and Implementation of a Modular Interface for a DroneCAN Communication
Bus
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '57180'
author:
- first_name: Cederic
full_name: Lenz, Cederic
last_name: Lenz
- first_name: Maximilian
full_name: Bause, Maximilian
id: '52175'
last_name: Bause
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Lenz C, Bause M, Henke C, Trächtler A. Boosting Low Data PINN Robustness with
Transfer Learning*. In: 2024 International Conference on Advanced Robotics
and Mechatronics (ICARM). IEEE; 2024. doi:10.1109/icarm62033.2024.10715896'
apa: Lenz, C., Bause, M., Henke, C., & Trächtler, A. (2024). Boosting Low Data
PINN Robustness with Transfer Learning*. 2024 International Conference on Advanced
Robotics and Mechatronics (ICARM). https://doi.org/10.1109/icarm62033.2024.10715896
bibtex: '@inproceedings{Lenz_Bause_Henke_Trächtler_2024, title={Boosting Low Data
PINN Robustness with Transfer Learning*}, DOI={10.1109/icarm62033.2024.10715896},
booktitle={2024 International Conference on Advanced Robotics and Mechatronics
(ICARM)}, publisher={IEEE}, author={Lenz, Cederic and Bause, Maximilian and Henke,
Christian and Trächtler, Ansgar}, year={2024} }'
chicago: Lenz, Cederic, Maximilian Bause, Christian Henke, and Ansgar Trächtler.
“Boosting Low Data PINN Robustness with Transfer Learning*.” In 2024 International
Conference on Advanced Robotics and Mechatronics (ICARM). IEEE, 2024. https://doi.org/10.1109/icarm62033.2024.10715896.
ieee: 'C. Lenz, M. Bause, C. Henke, and A. Trächtler, “Boosting Low Data PINN Robustness
with Transfer Learning*,” 2024, doi: 10.1109/icarm62033.2024.10715896.'
mla: Lenz, Cederic, et al. “Boosting Low Data PINN Robustness with Transfer Learning*.”
2024 International Conference on Advanced Robotics and Mechatronics (ICARM),
IEEE, 2024, doi:10.1109/icarm62033.2024.10715896.
short: 'C. Lenz, M. Bause, C. Henke, A. Trächtler, in: 2024 International Conference
on Advanced Robotics and Mechatronics (ICARM), IEEE, 2024.'
date_created: 2024-11-18T10:14:14Z
date_updated: 2024-11-18T10:41:11Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/icarm62033.2024.10715896
language:
- iso: eng
publication: 2024 International Conference on Advanced Robotics and Mechatronics (ICARM)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Boosting Low Data PINN Robustness with Transfer Learning*
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '57181'
author:
- first_name: Cederic
full_name: Lenz, Cederic
last_name: Lenz
- first_name: Maximilian
full_name: Bause, Maximilian
id: '52175'
last_name: Bause
- first_name: Fabian
full_name: Reiling, Fabian
last_name: Reiling
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Lenz C, Bause M, Reiling F, Henke C, Trächtler A. Contextual Anomaly Detection
in Hot Forming Production Line using PINN Architecture. In: 2024 IEEE International
Conference on Advanced Intelligent Mechatronics (AIM). IEEE; 2024. doi:10.1109/aim55361.2024.10637234'
apa: Lenz, C., Bause, M., Reiling, F., Henke, C., & Trächtler, A. (2024). Contextual
Anomaly Detection in Hot Forming Production Line using PINN Architecture. 2024
IEEE International Conference on Advanced Intelligent Mechatronics (AIM).
https://doi.org/10.1109/aim55361.2024.10637234
bibtex: '@inproceedings{Lenz_Bause_Reiling_Henke_Trächtler_2024, title={Contextual
Anomaly Detection in Hot Forming Production Line using PINN Architecture}, DOI={10.1109/aim55361.2024.10637234},
booktitle={2024 IEEE International Conference on Advanced Intelligent Mechatronics
(AIM)}, publisher={IEEE}, author={Lenz, Cederic and Bause, Maximilian and Reiling,
Fabian and Henke, Christian and Trächtler, Ansgar}, year={2024} }'
chicago: Lenz, Cederic, Maximilian Bause, Fabian Reiling, Christian Henke, and Ansgar
Trächtler. “Contextual Anomaly Detection in Hot Forming Production Line Using
PINN Architecture.” In 2024 IEEE International Conference on Advanced Intelligent
Mechatronics (AIM). IEEE, 2024. https://doi.org/10.1109/aim55361.2024.10637234.
ieee: 'C. Lenz, M. Bause, F. Reiling, C. Henke, and A. Trächtler, “Contextual Anomaly
Detection in Hot Forming Production Line using PINN Architecture,” 2024, doi:
10.1109/aim55361.2024.10637234.'
mla: Lenz, Cederic, et al. “Contextual Anomaly Detection in Hot Forming Production
Line Using PINN Architecture.” 2024 IEEE International Conference on Advanced
Intelligent Mechatronics (AIM), IEEE, 2024, doi:10.1109/aim55361.2024.10637234.
short: 'C. Lenz, M. Bause, F. Reiling, C. Henke, A. Trächtler, in: 2024 IEEE International
Conference on Advanced Intelligent Mechatronics (AIM), IEEE, 2024.'
date_created: 2024-11-18T10:14:46Z
date_updated: 2024-11-18T10:47:15Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/aim55361.2024.10637234
language:
- iso: eng
publication: 2024 IEEE International Conference on Advanced Intelligent Mechatronics
(AIM)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Contextual Anomaly Detection in Hot Forming Production Line using PINN Architecture
type: conference
user_id: '41470'
year: '2024'
...
---
_id: '57893'
abstract:
- lang: eng
text: AbstractControl engineering applications
usually require a model that accurately represents the dynamics of the system.
In addition to classical physical modeling, powerful data‐driven approaches are
gaining popularity. However, the resulting models may not be ideal for control
design due to their black‐box structure, which inherently limits interpretability.
Formulating the system dynamics in port‐Hamiltonian form is highly beneficial,
as its valuable property of passivity enables the straightforward design of globally
stable controllers while ensuring physical interpretability. In a recently published
article, we presented a method for data‐driven inference of port‐Hamiltonian models
for complex mechatronic systems, requiring only fundamental physical prior knowledge.
The resulting models accurately represent the nonlinear dynamics of the considered
systems and are physically interpretable. In this contribution, we advance our
previous work by including two key elements. Firstly, we demonstrate the application
of the above described data‐driven PCHD models for controller design. Preserving
the port‐Hamiltonian form in the closed loop not only guarantees global stability
and robustness but also ensures desired speed and damping characteristics. Since
control systems based on output measurements, which are continuously measured
during operation due to the feedback structure, we secondly aim to use this data.
Thus, we augment the existing modeling strategy with an intelligent adaptation
approach to address uncertainties and (un)predictable system changes in mechatronic
systems throughout their lifecycle, such as the installation of new components,
wear, or temperature fluctuations during operation. Our proposed algorithm for
recursively calculated data‐driven port‐Hamiltonian models utilizes a least‐squares
approach with extensions such as automatically adjusting the forgetting factor
and controlling the covariance matrix trace. We demonstrate the results through
model‐based application on an academic example and experimental validation on
a test bench.
author:
- first_name: Annika
full_name: Junker, Annika
id: '41470'
last_name: Junker
orcid: 0009-0002-6475-2503
- first_name: Julia
full_name: Timmermann, Julia
id: '15402'
last_name: Timmermann
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: Junker A, Timmermann J, Trächtler A. Adaptive Data‐Driven Models in Port‐Hamiltonian
Form for Control Design. PAMM. 2024;25(1). doi:10.1002/pamm.202400154
apa: Junker, A., Timmermann, J., & Trächtler, A. (2024). Adaptive Data‐Driven
Models in Port‐Hamiltonian Form for Control Design. PAMM, 25(1).
https://doi.org/10.1002/pamm.202400154
bibtex: '@article{Junker_Timmermann_Trächtler_2024, title={Adaptive Data‐Driven
Models in Port‐Hamiltonian Form for Control Design}, volume={25}, DOI={10.1002/pamm.202400154},
number={1}, journal={PAMM}, publisher={Wiley}, author={Junker, Annika and Timmermann,
Julia and Trächtler, Ansgar}, year={2024} }'
chicago: Junker, Annika, Julia Timmermann, and Ansgar Trächtler. “Adaptive Data‐Driven
Models in Port‐Hamiltonian Form for Control Design.” PAMM 25, no. 1 (2024).
https://doi.org/10.1002/pamm.202400154.
ieee: 'A. Junker, J. Timmermann, and A. Trächtler, “Adaptive Data‐Driven Models
in Port‐Hamiltonian Form for Control Design,” PAMM, vol. 25, no. 1, 2024,
doi: 10.1002/pamm.202400154.'
mla: Junker, Annika, et al. “Adaptive Data‐Driven Models in Port‐Hamiltonian Form
for Control Design.” PAMM, vol. 25, no. 1, Wiley, 2024, doi:10.1002/pamm.202400154.
short: A. Junker, J. Timmermann, A. Trächtler, PAMM 25 (2024).
date_created: 2025-01-01T16:11:38Z
date_updated: 2025-09-03T09:33:23Z
department:
- _id: '153'
- _id: '880'
doi: 10.1002/pamm.202400154
intvolume: ' 25'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://onlinelibrary.wiley.com/doi/epdf/10.1002/pamm.202400154
oa: '1'
project:
- _id: '690'
name: 'DART: Datengetriebene Methoden in der Regelungstechnik'
publication: PAMM
publication_identifier:
issn:
- 1617-7061
- 1617-7061
publication_status: published
publisher: Wiley
quality_controlled: '1'
status: public
title: Adaptive Data‐Driven Models in Port‐Hamiltonian Form for Control Design
type: journal_article
user_id: '15402'
volume: 25
year: '2024'
...
---
_id: '62025'
abstract:
- lang: eng
text: ABSTRACTThis paper deals with micromagnetic
measurements for online detection of strain‐induced α′‐martensite during plastic
deformation of metastable austenitic steel AISI 304L. The operating principles
of the sensors are magnetic Barkhausen noise (MBN) and eddy currents (EC), which
are suitable for detection of microstructure evolution due to formation of ferromagnetic
phases. The focus of this study was put on the qualification of different micromagnetic
techniques and different measurement systems under conditions similar to the real
ones during production, which is crucial for implementation of a property‐controlled
flow forming process. The investigation was carried out on tubular specimens produced
by flow forming, which have different content of α′‐martensite. To characterize
the sensitivity of the sensors, different contact conditions between sensors and
workpieces were reproduced. MBN sensors are suitable for detecting amount of α′‐martensite,
but the measurements are affected by the surface roughness. This entails that
the calibration models for MBN sensors must take account of these effects. EC
sensors show a closer match with the amount of α′‐martensite without having major
affectation by other effects.
article_number: e13070
author:
- first_name: Julian
full_name: Rozo Vasquez, Julian
last_name: Rozo Vasquez
- first_name: Hanigah
full_name: Kanagarajah, Hanigah
last_name: Kanagarajah
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
citation:
ama: Rozo Vasquez J, Kanagarajah H, Arian B, et al. Barkhausen Noise‐ and Eddy Current‐Based
Measurements for Online Detection of Deformation‐Induced Martensite During Flow
Forming of Metastable Austenitic Steel <scp>AISI 304L</scp>. Engineering
Reports. 2024;7(1). doi:10.1002/eng2.13070
apa: Rozo Vasquez, J., Kanagarajah, H., Arian, B., Kersting, L., Homberg, W., Trächtler,
A., & Walther, F. (2024). Barkhausen Noise‐ and Eddy Current‐Based Measurements
for Online Detection of Deformation‐Induced Martensite During Flow Forming of
Metastable Austenitic Steel <scp>AISI 304L</scp>. Engineering
Reports, 7(1), Article e13070. https://doi.org/10.1002/eng2.13070
bibtex: '@article{Rozo Vasquez_Kanagarajah_Arian_Kersting_Homberg_Trächtler_Walther_2024,
title={Barkhausen Noise‐ and Eddy Current‐Based Measurements for Online Detection
of Deformation‐Induced Martensite During Flow Forming of Metastable Austenitic
Steel <scp>AISI 304L</scp>}, volume={7}, DOI={10.1002/eng2.13070},
number={1e13070}, journal={Engineering Reports}, publisher={Wiley}, author={Rozo
Vasquez, Julian and Kanagarajah, Hanigah and Arian, Bahman and Kersting, Lukas
and Homberg, Werner and Trächtler, Ansgar and Walther, Frank}, year={2024} }'
chicago: Rozo Vasquez, Julian, Hanigah Kanagarajah, Bahman Arian, Lukas Kersting,
Werner Homberg, Ansgar Trächtler, and Frank Walther. “Barkhausen Noise‐ and Eddy
Current‐Based Measurements for Online Detection of Deformation‐Induced Martensite
During Flow Forming of Metastable Austenitic Steel <scp>AISI 304L</Scp>.”
Engineering Reports 7, no. 1 (2024). https://doi.org/10.1002/eng2.13070.
ieee: 'J. Rozo Vasquez et al., “Barkhausen Noise‐ and Eddy Current‐Based
Measurements for Online Detection of Deformation‐Induced Martensite During Flow
Forming of Metastable Austenitic Steel <scp>AISI 304L</scp>,”
Engineering Reports, vol. 7, no. 1, Art. no. e13070, 2024, doi: 10.1002/eng2.13070.'
mla: Rozo Vasquez, Julian, et al. “Barkhausen Noise‐ and Eddy Current‐Based Measurements
for Online Detection of Deformation‐Induced Martensite During Flow Forming of
Metastable Austenitic Steel <scp>AISI 304L</Scp>.” Engineering
Reports, vol. 7, no. 1, e13070, Wiley, 2024, doi:10.1002/eng2.13070.
short: J. Rozo Vasquez, H. Kanagarajah, B. Arian, L. Kersting, W. Homberg, A. Trächtler,
F. Walther, Engineering Reports 7 (2024).
date_created: 2025-10-30T12:25:57Z
date_updated: 2025-10-30T12:54:40Z
department:
- _id: '153'
- _id: '241'
- _id: '156'
doi: 10.1002/eng2.13070
intvolume: ' 7'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1002/eng2.13070
oa: '1'
publication: Engineering Reports
publication_identifier:
issn:
- 2577-8196
- 2577-8196
publication_status: published
publisher: Wiley
status: public
title: Barkhausen Noise‐ and Eddy Current‐Based Measurements for Online Detection
of Deformation‐Induced Martensite During Flow Forming of Metastable Austenitic Steel
AISI 304L
type: journal_article
user_id: '82875'
volume: 7
year: '2024'
...
---
_id: '62053'
abstract:
- lang: eng
text: ABSTRACTThis paper deals with micromagnetic
measurements for online detection of strain‐induced α′‐martensite during plastic
deformation of metastable austenitic steel AISI 304L. The operating principles
of the sensors are magnetic Barkhausen noise (MBN) and eddy currents (EC), which
are suitable for detection of microstructure evolution due to formation of ferromagnetic
phases. The focus of this study was put on the qualification of different micromagnetic
techniques and different measurement systems under conditions similar to the real
ones during production, which is crucial for implementation of a property‐controlled
flow forming process. The investigation was carried out on tubular specimens produced
by flow forming, which have different content of α′‐martensite. To characterize
the sensitivity of the sensors, different contact conditions between sensors and
workpieces were reproduced. MBN sensors are suitable for detecting amount of α′‐martensite,
but the measurements are affected by the surface roughness. This entails that
the calibration models for MBN sensors must take account of these effects. EC
sensors show a closer match with the amount of α′‐martensite without having major
affectation by other effects.
article_number: e13070
author:
- first_name: Julian
full_name: Rozo Vasquez, Julian
last_name: Rozo Vasquez
- first_name: Hanigah
full_name: Kanagarajah, Hanigah
last_name: Kanagarajah
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
citation:
ama: Rozo Vasquez J, Kanagarajah H, Arian B, et al. Barkhausen Noise‐ and Eddy Current‐Based
Measurements for Online Detection of Deformation‐Induced Martensite During Flow
Forming of Metastable Austenitic Steel <scp>AISI 304L</scp>. Engineering
Reports. 2024;7(1). doi:10.1002/eng2.13070
apa: Rozo Vasquez, J., Kanagarajah, H., Arian, B., Kersting, L., Homberg, W., Trächtler,
A., & Walther, F. (2024). Barkhausen Noise‐ and Eddy Current‐Based Measurements
for Online Detection of Deformation‐Induced Martensite During Flow Forming of
Metastable Austenitic Steel <scp>AISI 304L</scp>. Engineering
Reports, 7(1), Article e13070. https://doi.org/10.1002/eng2.13070
bibtex: '@article{Rozo Vasquez_Kanagarajah_Arian_Kersting_Homberg_Trächtler_Walther_2024,
title={Barkhausen Noise‐ and Eddy Current‐Based Measurements for Online Detection
of Deformation‐Induced Martensite During Flow Forming of Metastable Austenitic
Steel <scp>AISI 304L</scp>}, volume={7}, DOI={10.1002/eng2.13070},
number={1e13070}, journal={Engineering Reports}, publisher={Wiley}, author={Rozo
Vasquez, Julian and Kanagarajah, Hanigah and Arian, Bahman and Kersting, Lukas
and Homberg, Werner and Trächtler, Ansgar and Walther, Frank}, year={2024} }'
chicago: Rozo Vasquez, Julian, Hanigah Kanagarajah, Bahman Arian, Lukas Kersting,
Werner Homberg, Ansgar Trächtler, and Frank Walther. “Barkhausen Noise‐ and Eddy
Current‐Based Measurements for Online Detection of Deformation‐Induced Martensite
During Flow Forming of Metastable Austenitic Steel <scp>AISI 304L</Scp>.”
Engineering Reports 7, no. 1 (2024). https://doi.org/10.1002/eng2.13070.
ieee: 'J. Rozo Vasquez et al., “Barkhausen Noise‐ and Eddy Current‐Based
Measurements for Online Detection of Deformation‐Induced Martensite During Flow
Forming of Metastable Austenitic Steel <scp>AISI 304L</scp>,”
Engineering Reports, vol. 7, no. 1, Art. no. e13070, 2024, doi: 10.1002/eng2.13070.'
mla: Rozo Vasquez, Julian, et al. “Barkhausen Noise‐ and Eddy Current‐Based Measurements
for Online Detection of Deformation‐Induced Martensite During Flow Forming of
Metastable Austenitic Steel <scp>AISI 304L</Scp>.” Engineering
Reports, vol. 7, no. 1, e13070, Wiley, 2024, doi:10.1002/eng2.13070.
short: J. Rozo Vasquez, H. Kanagarajah, B. Arian, L. Kersting, W. Homberg, A. Trächtler,
F. Walther, Engineering Reports 7 (2024).
date_created: 2025-11-03T10:28:12Z
date_updated: 2025-11-03T10:29:18Z
department:
- _id: '153'
- _id: '241'
- _id: '156'
doi: 10.1002/eng2.13070
intvolume: ' 7'
issue: '1'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://doi.org/10.1002/eng2.13070
oa: '1'
publication: Engineering Reports
publication_identifier:
issn:
- 2577-8196
- 2577-8196
publication_status: published
publisher: Wiley
status: public
title: Barkhausen Noise‐ and Eddy Current‐Based Measurements for Online Detection
of Deformation‐Induced Martensite During Flow Forming of Metastable Austenitic Steel
AISI 304L
type: journal_article
user_id: '82875'
volume: 7
year: '2024'
...
---
_id: '48577'
author:
- first_name: Mark
full_name: Henkenjohann, Mark
last_name: Henkenjohann
- first_name: Udo
full_name: Nolte, Udo
last_name: Nolte
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Henkenjohann M, Nolte U, Henke C, Trächtler A. Novel Cascaded Incremental
Nonlinear Dynamic Inversion Controller Approach for a Tiltrotor VTOL. In: 2023
International Conference on Unmanned Aircraft Systems (ICUAS). IEEE; 2023.
doi:10.1109/icuas57906.2023.10156317'
apa: Henkenjohann, M., Nolte, U., Henke, C., & Trächtler, A. (2023). Novel Cascaded
Incremental Nonlinear Dynamic Inversion Controller Approach for a Tiltrotor VTOL.
2023 International Conference on Unmanned Aircraft Systems (ICUAS). https://doi.org/10.1109/icuas57906.2023.10156317
bibtex: '@inproceedings{Henkenjohann_Nolte_Henke_Trächtler_2023, title={Novel Cascaded
Incremental Nonlinear Dynamic Inversion Controller Approach for a Tiltrotor VTOL},
DOI={10.1109/icuas57906.2023.10156317},
booktitle={2023 International Conference on Unmanned Aircraft Systems (ICUAS)},
publisher={IEEE}, author={Henkenjohann, Mark and Nolte, Udo and Henke, Christian
and Trächtler, Ansgar}, year={2023} }'
chicago: Henkenjohann, Mark, Udo Nolte, Christian Henke, and Ansgar Trächtler. “Novel
Cascaded Incremental Nonlinear Dynamic Inversion Controller Approach for a Tiltrotor
VTOL.” In 2023 International Conference on Unmanned Aircraft Systems (ICUAS).
IEEE, 2023. https://doi.org/10.1109/icuas57906.2023.10156317.
ieee: 'M. Henkenjohann, U. Nolte, C. Henke, and A. Trächtler, “Novel Cascaded Incremental
Nonlinear Dynamic Inversion Controller Approach for a Tiltrotor VTOL,” 2023, doi:
10.1109/icuas57906.2023.10156317.'
mla: Henkenjohann, Mark, et al. “Novel Cascaded Incremental Nonlinear Dynamic Inversion
Controller Approach for a Tiltrotor VTOL.” 2023 International Conference on
Unmanned Aircraft Systems (ICUAS), IEEE, 2023, doi:10.1109/icuas57906.2023.10156317.
short: 'M. Henkenjohann, U. Nolte, C. Henke, A. Trächtler, in: 2023 International
Conference on Unmanned Aircraft Systems (ICUAS), IEEE, 2023.'
date_created: 2023-10-31T15:47:14Z
date_updated: 2023-10-31T15:47:55Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/icuas57906.2023.10156317
language:
- iso: eng
publication: 2023 International Conference on Unmanned Aircraft Systems (ICUAS)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: Novel Cascaded Incremental Nonlinear Dynamic Inversion Controller Approach
for a Tiltrotor VTOL
type: conference
user_id: '41470'
year: '2023'
...
---
_id: '44316'
author:
- first_name: Julian
full_name: Rozo Vasquez, Julian
last_name: Rozo Vasquez
- first_name: Bahman
full_name: Arian, Bahman
id: '36287'
last_name: Arian
- first_name: Lukas
full_name: Kersting, Lukas
last_name: Kersting
- first_name: Frank
full_name: Walther, Frank
last_name: Walther
- first_name: Werner
full_name: Homberg, Werner
id: '233'
last_name: Homberg
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Rozo Vasquez J, Arian B, Kersting L, Walther F, Homberg W, Trächtler A. Softsensor
model of phase transformation during flow forming of metastable austenitic steel
AISI 304L. In: ; 2023.'
apa: Rozo Vasquez, J., Arian, B., Kersting, L., Walther, F., Homberg, W., &
Trächtler, A. (2023). Softsensor model of phase transformation during flow
forming of metastable austenitic steel AISI 304L. The 14th International Conference
on Numerical Methods in Industrial Forming Processes (Numiform 2023), Krakau.
bibtex: '@inproceedings{Rozo Vasquez_Arian_Kersting_Walther_Homberg_Trächtler_2023,
title={Softsensor model of phase transformation during flow forming of metastable
austenitic steel AISI 304L}, author={Rozo Vasquez, Julian and Arian, Bahman and
Kersting, Lukas and Walther, Frank and Homberg, Werner and Trächtler, Ansgar},
year={2023} }'
chicago: Rozo Vasquez, Julian, Bahman Arian, Lukas Kersting, Frank Walther, Werner
Homberg, and Ansgar Trächtler. “Softsensor Model of Phase Transformation during
Flow Forming of Metastable Austenitic Steel AISI 304L,” 2023.
ieee: J. Rozo Vasquez, B. Arian, L. Kersting, F. Walther, W. Homberg, and A. Trächtler,
“Softsensor model of phase transformation during flow forming of metastable austenitic
steel AISI 304L,” presented at the The 14th International Conference on Numerical
Methods in Industrial Forming Processes (Numiform 2023), Krakau, 2023.
mla: Rozo Vasquez, Julian, et al. Softsensor Model of Phase Transformation during
Flow Forming of Metastable Austenitic Steel AISI 304L. 2023.
short: 'J. Rozo Vasquez, B. Arian, L. Kersting, F. Walther, W. Homberg, A. Trächtler,
in: 2023.'
conference:
end_date: 2023-06-29
location: Krakau
name: The 14th International Conference on Numerical Methods in Industrial Forming
Processes (Numiform 2023)
start_date: 2023-06-25
date_created: 2023-05-02T09:56:46Z
date_updated: 2023-11-07T00:01:46Z
department:
- _id: '156'
- _id: '241'
- _id: '153'
language:
- iso: eng
quality_controlled: '1'
status: public
title: Softsensor model of phase transformation during flow forming of metastable
austenitic steel AISI 304L
type: conference
user_id: '14931'
year: '2023'
...
---
_id: '48781'
abstract:
- lang: eng
text: In a punch-bending machine, wire products are manufactured for a wide range
of industrial sectors, such as the electronics industry. The raw material for
this process is flat wire made of high-strength steel. During the manufacturing
process of the flat wire, residual stresses and plastic deformations are induced
into the wire. These residual stresses and deformations fluctuate over the length
of the semi-finished product and have a negative effect on the final product quality.
Straightening machines are used to reduce this influence to a minimum. So far,
the adjustment of a straightening machine has been performed manually, which is
a lengthy and complex task even for an experienced worker. This inevitably leads
to the use of inefficient straightening strategies and causes high rejection rates
in the entire production process. Due to a lack of sensor information from the
straightening operation, application of modern feedback control methods has not
been practicable. This paper presents a novel design for a straightening machine
with an integrated, precise straightening force measurement. By simultaneously
monitoring the position of the straightening rollers, state variables of the straightening
operation can be derived. Additionally, a tension control for feeding the flat
wire is introduced. This is implemented to mitigate the disturbing effects caused
by irregularities in the wire-feeding process. In the results of this article,
the high precision of the developed force measurement design and its possible
applications are shown.
author:
- first_name: Lukas
full_name: Bathelt, Lukas
last_name: Bathelt
- first_name: Maximilian
full_name: Scurk, Maximilian
last_name: Scurk
- first_name: Eugen
full_name: Djakow, Eugen
id: '7904'
last_name: Djakow
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: Bathelt L, Scurk M, Djakow E, Henke C, Trächtler A. Novel Straightening-Machine
Design with Integrated Force Measurement for Straightening of High-Strength Flat
Wire. Sensors. 2023;23(22). doi:10.3390/s23229091
apa: Bathelt, L., Scurk, M., Djakow, E., Henke, C., & Trächtler, A. (2023).
Novel Straightening-Machine Design with Integrated Force Measurement for Straightening
of High-Strength Flat Wire. Sensors, 23(22). https://doi.org/10.3390/s23229091
bibtex: '@article{Bathelt_Scurk_Djakow_Henke_Trächtler_2023, title={Novel Straightening-Machine
Design with Integrated Force Measurement for Straightening of High-Strength Flat
Wire}, volume={23}, DOI={10.3390/s23229091},
number={22}, journal={Sensors}, author={Bathelt, Lukas and Scurk, Maximilian and
Djakow, Eugen and Henke, Christian and Trächtler, Ansgar}, year={2023} }'
chicago: Bathelt, Lukas, Maximilian Scurk, Eugen Djakow, Christian Henke, and Ansgar
Trächtler. “Novel Straightening-Machine Design with Integrated Force Measurement
for Straightening of High-Strength Flat Wire.” Sensors 23, no. 22 (2023).
https://doi.org/10.3390/s23229091.
ieee: 'L. Bathelt, M. Scurk, E. Djakow, C. Henke, and A. Trächtler, “Novel Straightening-Machine
Design with Integrated Force Measurement for Straightening of High-Strength Flat
Wire,” Sensors, vol. 23, no. 22, 2023, doi: 10.3390/s23229091.'
mla: Bathelt, Lukas, et al. “Novel Straightening-Machine Design with Integrated
Force Measurement for Straightening of High-Strength Flat Wire.” Sensors,
vol. 23, no. 22, 2023, doi:10.3390/s23229091.
short: L. Bathelt, M. Scurk, E. Djakow, C. Henke, A. Trächtler, Sensors 23 (2023).
date_created: 2023-11-10T14:25:34Z
date_updated: 2023-11-10T14:28:15Z
department:
- _id: '241'
- _id: '153'
doi: 10.3390/s23229091
intvolume: ' 23'
issue: '22'
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://www.mdpi.com/1424-8220/23/22/9091
oa: '1'
publication: Sensors
publication_identifier:
issn:
- 1424-8220
quality_controlled: '1'
status: public
title: Novel Straightening-Machine Design with Integrated Force Measurement for Straightening
of High-Strength Flat Wire
type: journal_article
user_id: '41470'
volume: 23
year: '2023'
...
---
_id: '48570'
author:
- first_name: Cederic
full_name: Lenz, Cederic
last_name: Lenz
- first_name: Christian
full_name: Henke, Christian
last_name: Henke
- first_name: Ansgar
full_name: Trächtler, Ansgar
id: '552'
last_name: Trächtler
citation:
ama: 'Lenz C, Henke C, Trächtler A. A Methodical Approach to Hybrid Modelling for
Contextual Anomaly Detection on Time-Series Data. In: 2023 IEEE 21st International
Conference on Industrial Informatics (INDIN). IEEE; 2023. doi:10.1109/indin51400.2023.10218108'
apa: Lenz, C., Henke, C., & Trächtler, A. (2023). A Methodical Approach to Hybrid
Modelling for Contextual Anomaly Detection on Time-Series Data. 2023 IEEE 21st
International Conference on Industrial Informatics (INDIN). https://doi.org/10.1109/indin51400.2023.10218108
bibtex: '@inproceedings{Lenz_Henke_Trächtler_2023, title={A Methodical Approach
to Hybrid Modelling for Contextual Anomaly Detection on Time-Series Data}, DOI={10.1109/indin51400.2023.10218108},
booktitle={2023 IEEE 21st International Conference on Industrial Informatics (INDIN)},
publisher={IEEE}, author={Lenz, Cederic and Henke, Christian and Trächtler, Ansgar},
year={2023} }'
chicago: Lenz, Cederic, Christian Henke, and Ansgar Trächtler. “A Methodical Approach
to Hybrid Modelling for Contextual Anomaly Detection on Time-Series Data.” In
2023 IEEE 21st International Conference on Industrial Informatics (INDIN).
IEEE, 2023. https://doi.org/10.1109/indin51400.2023.10218108.
ieee: 'C. Lenz, C. Henke, and A. Trächtler, “A Methodical Approach to Hybrid Modelling
for Contextual Anomaly Detection on Time-Series Data,” 2023, doi: 10.1109/indin51400.2023.10218108.'
mla: Lenz, Cederic, et al. “A Methodical Approach to Hybrid Modelling for Contextual
Anomaly Detection on Time-Series Data.” 2023 IEEE 21st International Conference
on Industrial Informatics (INDIN), IEEE, 2023, doi:10.1109/indin51400.2023.10218108.
short: 'C. Lenz, C. Henke, A. Trächtler, in: 2023 IEEE 21st International Conference
on Industrial Informatics (INDIN), IEEE, 2023.'
date_created: 2023-10-31T13:49:23Z
date_updated: 2023-10-31T13:50:43Z
department:
- _id: '153'
- _id: '241'
doi: 10.1109/indin51400.2023.10218108
language:
- iso: eng
publication: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN)
publication_status: published
publisher: IEEE
quality_controlled: '1'
status: public
title: A Methodical Approach to Hybrid Modelling for Contextual Anomaly Detection
on Time-Series Data
type: conference
user_id: '41470'
year: '2023'
...