---
_id: '64787'
abstract:
- lang: eng
text: This study proposes a fault diagnostics methodology that addresses the challenges
posed by highly imbalanced datasets typical of railway applications, where faulty
conditions constitute the minority class. Fault diagnostics is performed from
the component level upward, considering each sensor’s proximity to its respective
critical component. Advanced signal analysis, feature engineering, and automated
data-driven model generation techniques were explored to achieve comprehensive
diagnostics, such that the model development process accounts for variations in
the operating conditions and differing levels of information availability. The
proposed methodology is evaluated on datasets from the MONOCAB, for scenarios
with limited faulty instances and on the Beijing 2024 IEEE PHM Conference data
challenge, which focused on fault diagnostics of railway systems under various
fault modes and operating conditions.
article_number: '1'
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: Raphael
full_name: Hanselle, Raphael
last_name: Hanselle
- first_name: Thomas
full_name: Rief, Thomas
last_name: Rief
- first_name: Maximilian
full_name: Beck, Maximilian
last_name: Beck
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Aimiyekagbon OK, Löwen A, Hanselle R, Rief T, Beck M, Sextro W. Multilevel
fault diagnostics for railway applications using limited historical data. In:
PHM Society Asia-Pacific Conference. Vol 5. ; 2025. doi:10.36001/phmap.2025.v5i1.4449'
apa: Aimiyekagbon, O. K., Löwen, A., Hanselle, R., Rief, T., Beck, M., & Sextro,
W. (2025). Multilevel fault diagnostics for railway applications using limited
historical data. PHM Society Asia-Pacific Conference, 5, Article
1. https://doi.org/10.36001/phmap.2025.v5i1.4449
bibtex: '@inproceedings{Aimiyekagbon_Löwen_Hanselle_Rief_Beck_Sextro_2025, title={Multilevel
fault diagnostics for railway applications using limited historical data}, volume={5},
DOI={10.36001/phmap.2025.v5i1.4449},
number={1}, booktitle={PHM Society Asia-Pacific Conference}, author={Aimiyekagbon,
Osarenren Kennedy and Löwen, Alexander and Hanselle, Raphael and Rief, Thomas
and Beck, Maximilian and Sextro, Walter}, year={2025} }'
chicago: Aimiyekagbon, Osarenren Kennedy, Alexander Löwen, Raphael Hanselle, Thomas
Rief, Maximilian Beck, and Walter Sextro. “Multilevel Fault Diagnostics for Railway
Applications Using Limited Historical Data.” In PHM Society Asia-Pacific Conference,
Vol. 5, 2025. https://doi.org/10.36001/phmap.2025.v5i1.4449.
ieee: 'O. K. Aimiyekagbon, A. Löwen, R. Hanselle, T. Rief, M. Beck, and W. Sextro,
“Multilevel fault diagnostics for railway applications using limited historical
data,” in PHM Society Asia-Pacific Conference, 2025, vol. 5, doi: 10.36001/phmap.2025.v5i1.4449.'
mla: Aimiyekagbon, Osarenren Kennedy, et al. “Multilevel Fault Diagnostics for Railway
Applications Using Limited Historical Data.” PHM Society Asia-Pacific Conference,
vol. 5, 1, 2025, doi:10.36001/phmap.2025.v5i1.4449.
short: 'O.K. Aimiyekagbon, A. Löwen, R. Hanselle, T. Rief, M. Beck, W. Sextro, in:
PHM Society Asia-Pacific Conference, 2025.'
date_created: 2026-02-27T20:41:54Z
date_updated: 2026-02-27T20:46:44Z
department:
- _id: '151'
doi: 10.36001/phmap.2025.v5i1.4449
intvolume: ' 5'
keyword:
- MONOCAB
- Beijing Data Challenge
- Diagnostics of railway systems
language:
- iso: eng
project:
- _id: '1355'
name: enableATO – Automatisierter Bahnverkehr als Backbone für eine nachhaltige,
vernetzte Mobilität im ländlichen Raum
publication: PHM Society Asia-Pacific Conference
publication_status: published
quality_controlled: '1'
status: public
title: Multilevel fault diagnostics for railway applications using limited historical
data
type: conference
user_id: '9557'
volume: 5
year: '2025'
...
---
_id: '30291'
abstract:
- lang: eng
text: "The volume comprises a variety of research approaches that seek to explore
and understand employees’ learning and development through and for work. Working
life reveals challenges through technological, economic and societal development
that can only rudimentarily be addressed by formal education and training. Workplace
learning becomes more and more important for employees and enterprises to successfully
cope with these challenges.\r\nWorkplace learning is a steadily growing field
of educational research but it lacks so far a scholastic canon – there is rather
a diversity of research approaches. This volume reflects this diversity by bringing
together researchers from different countries and different theoretical backgrounds,
presenting their current research on topics that all are relevant for understanding
presages, processes and outcomes of workplace learning. Hence, this volume is
of relevance for researchers as well as practitioners in the field and policy
makers."
alternative_title:
- Insights from a Growing Field
citation:
ama: Harteis C, Gijbels D, Kyndt E, eds. Research Approaches on Workplace Learning.
Springer International Publishing; 2022. doi:10.1007/978-3-030-89582-2
apa: Harteis, C., Gijbels, D., & Kyndt, E. (Eds.). (2022). Research Approaches
on Workplace Learning. Springer International Publishing. https://doi.org/10.1007/978-3-030-89582-2
bibtex: '@book{Harteis_Gijbels_Kyndt_2022, place={Cham}, title={Research Approaches
on Workplace Learning}, DOI={10.1007/978-3-030-89582-2},
publisher={Springer International Publishing}, year={2022} }'
chicago: 'Harteis, Christian, David Gijbels, and Eva Kyndt, eds. Research Approaches
on Workplace Learning. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-030-89582-2.'
ieee: 'C. Harteis, D. Gijbels, and E. Kyndt, Eds., Research Approaches on Workplace
Learning. Cham: Springer International Publishing, 2022.'
mla: Harteis, Christian, et al., editors. Research Approaches on Workplace Learning.
Springer International Publishing, 2022, doi:10.1007/978-3-030-89582-2.
short: C. Harteis, D. Gijbels, E. Kyndt, eds., Research Approaches on Workplace
Learning, Springer International Publishing, Cham, 2022.
date_created: 2022-03-13T19:13:27Z
date_updated: 2022-03-13T19:14:34Z
department:
- _id: '452'
doi: 10.1007/978-3-030-89582-2
editor:
- first_name: Christian
full_name: Harteis, Christian
id: '27503'
last_name: Harteis
orcid: https://orcid.org/0000-0002-3570-7626
- first_name: David
full_name: Gijbels, David
last_name: Gijbels
- first_name: Eva
full_name: Kyndt, Eva
last_name: Kyndt
keyword:
- new generation of researchersthe team level of workplace learningindividual level
of workplace learningorganizational level of workplace learningsocietal level of
workplace learninginterdependent cross-level research approachesWork AgencyWork-life
perspectivesTeam learningTeam climateSocial influences on team learningKnowledge
construction in teamsLearning cultureAcknowledgement of competencesTechnology and
professional learningCreation of a learning eco-systemDiversity as a challenge for
organisationsHigher education as preparation for WPLSocial support in networks and
professional learningvocational and professional education
language:
- iso: eng
place: Cham
publication_identifier:
isbn:
- '9783030895815'
- '9783030895822'
issn:
- 2210-5549
- 2210-5557
publication_status: published
publisher: Springer International Publishing
related_material:
link:
- relation: other
url: https://link.springer.com/book/10.1007/978-3-030-89582-2#about
status: public
title: Research Approaches on Workplace Learning
type: book_editor
user_id: '50788'
year: '2022'
...
---
_id: '3699'
abstract:
- lang: eng
text: When taxes on capital or wealth are levied, in most countries companies have
to be assessed in terms of their market value (MV). Estimating the MV of private
companies for tax purposes is a challenging task for tax authorities as MVs are
not available. In this study, I empirically analyse to what extent an accounting-based
tax valuation method for private companies, a simplified residual income model,
succeeds in matching the MV. I refer to the mandatory Standardised Combination
Model that is a special case of methods commonly used in several countries. In
the absence of market prices for private companies, I use a sample of small German
public companies as a proxy. I validate this approach using a sensitivity analysis
that involves matching the sample of public companies with that of private companies.
The results imply that the mandatory Standardised Combination Model leads to a
severe unequal treatment not only between public and private companies but also
among private companies across and within industries. Furthermore, I simulate
the effects of variation in the key parameters and highlight their impact on the
approximation quality of the Standardised Combination Method. The findings are
relevant to tax reform discussions as well as to tax policy-makers and practitioners
in many countries.
article_type: original
author:
- first_name: Jens
full_name: Müller, Jens
id: '1245'
last_name: Müller
citation:
ama: Müller J. The challenge of assessing the market value of private companies
using a standardised combination method for tax purposes--Lessons to be learnt
from past experience. European Accounting Review. 2014;(1):117--141.
apa: Müller, J. (2014). The challenge of assessing the market value of private companies
using a standardised combination method for tax purposes--Lessons to be learnt
from past experience. European Accounting Review, (1), 117--141.
bibtex: '@article{Müller_2014, title={The challenge of assessing the market value
of private companies using a standardised combination method for tax purposes--Lessons
to be learnt from past experience}, number={1}, journal={European Accounting Review},
author={Müller, Jens}, year={2014}, pages={117--141} }'
chicago: 'Müller, Jens. “The Challenge of Assessing the Market Value of Private
Companies Using a Standardised Combination Method for Tax Purposes--Lessons to
Be Learnt from Past Experience.” European Accounting Review, no. 1 (2014):
117--141.'
ieee: J. Müller, “The challenge of assessing the market value of private companies
using a standardised combination method for tax purposes--Lessons to be learnt
from past experience,” European Accounting Review, no. 1, pp. 117--141,
2014.
mla: Müller, Jens. “The Challenge of Assessing the Market Value of Private Companies
Using a Standardised Combination Method for Tax Purposes--Lessons to Be Learnt
from Past Experience.” European Accounting Review, no. 1, 2014, pp. 117--141.
short: J. Müller, European Accounting Review (2014) 117--141.
date_created: 2018-07-25T07:53:11Z
date_updated: 2022-01-06T06:59:30Z
department:
- _id: '189'
issue: '1'
jel:
- H2
- M41
keyword:
- Challenge of Assessing
- Tax Purposes
language:
- iso: eng
page: 117--141
publication: European Accounting Review
status: public
title: The challenge of assessing the market value of private companies using a standardised
combination method for tax purposes--Lessons to be learnt from past experience
type: journal_article
user_id: '48187'
year: '2014'
...
---
_id: '11841'
abstract:
- lang: eng
text: Recently, substantial progress has been made in the field of reverberant speech
signal processing, including both single- and multichannel de-reverberation techniques,
and automatic speech recognition (ASR) techniques robust to reverberation. To
evaluate state-of-the-art algorithms and obtain new insights regarding potential
future research directions, we propose a common evaluation framework including
datasets, tasks, and evaluation metrics for both speech enhancement and ASR techniques.
The proposed framework will be used as a common basis for the REVERB (REverberant
Voice Enhancement and Recognition Benchmark) challenge. This paper describes the
rationale behind the challenge, and provides a detailed description of the evaluation
framework and benchmark results.
author:
- first_name: Keisuke
full_name: Kinoshita, Keisuke
last_name: Kinoshita
- first_name: Marc
full_name: Delcroix, Marc
last_name: Delcroix
- first_name: Takuya
full_name: Yoshioka, Takuya
last_name: Yoshioka
- first_name: Tomohiro
full_name: Nakatani, Tomohiro
last_name: Nakatani
- first_name: Emanuel
full_name: Habets, Emanuel
last_name: Habets
- first_name: Reinhold
full_name: Haeb-Umbach, Reinhold
id: '242'
last_name: Haeb-Umbach
- first_name: Volker
full_name: Leutnant, Volker
last_name: Leutnant
- first_name: Armin
full_name: Sehr, Armin
last_name: Sehr
- first_name: Walter
full_name: Kellermann, Walter
last_name: Kellermann
- first_name: Roland
full_name: Maas, Roland
last_name: Maas
- first_name: Sharon
full_name: Gannot, Sharon
last_name: Gannot
- first_name: Bhiksha
full_name: Raj, Bhiksha
last_name: Raj
citation:
ama: 'Kinoshita K, Delcroix M, Yoshioka T, et al. The reverb challenge: a common
evaluation framework for dereverberation and recognition of reverberant speech.
In: IEEE Workshop on Applications of Signal Processing to Audio and Acoustics
. ; 2013:22-23.'
apa: 'Kinoshita, K., Delcroix, M., Yoshioka, T., Nakatani, T., Habets, E., Haeb-Umbach,
R., … Raj, B. (2013). The reverb challenge: a common evaluation framework for
dereverberation and recognition of reverberant speech. In IEEE Workshop on
Applications of Signal Processing to Audio and Acoustics (pp. 22–23).'
bibtex: '@inproceedings{Kinoshita_Delcroix_Yoshioka_Nakatani_Habets_Haeb-Umbach_Leutnant_Sehr_Kellermann_Maas_et
al._2013, title={The reverb challenge: a common evaluation framework for dereverberation
and recognition of reverberant speech}, booktitle={ IEEE Workshop on Applications
of Signal Processing to Audio and Acoustics }, author={Kinoshita, Keisuke and
Delcroix, Marc and Yoshioka, Takuya and Nakatani, Tomohiro and Habets, Emanuel
and Haeb-Umbach, Reinhold and Leutnant, Volker and Sehr, Armin and Kellermann,
Walter and Maas, Roland and et al.}, year={2013}, pages={22–23} }'
chicago: 'Kinoshita, Keisuke, Marc Delcroix, Takuya Yoshioka, Tomohiro Nakatani,
Emanuel Habets, Reinhold Haeb-Umbach, Volker Leutnant, et al. “The Reverb Challenge:
A Common Evaluation Framework for Dereverberation and Recognition of Reverberant
Speech.” In IEEE Workshop on Applications of Signal Processing to Audio and
Acoustics , 22–23, 2013.'
ieee: 'K. Kinoshita et al., “The reverb challenge: a common evaluation framework
for dereverberation and recognition of reverberant speech,” in IEEE Workshop
on Applications of Signal Processing to Audio and Acoustics , 2013, pp. 22–23.'
mla: 'Kinoshita, Keisuke, et al. “The Reverb Challenge: A Common Evaluation Framework
for Dereverberation and Recognition of Reverberant Speech.” IEEE Workshop
on Applications of Signal Processing to Audio and Acoustics , 2013, pp. 22–23.'
short: 'K. Kinoshita, M. Delcroix, T. Yoshioka, T. Nakatani, E. Habets, R. Haeb-Umbach,
V. Leutnant, A. Sehr, W. Kellermann, R. Maas, S. Gannot, B. Raj, in: IEEE Workshop
on Applications of Signal Processing to Audio and Acoustics , 2013, pp. 22–23.'
date_created: 2019-07-12T05:29:17Z
date_updated: 2022-01-06T06:51:11Z
department:
- _id: '54'
keyword:
- Reverberant speech
- dereverberation
- ASR
- evaluation
- challenge
language:
- iso: eng
main_file_link:
- open_access: '1'
url: https://groups.uni-paderborn.de/nt/pubs/2013/Reverb2013.pdf
oa: '1'
page: ' 22-23 '
publication: ' IEEE Workshop on Applications of Signal Processing to Audio and Acoustics '
status: public
title: 'The reverb challenge: a common evaluation framework for dereverberation and
recognition of reverberant speech'
type: conference
user_id: '44006'
year: '2013'
...