---
_id: '63498'
author:
- first_name: Wilhelm
full_name: Kirchgässner, Wilhelm
last_name: Kirchgässner
- first_name: Nikolas
full_name: Förster, Nikolas
last_name: Förster
- first_name: Till
full_name: Piepenbrock, Till
last_name: Piepenbrock
- first_name: Oliver
full_name: Schweins, Oliver
last_name: Schweins
- first_name: Oliver
full_name: Wallscheid, Oliver
last_name: Wallscheid
citation:
ama: 'Kirchgässner W, Förster N, Piepenbrock T, Schweins O, Wallscheid O. HARDCORE:
H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated
Convolutional Neural Networks in Ferrite Cores. IEEE Transactions on Power
Electronics. 2025;40(2):3326-3335. doi:10.1109/TPEL.2024.3488174'
apa: 'Kirchgässner, W., Förster, N., Piepenbrock, T., Schweins, O., & Wallscheid,
O. (2025). HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms
With Residual, Dilated Convolutional Neural Networks in Ferrite Cores. IEEE
Transactions on Power Electronics, 40(2), 3326–3335. https://doi.org/10.1109/TPEL.2024.3488174'
bibtex: '@article{Kirchgässner_Förster_Piepenbrock_Schweins_Wallscheid_2025, title={HARDCORE:
H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual, Dilated
Convolutional Neural Networks in Ferrite Cores}, volume={40}, DOI={10.1109/TPEL.2024.3488174},
number={2}, journal={IEEE Transactions on Power Electronics}, author={Kirchgässner,
Wilhelm and Förster, Nikolas and Piepenbrock, Till and Schweins, Oliver and Wallscheid,
Oliver}, year={2025}, pages={3326–3335} }'
chicago: 'Kirchgässner, Wilhelm, Nikolas Förster, Till Piepenbrock, Oliver Schweins,
and Oliver Wallscheid. “HARDCORE: H-Field and Power Loss Estimation for Arbitrary
Waveforms With Residual, Dilated Convolutional Neural Networks in Ferrite Cores.”
IEEE Transactions on Power Electronics 40, no. 2 (2025): 3326–35. https://doi.org/10.1109/TPEL.2024.3488174.'
ieee: 'W. Kirchgässner, N. Förster, T. Piepenbrock, O. Schweins, and O. Wallscheid,
“HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual,
Dilated Convolutional Neural Networks in Ferrite Cores,” IEEE Transactions
on Power Electronics, vol. 40, no. 2, pp. 3326–3335, 2025, doi: 10.1109/TPEL.2024.3488174.'
mla: 'Kirchgässner, Wilhelm, et al. “HARDCORE: H-Field and Power Loss Estimation
for Arbitrary Waveforms With Residual, Dilated Convolutional Neural Networks in
Ferrite Cores.” IEEE Transactions on Power Electronics, vol. 40, no. 2,
2025, pp. 3326–35, doi:10.1109/TPEL.2024.3488174.'
short: W. Kirchgässner, N. Förster, T. Piepenbrock, O. Schweins, O. Wallscheid,
IEEE Transactions on Power Electronics 40 (2025) 3326–3335.
date_created: 2026-01-06T08:07:13Z
date_updated: 2026-01-06T08:08:01Z
department:
- _id: '52'
doi: 10.1109/TPEL.2024.3488174
intvolume: ' 40'
issue: '2'
keyword:
- Mathematical models
- Estimation
- Data models
- Convolutional neural networks
- Accuracy
- Magnetic hysteresis
- Magnetic cores
- Temperature measurement
- Magnetic domains
- Temperature distribution
- Convolutional neural network (CNN)
- machine learning (ML)
- magnetics
page: 3326-3335
publication: IEEE Transactions on Power Electronics
status: public
title: 'HARDCORE: H-Field and Power Loss Estimation for Arbitrary Waveforms With Residual,
Dilated Convolutional Neural Networks in Ferrite Cores'
type: journal_article
user_id: '83383'
volume: 40
year: '2025'
...
---
_id: '9879'
abstract:
- lang: eng
text: Application of prognostics and health management (PHM) in the field of Proton
Exchange Membrane (PEM) fuel cells is emerging as an important tool in increasing
the reliability and availability of these systems. Though a lot of work is currently
being conducted to develop PHM systems for fuel cells, various challenges have
been encountered including the self-healing effect after characterization as well
as accelerated degradation due to dynamic loading, all which make RUL predictions
a difficult task. In this study, a prognostic approach based on adaptive particle
filter algorithm is proposed. The novelty of the proposed method lies in the introduction
of a self-healing factor after each characterization and the adaption of the degradation
model parameters to fit to the changing degradation trend. An ensemble of five
different state models based on weighted mean is then developed. The results show
that the method is effective in estimating the remaining useful life of PEM fuel
cells, with majority of the predictions falling within 5\% error. The method was
employed in the IEEE 2014 PHM Data Challenge and led to our team emerging the
winner of the RUL category of the challenge.
author:
- first_name: 'James Kuria '
full_name: 'Kimotho, James Kuria '
last_name: Kimotho
- first_name: Tobias
full_name: Meyer, Tobias
last_name: Meyer
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Kimotho JK, Meyer T, Sextro W. PEM fuel cell prognostics using particle filter
with model parameter adaptation. In: Prognostics and Health Management (PHM),
2014 IEEE Conference On. ; 2014:1-6. doi:10.1109/ICPHM.2014.7036406'
apa: Kimotho, J. K., Meyer, T., & Sextro, W. (2014). PEM fuel cell prognostics
using particle filter with model parameter adaptation. In Prognostics and Health
Management (PHM), 2014 IEEE Conference on (pp. 1–6). https://doi.org/10.1109/ICPHM.2014.7036406
bibtex: '@inproceedings{Kimotho_Meyer_Sextro_2014, title={PEM fuel cell prognostics
using particle filter with model parameter adaptation}, DOI={10.1109/ICPHM.2014.7036406},
booktitle={Prognostics and Health Management (PHM), 2014 IEEE Conference on},
author={Kimotho, James Kuria and Meyer, Tobias and Sextro, Walter}, year={2014},
pages={1–6} }'
chicago: Kimotho, James Kuria , Tobias Meyer, and Walter Sextro. “PEM Fuel Cell
Prognostics Using Particle Filter with Model Parameter Adaptation.” In Prognostics
and Health Management (PHM), 2014 IEEE Conference On, 1–6, 2014. https://doi.org/10.1109/ICPHM.2014.7036406.
ieee: J. K. Kimotho, T. Meyer, and W. Sextro, “PEM fuel cell prognostics using particle
filter with model parameter adaptation,” in Prognostics and Health Management
(PHM), 2014 IEEE Conference on, 2014, pp. 1–6.
mla: Kimotho, James Kuria, et al. “PEM Fuel Cell Prognostics Using Particle Filter
with Model Parameter Adaptation.” Prognostics and Health Management (PHM),
2014 IEEE Conference On, 2014, pp. 1–6, doi:10.1109/ICPHM.2014.7036406.
short: 'J.K. Kimotho, T. Meyer, W. Sextro, in: Prognostics and Health Management
(PHM), 2014 IEEE Conference On, 2014, pp. 1–6.'
date_created: 2019-05-20T13:11:02Z
date_updated: 2019-05-20T13:12:27Z
department:
- _id: '151'
doi: 10.1109/ICPHM.2014.7036406
keyword:
- ageing
- particle filtering (numerical methods)
- proton exchange membrane fuel cells
- remaining life assessment
- PEM fuel cell prognostics
- PHM
- RUL predictions
- accelerated degradation
- adaptive particle filter algorithm
- dynamic loading
- model parameter adaptation
- prognostics and health management
- proton exchange membrane fuel cells
- remaining useful life estimation
- self-healing effect
- Adaptation models
- Data models
- Degradation
- Estimation
- Fuel cells
- Mathematical model
- Prognostics and health management
language:
- iso: eng
page: 1-6
publication: Prognostics and Health Management (PHM), 2014 IEEE Conference on
status: public
title: PEM fuel cell prognostics using particle filter with model parameter adaptation
type: conference
user_id: '55222'
year: '2014'
...
---
_id: '36994'
abstract:
- lang: eng
text: This paper proposes a quality driven, simulation based approach to functional
design verification, which applies mainly to IP-level HDL designs with well specified
test instruction format and is evaluated on a soft microprocessor core MB-LITE
[5]. The approach utilizes mutation analysis as the quality metric to steer an
automated simulation data generation process. It leads to a simulation flow with
two phases towards an enhanced mutation analysis result. First in a random simulation
phase, an in-loop heuristics is deployed and adjusts dynamically the test probability
distribution so as to improve the coverage efficiency. Next, for each remaining
hard-to-kill mutant, a search heuristics on test input space is developed to iteratively
locate a target test, using a specific objective cost function for the goal of
killing HDL mutant. The effectiveness of this integrated two-phase simulation
flow is demonstrated by the results with the MB-LITE microprocessor IP.
author:
- first_name: 'Tao '
full_name: 'Xie, Tao '
last_name: Xie
- first_name: Wolfgang
full_name: Müller, Wolfgang
id: '16243'
last_name: Müller
- first_name: Florian
full_name: Letombe, Florian
last_name: Letombe
citation:
ama: 'Xie T, Müller W, Letombe F. Mutation-Analysis Driven Functional Verification
of a Soft Microprocessor. In: Proceedings of SOCC2012. IEEE; 2012. doi:10.1109/SOCC.2012.6398362'
apa: Xie, T., Müller, W., & Letombe, F. (2012). Mutation-Analysis Driven Functional
Verification of a Soft Microprocessor. Proceedings of SOCC2012. https://doi.org/10.1109/SOCC.2012.6398362
bibtex: '@inproceedings{Xie_Müller_Letombe_2012, place={ Niagara Falls, NY, USA
}, title={Mutation-Analysis Driven Functional Verification of a Soft Microprocessor},
DOI={10.1109/SOCC.2012.6398362},
booktitle={Proceedings of SOCC2012}, publisher={IEEE}, author={Xie, Tao and Müller,
Wolfgang and Letombe, Florian}, year={2012} }'
chicago: 'Xie, Tao , Wolfgang Müller, and Florian Letombe. “Mutation-Analysis Driven
Functional Verification of a Soft Microprocessor.” In Proceedings of SOCC2012. Niagara
Falls, NY, USA : IEEE, 2012. https://doi.org/10.1109/SOCC.2012.6398362.'
ieee: 'T. Xie, W. Müller, and F. Letombe, “Mutation-Analysis Driven Functional Verification
of a Soft Microprocessor,” 2012, doi: 10.1109/SOCC.2012.6398362.'
mla: Xie, Tao, et al. “Mutation-Analysis Driven Functional Verification of a Soft
Microprocessor.” Proceedings of SOCC2012, IEEE, 2012, doi:10.1109/SOCC.2012.6398362.
short: 'T. Xie, W. Müller, F. Letombe, in: Proceedings of SOCC2012, IEEE, Niagara
Falls, NY, USA , 2012.'
date_created: 2023-01-17T08:46:14Z
date_updated: 2023-01-17T08:46:29Z
department:
- _id: '672'
doi: 10.1109/SOCC.2012.6398362
keyword:
- Analytical models
- Hardware design languages
- Microprocessors
- Cost function
- Data models
- Search problems
- IP networks
language:
- iso: eng
place: ' Niagara Falls, NY, USA '
publication: Proceedings of SOCC2012
publication_identifier:
eisbn:
- 978-1-4673-1295-0
publisher: IEEE
status: public
title: Mutation-Analysis Driven Functional Verification of a Soft Microprocessor
type: conference
user_id: '5786'
year: '2012'
...
---
_id: '37002'
abstract:
- lang: eng
text: HDL-mutation based fault injection and analysis is considered as an important
coverage metric for measuring the quality of design simulation processes [20,
3, 1, 2]. In this work, we try to solve the problem of automatic simulation data
generation targeting HDL mutation faults. We follow a search based approach and
eliminate the need for symbolic execution and mathematical constraint solving
from existing work. An objective cost function is defined on the test input space
and serves the guidance of search for fault-detecting test data. This is done
by first mapping the simulation traces under a test onto a control and data flow
graph structure which is extracted from the design. Then the progress of fault
detection can be measured quantitatively on this graph to be the cost value. By
minimizing this cost we approach the target test data. The effectiveness of the
cost function is investigated under an example neighborhood search scheme. Case
study with a floating point arithmetic IP design has shown that the cost function
is able to guide effectively the search procedure towards a fault-detecting test.
The cost calculation time as the search overhead was also observed to be minor
compared to the actual design simulation time.
author:
- first_name: Tao
full_name: Xie, Tao
last_name: Xie
- first_name: Wolfgang
full_name: Müller, Wolfgang
id: '16243'
last_name: Müller
- first_name: Florian
full_name: Letombe, Florian
last_name: Letombe
citation:
ama: 'Xie T, Müller W, Letombe F. HDL-Mutation Based Simulation Data Generation
by Propagation Guided Search. In: Proceedings of Euromicro DSD 2011. IEEE;
2011. doi:10.1109/DSD.2011.83'
apa: Xie, T., Müller, W., & Letombe, F. (2011). HDL-Mutation Based Simulation
Data Generation by Propagation Guided Search. Proceedings of Euromicro DSD
2011. https://doi.org/10.1109/DSD.2011.83
bibtex: '@inproceedings{Xie_Müller_Letombe_2011, place={Oulu, Finnland}, title={HDL-Mutation
Based Simulation Data Generation by Propagation Guided Search}, DOI={10.1109/DSD.2011.83},
booktitle={Proceedings of Euromicro DSD 2011}, publisher={IEEE}, author={Xie,
Tao and Müller, Wolfgang and Letombe, Florian}, year={2011} }'
chicago: 'Xie, Tao, Wolfgang Müller, and Florian Letombe. “HDL-Mutation Based Simulation
Data Generation by Propagation Guided Search.” In Proceedings of Euromicro
DSD 2011. Oulu, Finnland: IEEE, 2011. https://doi.org/10.1109/DSD.2011.83.'
ieee: 'T. Xie, W. Müller, and F. Letombe, “HDL-Mutation Based Simulation Data Generation
by Propagation Guided Search,” 2011, doi: 10.1109/DSD.2011.83.'
mla: Xie, Tao, et al. “HDL-Mutation Based Simulation Data Generation by Propagation
Guided Search.” Proceedings of Euromicro DSD 2011, IEEE, 2011, doi:10.1109/DSD.2011.83.
short: 'T. Xie, W. Müller, F. Letombe, in: Proceedings of Euromicro DSD 2011, IEEE,
Oulu, Finnland, 2011.'
date_created: 2023-01-17T09:02:48Z
date_updated: 2025-02-26T14:44:15Z
department:
- _id: '672'
doi: 10.1109/DSD.2011.83
keyword:
- Hardware design languages
- Cost function
- Computational modeling
- Fault detection
- Data models
- Analytical models
- Testing
language:
- iso: eng
place: Oulu, Finnland
publication: Proceedings of Euromicro DSD 2011
publication_identifier:
isbn:
- 978-1-4577-1048-3
publisher: IEEE
status: public
title: HDL-Mutation Based Simulation Data Generation by Propagation Guided Search
type: conference
user_id: '5786'
year: '2011'
...
---
_id: '39052'
abstract:
- lang: eng
text: Smart homes provide their users with maximum comfort and convenience. In this
paper, we present a profile management framework for situation-dependent customization
in smart home environments, which meet the user preferences with given device
capabilities. We apply profile processing and evolution methods to customize profiles
on the fly and to automatically evolve user preferences. Furthermore, we give
a comprehensive study on profile management technology.
author:
- first_name: Jinghua
full_name: Groppe, Jinghua
last_name: Groppe
- first_name: Wolfgang
full_name: Müller, Wolfgang
id: '16243'
last_name: Müller
citation:
ama: 'Groppe J, Müller W. Profile Management technology for Smart Customization
in Private Home Applications. In: Proceedings of the 1st International Workshop
on Secure and Ubiquitous Networks (SUN-2005). IEEE; 2005. doi:10.1109/DEXA.2005.156'
apa: Groppe, J., & Müller, W. (2005). Profile Management technology for Smart
Customization in Private Home Applications. Proceedings of the 1st International
Workshop on Secure and Ubiquitous Networks (SUN-2005). 16th International
Workshop on Database and Expert Systems Applications (DEXA’05), Copenhagen, Denmark
. https://doi.org/10.1109/DEXA.2005.156
bibtex: '@inproceedings{Groppe_Müller_2005, place={Copenhagen, Denmark }, title={Profile
Management technology for Smart Customization in Private Home Applications}, DOI={10.1109/DEXA.2005.156}, booktitle={Proceedings
of the 1st International Workshop on Secure and Ubiquitous Networks (SUN-2005)},
publisher={IEEE}, author={Groppe, Jinghua and Müller, Wolfgang}, year={2005} }'
chicago: 'Groppe, Jinghua, and Wolfgang Müller. “Profile Management Technology for
Smart Customization in Private Home Applications.” In Proceedings of the 1st
International Workshop on Secure and Ubiquitous Networks (SUN-2005). Copenhagen,
Denmark : IEEE, 2005. https://doi.org/10.1109/DEXA.2005.156.'
ieee: 'J. Groppe and W. Müller, “Profile Management technology for Smart Customization
in Private Home Applications,” presented at the 16th International Workshop on
Database and Expert Systems Applications (DEXA’05), Copenhagen, Denmark , 2005,
doi: 10.1109/DEXA.2005.156.'
mla: Groppe, Jinghua, and Wolfgang Müller. “Profile Management Technology for Smart
Customization in Private Home Applications.” Proceedings of the 1st International
Workshop on Secure and Ubiquitous Networks (SUN-2005), IEEE, 2005, doi:10.1109/DEXA.2005.156.
short: 'J. Groppe, W. Müller, in: Proceedings of the 1st International Workshop
on Secure and Ubiquitous Networks (SUN-2005), IEEE, Copenhagen, Denmark , 2005.'
conference:
location: 'Copenhagen, Denmark '
name: 16th International Workshop on Database and Expert Systems Applications (DEXA'05)
date_created: 2023-01-24T08:43:21Z
date_updated: 2023-01-24T08:43:27Z
department:
- _id: '672'
doi: 10.1109/DEXA.2005.156
keyword:
- Technology management
- Smart homes
- Environmental management
- Resource description framework
- Data models
- Navigation
- Mobile computing
- Embedded computing
- Ubiquitous computing
- Mobile communication
language:
- iso: eng
place: 'Copenhagen, Denmark '
publication: Proceedings of the 1st International Workshop on Secure and Ubiquitous
Networks (SUN-2005)
publication_identifier:
isbn:
- 0-7695-2424-9
publisher: IEEE
status: public
title: Profile Management technology for Smart Customization in Private Home Applications
type: conference
user_id: '5786'
year: '2005'
...