---
_id: '4509'
author:
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Frank
full_name: Richter, Frank
last_name: Richter
- first_name: Rosanna
full_name: Diovisalvi, Rosanna
last_name: Diovisalvi
citation:
ama: 'Bunte A, Richter F, Diovisalvi R. Why it is Hard to Find AI in SMEs - A Survey
From the Practice and How to Promote it. In: International Conference on Agents
and Artificial Intelligence (ICAART). ; 2021.'
apa: Bunte, A., Richter, F., & Diovisalvi, R. (2021). Why it is Hard to Find
AI in SMEs - A Survey From the Practice and How to Promote it. In International
Conference on Agents and Artificial Intelligence (ICAART). Online Streaming.
bjps: Bunte A, Richter F and Diovisalvi R (2021) Why It Is Hard to Find AI
in SMEs - A Survey From the Practice and How to Promote It. International Conference
on Agents and Artificial Intelligence (ICAART).
chicago: Bunte, Andreas, Frank Richter, and Rosanna Diovisalvi. “Why It Is Hard
to Find AI in SMEs - A Survey From the Practice and How to Promote It.” In International
Conference on Agents and Artificial Intelligence (ICAART), 2021.
chicago-de: 'Bunte, Andreas, Frank Richter und Rosanna Diovisalvi. 2021. Why it
is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote it.
In: International Conference on Agents and Artificial Intelligence (ICAART).'
din1505-2-1: 'Bunte, Andreas ; Richter, Frank ; Diovisalvi,
Rosanna: Why it is Hard to Find AI in SMEs - A Survey From the Practice
and How to Promote it. In: International Conference on Agents and Artificial
Intelligence (ICAART), 2021'
havard: 'A. Bunte, F. Richter, R. Diovisalvi, Why it is Hard to Find AI in SMEs
- A Survey From the Practice and How to Promote it, in: International Conference
on Agents and Artificial Intelligence (ICAART), 2021.'
ieee: A. Bunte, F. Richter, and R. Diovisalvi, “Why it is Hard to Find AI in SMEs
- A Survey From the Practice and How to Promote it,” in International Conference
on Agents and Artificial Intelligence (ICAART), Online Streaming, 2021.
mla: Bunte, Andreas, et al. “Why It Is Hard to Find AI in SMEs - A Survey From the
Practice and How to Promote It.” International Conference on Agents and Artificial
Intelligence (ICAART), 2021.
short: 'A. Bunte, F. Richter, R. Diovisalvi, in: International Conference on Agents
and Artificial Intelligence (ICAART), 2021.'
ufg: 'Bunte, Andreas et. al. (2021): Why it is Hard to Find AI in SMEs -
A Survey From the Practice and How to Promote it, in: International Conference
on Agents and Artificial Intelligence (ICAART).'
van: 'Bunte A, Richter F, Diovisalvi R. Why it is Hard to Find AI in SMEs - A Survey
From the Practice and How to Promote it. In: International Conference on Agents
and Artificial Intelligence (ICAART). 2021.'
conference:
end_date: 2021-02-06
location: Online Streaming
name: 13th International Conference on Agents and Artificial Intelligence (ICAART)
start_date: 2021-02-04
date_created: 2021-01-26T09:41:15Z
date_updated: 2023-03-15T13:49:53Z
department:
- _id: DEP5023
language:
- iso: eng
publication: International Conference on Agents and Artificial Intelligence (ICAART)
status: public
title: Why it is Hard to Find AI in SMEs - A Survey From the Practice and How to Promote
it
type: conference
user_id: '68554'
year: 2021
...
---
_id: '12800'
abstract:
- lang: eng
text: his paper presents the cognitive module of the Cognitive Architecture for
Artificial Intelligence (CAAI) in cyber-physical production systems (CPPS). The
goal of this architecture is to reduce the implementation effort of artificial
intelligence (AI) algorithms in CPPS. Declarative user goals and the provided
algorithm-knowledge base allow the dynamic pipeline orchestration and configuration.
A big data platform (BDP) instantiates the pipelines and monitors the CPPS performance
for further evaluation through the cognitive module. Thus, the cognitive module
is able to select feasible and robust configurations for process pipelines in
varying use cases. Furthermore, it automatically adapts the models and algorithms
based on model quality and resource consumption. The cognitive module also instantiates
additional pipelines to evaluate algorithms from different classes on test functions.
CAAI relies on well-defined interfaces to enable the integration of additional
modules and reduce implementation effort. Finally, an implementation based on
Docker, Kubernetes, and Kafka for the virtualization and orchestration of the
individual modules and as messaging technology for module communication is used
to evaluate a real-world use case.
author:
- first_name: Jan
full_name: Strohschein, Jan
last_name: Strohschein
- first_name: Andreas
full_name: Fischbach, Andreas
last_name: Fischbach
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Heide
full_name: Faeskorn-Woyke, Heide
last_name: Faeskorn-Woyke
- first_name: Natalia
full_name: Moriz, Natalia
id: '44238'
last_name: Moriz
- first_name: Thomas
full_name: Bartz-Beielstein, Thomas
last_name: Bartz-Beielstein
citation:
ama: Strohschein J, Fischbach A, Bunte A, Faeskorn-Woyke H, Moriz N, Bartz-Beielstein
T. Cognitive capabilities for the CAAI in cyber-physical production systems. The
International Journal of Advanced Manufacturing Technology. 2021;115(11-12):3513-3532.
doi:10.1007/s00170-021-07248-3
apa: Strohschein, J., Fischbach, A., Bunte, A., Faeskorn-Woyke, H., Moriz, N., &
Bartz-Beielstein, T. (2021). Cognitive capabilities for the CAAI in cyber-physical
production systems. The International Journal of Advanced Manufacturing Technology,
115(11–12), 3513–3532. https://doi.org/10.1007/s00170-021-07248-3
bjps: Strohschein J et al. (2021) Cognitive Capabilities for the CAAI
in Cyber-Physical Production Systems. The International Journal of Advanced
Manufacturing Technology 115, 3513–3532.
chicago: 'Strohschein, Jan, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke,
Natalia Moriz, and Thomas Bartz-Beielstein. “Cognitive Capabilities for the CAAI
in Cyber-Physical Production Systems.” The International Journal of Advanced
Manufacturing Technology 115, no. 11–12 (2021): 3513–32. https://doi.org/10.1007/s00170-021-07248-3.'
chicago-de: 'Strohschein, Jan, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke,
Natalia Moriz und Thomas Bartz-Beielstein. 2021. Cognitive capabilities for the
CAAI in cyber-physical production systems. The International Journal of Advanced
Manufacturing Technology 115, Nr. 11–12: 3513–3532. doi:10.1007/s00170-021-07248-3,
.'
din1505-2-1: 'Strohschein, Jan ; Fischbach, Andreas ; Bunte,
Andreas ; Faeskorn-Woyke, Heide
; Moriz, Natalia ; Bartz-Beielstein,
Thomas: Cognitive capabilities for the CAAI in cyber-physical production
systems. In: The International Journal of Advanced Manufacturing Technology
Bd. 115. London [u.a.], Springer (2021), Nr. 11–12, S. 3513–3532'
havard: J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, T.
Bartz-Beielstein, Cognitive capabilities for the CAAI in cyber-physical production
systems, The International Journal of Advanced Manufacturing Technology. 115 (2021)
3513–3532.
ieee: 'J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, and
T. Bartz-Beielstein, “Cognitive capabilities for the CAAI in cyber-physical production
systems,” The International Journal of Advanced Manufacturing Technology,
vol. 115, no. 11–12, pp. 3513–3532, 2021, doi: 10.1007/s00170-021-07248-3.'
mla: Strohschein, Jan, et al. “Cognitive Capabilities for the CAAI in Cyber-Physical
Production Systems.” The International Journal of Advanced Manufacturing Technology,
vol. 115, no. 11–12, 2021, pp. 3513–32, https://doi.org/10.1007/s00170-021-07248-3.
short: J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, T. Bartz-Beielstein,
The International Journal of Advanced Manufacturing Technology 115 (2021) 3513–3532.
ufg: 'Strohschein, Jan u. a.: Cognitive capabilities for the CAAI in cyber-physical
production systems, in: The International Journal of Advanced Manufacturing
Technology 115 (2021), H. 11–12, S. 3513–3532.'
van: Strohschein J, Fischbach A, Bunte A, Faeskorn-Woyke H, Moriz N, Bartz-Beielstein
T. Cognitive capabilities for the CAAI in cyber-physical production systems. The
International Journal of Advanced Manufacturing Technology. 2021;115(11–12):3513–32.
date_created: 2025-04-15T13:05:17Z
date_updated: 2025-06-26T13:39:22Z
department:
- _id: DEP5023
doi: 10.1007/s00170-021-07248-3
external_id:
isi:
- '000659025000010'
intvolume: ' 115'
isi: '1'
issue: 11-12
keyword:
- Cognition
- Industry 40
- Big data platform
- Machine learning
- CPPS
- Optimization
- Algorithm selection
- Simulation
language:
- iso: eng
page: 3513-3532
place: London [u.a.]
publication: The International Journal of Advanced Manufacturing Technology
publication_identifier:
eissn:
- 1433-3015
issn:
- 0268-3768
publication_status: published
publisher: 'Springer '
status: public
title: Cognitive capabilities for the CAAI in cyber-physical production systems
type: scientific_journal_article
user_id: '83781'
volume: 115
year: '2021'
...
---
_id: '4512'
author:
- first_name: Christoph
full_name: Geng, Christoph
id: '61408'
last_name: Geng
- first_name: Natalia
full_name: Moriz, Natalia
id: '44238'
last_name: Moriz
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Henning
full_name: Trsek, Henning
id: '1486'
last_name: Trsek
citation:
ama: 'Geng C, Moriz N, Bunte A, Trsek H. Concept for Rule-Based Information Aggregation
in Modular Production Plants. In: KommA 2020 – Jahreskolloquium Kommunikation
in Der Automation. Lemgo, Germany; 2020.'
apa: Geng, C., Moriz, N., Bunte, A., & Trsek, H. (2020). Concept for Rule-Based
Information Aggregation in Modular Production Plants. In KommA 2020 – Jahreskolloquium
Kommunikation in der Automation. Lemgo, Germany.
bjps: Geng C et al. (2020) Concept for Rule-Based Information Aggregation
in Modular Production Plants. KommA 2020 – Jahreskolloquium Kommunikation in
Der Automation. Lemgo, Germany.
chicago: Geng, Christoph, Natalia Moriz, Andreas Bunte, and Henning Trsek. “Concept
for Rule-Based Information Aggregation in Modular Production Plants.” In KommA
2020 – Jahreskolloquium Kommunikation in Der Automation. Lemgo, Germany, 2020.
chicago-de: 'Geng, Christoph, Natalia Moriz, Andreas Bunte und Henning Trsek. 2020.
Concept for Rule-Based Information Aggregation in Modular Production Plants. In:
KommA 2020 – Jahreskolloquium Kommunikation in der Automation. Lemgo, Germany.'
din1505-2-1: 'Geng, Christoph ; Moriz, Natalia ; Bunte,
Andreas ; Trsek, Henning:
Concept for Rule-Based Information Aggregation in Modular Production Plants. In:
KommA 2020 – Jahreskolloquium Kommunikation in der Automation. Lemgo, Germany,
2020'
havard: 'C. Geng, N. Moriz, A. Bunte, H. Trsek, Concept for Rule-Based Information
Aggregation in Modular Production Plants, in: KommA 2020 – Jahreskolloquium Kommunikation
in Der Automation, Lemgo, Germany, 2020.'
ieee: C. Geng, N. Moriz, A. Bunte, and H. Trsek, “Concept for Rule-Based Information
Aggregation in Modular Production Plants,” in KommA 2020 – Jahreskolloquium
Kommunikation in der Automation, Lemgo, 2020.
mla: Geng, Christoph, et al. “Concept for Rule-Based Information Aggregation in
Modular Production Plants.” KommA 2020 – Jahreskolloquium Kommunikation in
Der Automation, 2020.
short: 'C. Geng, N. Moriz, A. Bunte, H. Trsek, in: KommA 2020 – Jahreskolloquium
Kommunikation in Der Automation, Lemgo, Germany, 2020.'
ufg: 'Geng, Christoph et. al. (2020): Concept for Rule-Based Information
Aggregation in Modular Production Plants, in: KommA 2020 – Jahreskolloquium
Kommunikation in der Automation, Lemgo, Germany.'
van: 'Geng C, Moriz N, Bunte A, Trsek H. Concept for Rule-Based Information Aggregation
in Modular Production Plants. In: KommA 2020 – Jahreskolloquium Kommunikation
in der Automation. Lemgo, Germany; 2020.'
conference:
end_date: 2020-10-29
location: Lemgo
name: 11. Jahreskolloquium KommA 2020
start_date: 2020-10-29
date_created: 2021-01-26T12:04:18Z
date_updated: 2023-03-15T13:49:53Z
department:
- _id: DEP5023
language:
- iso: eng
place: Lemgo, Germany
publication: KommA 2020 – Jahreskolloquium Kommunikation in der Automation
status: public
title: Concept for Rule-Based Information Aggregation in Modular Production Plants
type: conference
user_id: '68554'
year: 2020
...
---
_id: '4513'
author:
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Henrik
full_name: Ressler, Henrik
id: '62216'
last_name: Ressler
- first_name: Natalia
full_name: Moriz, Natalia
id: '44238'
last_name: Moriz
citation:
ama: 'Bunte A, Ressler H, Moriz N. Automated Detection of Production Cycles in Production
Plants using Machine Learning. In: 25th IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA) . Vienna, Austria; 2020.'
apa: Bunte, A., Ressler, H., & Moriz, N. (2020). Automated Detection of Production
Cycles in Production Plants using Machine Learning. In 25th IEEE International
Conference on Emerging Technologies and Factory Automation (ETFA) . Vienna,
Austria.
bjps: Bunte A, Ressler H and Moriz N (2020) Automated Detection of Production
Cycles in Production Plants Using Machine Learning. 25th IEEE International
Conference on Emerging Technologies and Factory Automation (ETFA) . Vienna,
Austria.
chicago: Bunte, Andreas, Henrik Ressler, and Natalia Moriz. “Automated Detection
of Production Cycles in Production Plants Using Machine Learning.” In 25th
IEEE International Conference on Emerging Technologies and Factory Automation
(ETFA) . Vienna, Austria, 2020.
chicago-de: 'Bunte, Andreas, Henrik Ressler und Natalia Moriz. 2020. Automated Detection
of Production Cycles in Production Plants using Machine Learning. In: 25th
IEEE International Conference on Emerging Technologies and Factory Automation
(ETFA) . Vienna, Austria.'
din1505-2-1: 'Bunte, Andreas ; Ressler, Henrik ; Moriz,
Natalia: Automated Detection of Production Cycles in Production Plants
using Machine Learning. In: 25th IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA) . Vienna, Austria, 2020'
havard: 'A. Bunte, H. Ressler, N. Moriz, Automated Detection of Production Cycles
in Production Plants using Machine Learning, in: 25th IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA) , Vienna, Austria, 2020.'
ieee: A. Bunte, H. Ressler, and N. Moriz, “Automated Detection of Production Cycles
in Production Plants using Machine Learning,” in 25th IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA) , Wien, 2020.
mla: Bunte, Andreas, et al. “Automated Detection of Production Cycles in Production
Plants Using Machine Learning.” 25th IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA) , 2020.
short: 'A. Bunte, H. Ressler, N. Moriz, in: 25th IEEE International Conference on
Emerging Technologies and Factory Automation (ETFA) , Vienna, Austria, 2020.'
ufg: 'Bunte, Andreas et. al. (2020): Automated Detection of Production Cycles
in Production Plants using Machine Learning, in: 25th IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA) , Vienna, Austria.'
van: 'Bunte A, Ressler H, Moriz N. Automated Detection of Production Cycles in Production
Plants using Machine Learning. In: 25th IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA) . Vienna, Austria; 2020.'
conference:
end_date: 2020-09-11
location: Wien
name: 25th IEEE International Conference on Emerging Technologies and Factory Automation
start_date: 2020-09-08
date_created: 2021-01-26T12:08:54Z
date_updated: 2023-03-15T13:49:53Z
department:
- _id: DEP5023
language:
- iso: eng
place: Vienna, Austria
publication: '25th IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA) '
status: public
title: Automated Detection of Production Cycles in Production Plants using Machine
Learning
type: conference
user_id: '68554'
year: 2020
...
---
_id: '4518'
abstract:
- lang: eng
text: This paper introduces CAAI, a novel cognitive architecture for artificial
intelligence in cyber-physical production systems. The goal of the architecture
is to reduce the implementation effort for the usage of artificial intelligence
algorithms. The core of the CAAI is a cognitive module that processes the user's
declarative goals, selects suitable models and algorithms, and creates a configuration
for the execution of a processing pipeline on a big data platform. Constant observation
and evaluation against performance criteria assess the performance of pipelines
for many and different use cases. Based on these evaluations, the pipelines are
automatically adapted if necessary. The modular design with well-defined interfaces
enables the reusability and extensibility of pipeline components. A big data platform
implements this modular design supported by technologies such as Docker, Kubernetes,
and Kafka for virtualization and orchestration of the individual components and
their communication. The implementation of the architecture is evaluated using
a real-world use case. The prototypic implementation is accessible on GitHub and
contains a demonstration.
author:
- first_name: Andreas
full_name: Fischbach, Andreas
last_name: Fischbach
- first_name: Jan
full_name: Strohschein, Jan
last_name: Strohschein
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Jörg
full_name: Stork, Jörg
last_name: Stork
- first_name: Heide
full_name: Faeskorn-Woyke, Heide
last_name: Faeskorn-Woyke
- first_name: Natalia
full_name: Moriz, Natalia
id: '44238'
last_name: Moriz
- first_name: Thomas
full_name: Bartz-Beielstein, Thomas
last_name: Bartz-Beielstein
citation:
ama: Fischbach A, Strohschein J, Bunte A, et al. CAAI -- A Cognitive Architecture
to Introduce Artificial Intelligence in Cyber-Physical Production Systems. The
International Journal of Advanced Manufacturing Technology. 2020;111(1/2):609-626.
doi:10.1007/s00170-020-06094-z
apa: Fischbach, A., Strohschein, J., Bunte, A., Stork, J., Faeskorn-Woyke, H., Moriz,
N., & Bartz-Beielstein, T. (2020). CAAI -- A Cognitive Architecture to Introduce
Artificial Intelligence in Cyber-Physical Production Systems. The International
Journal of Advanced Manufacturing Technology, 111(1/2), 609–626. https://doi.org/10.1007/s00170-020-06094-z
bjps: Fischbach A et al. (2020) CAAI -- A Cognitive Architecture to
Introduce Artificial Intelligence in Cyber-Physical Production Systems. The
International Journal of Advanced Manufacturing Technology 111, 609–626.
chicago: 'Fischbach, Andreas, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide
Faeskorn-Woyke, Natalia Moriz, and Thomas Bartz-Beielstein. “CAAI -- A Cognitive
Architecture to Introduce Artificial Intelligence in Cyber-Physical Production
Systems.” The International Journal of Advanced Manufacturing Technology
111, no. 1/2 (2020): 609–26. https://doi.org/10.1007/s00170-020-06094-z.'
chicago-de: 'Fischbach, Andreas, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide
Faeskorn-Woyke, Natalia Moriz und Thomas Bartz-Beielstein. 2020. CAAI -- A Cognitive
Architecture to Introduce Artificial Intelligence in Cyber-Physical Production
Systems. The International Journal of Advanced Manufacturing Technology
111, Nr. 1/2: 609–626. doi:10.1007/s00170-020-06094-z,
.'
din1505-2-1: 'Fischbach, Andreas ;
Strohschein, Jan ; Bunte,
Andreas ; Stork, Jörg ; Faeskorn-Woyke, Heide ; Moriz,
Natalia ; Bartz-Beielstein, Thomas:
CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical
Production Systems. In: The International Journal of Advanced Manufacturing
Technology Bd. 111, Springer (2020), Nr. 1/2, S. 609–626'
havard: A. Fischbach, J. Strohschein, A. Bunte, J. Stork, H. Faeskorn-Woyke, N.
Moriz, T. Bartz-Beielstein, CAAI -- A Cognitive Architecture to Introduce Artificial
Intelligence in Cyber-Physical Production Systems, The International Journal of
Advanced Manufacturing Technology. 111 (2020) 609–626.
ieee: 'A. Fischbach et al., “CAAI -- A Cognitive Architecture to Introduce
Artificial Intelligence in Cyber-Physical Production Systems,” The International
Journal of Advanced Manufacturing Technology, vol. 111, no. 1/2, pp. 609–626,
2020, doi: 10.1007/s00170-020-06094-z.'
mla: Fischbach, Andreas, et al. “CAAI -- A Cognitive Architecture to Introduce Artificial
Intelligence in Cyber-Physical Production Systems.” The International Journal
of Advanced Manufacturing Technology, vol. 111, no. 1/2, 2020, pp. 609–26,
https://doi.org/10.1007/s00170-020-06094-z.
short: A. Fischbach, J. Strohschein, A. Bunte, J. Stork, H. Faeskorn-Woyke, N. Moriz,
T. Bartz-Beielstein, The International Journal of Advanced Manufacturing Technology
111 (2020) 609–626.
ufg: 'Fischbach, Andreas u. a.: CAAI -- A Cognitive Architecture to Introduce
Artificial Intelligence in Cyber-Physical Production Systems, in: The International
Journal of Advanced Manufacturing Technology 111 (2020), H. 1/2, S. 609–626.'
van: Fischbach A, Strohschein J, Bunte A, Stork J, Faeskorn-Woyke H, Moriz N, et
al. CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical
Production Systems. The International Journal of Advanced Manufacturing Technology.
2020;111(1/2):609–26.
date_created: 2021-01-26T12:24:10Z
date_updated: 2025-06-26T13:38:24Z
department:
- _id: DEP5023
doi: 10.1007/s00170-020-06094-z
external_id:
isi:
- '000574389900002'
intvolume: ' 111'
isi: '1'
issue: 1/2
keyword:
- CPPS
- Artificial intelligence
- Industry 40
- Reference architecture
- Optimization
- SMBO
- Cognition
- Big data platform
- Modularization
- AutoML
language:
- iso: eng
page: 609-626
publication: The International Journal of Advanced Manufacturing Technology
publication_identifier:
eissn:
- 1433-3015
issn:
- 0268-3768
publication_status: published
publisher: Springer
status: public
title: CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical
Production Systems
type: journal_article
user_id: '83781'
volume: 111
year: '2020'
...
---
_id: '4786'
author:
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
- first_name: Gautam
full_name: Biswas, Gautam
last_name: Biswas
- first_name: John S.
full_name: Kinnebrew, John S.
last_name: Kinnebrew
- first_name: Hamed
full_name: Khorasgani, Hamed
last_name: Khorasgani
- first_name: Nemanja
full_name: Hranisavljevic, Nemanja
id: '62376'
last_name: Hranisavljevic
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
citation:
ama: 'Niggemann O, Biswas G, Kinnebrew JS, Khorasgani H, Hranisavljevic N, Bunte
A. Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion.
In: ten Hompel M, Vogel-Heuser B, Bauernhansl T, eds. Handbuch Industrie 4.0:
Produktion, Automatisierung und Logistik. Berlin: Springer; 2020:800.'
apa: 'Niggemann, O., Biswas, G., Kinnebrew, J. S., Khorasgani, H., Hranisavljevic,
N., & Bunte, A. (2020). Konzeptualisierung als Kernfrage des Maschinellen
Lernens in der Produktion. In M. ten Hompel, B. Vogel-Heuser, & T. Bauernhansl
(Eds.), Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik
(p. 800). Berlin: Springer.'
bjps: 'Niggemann O et al. (2020) Konzeptualisierung als Kernfrage
des Maschinellen Lernens in der Produktion. In ten Hompel M, Vogel-Heuser B and
Bauernhansl T (eds), Handbuch Industrie 4.0: Produktion, Automatisierung und
Logistik. Berlin: Springer, p. 800.'
chicago: 'Niggemann, Oliver, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani,
Nemanja Hranisavljevic, and Andreas Bunte. “Konzeptualisierung als Kernfrage des
Maschinellen Lernens in der Produktion.” In Handbuch Industrie 4.0: Produktion,
Automatisierung und Logistik, edited by Michael ten Hompel, Birgit Vogel-Heuser,
and Thomas Bauernhansl, 800. Berlin: Springer, 2020.'
chicago-de: 'Niggemann, Oliver, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani,
Nemanja Hranisavljevic und Andreas Bunte. 2020. Konzeptualisierung als Kernfrage
des Maschinellen Lernens in der Produktion. In: Handbuch Industrie 4.0: Produktion,
Automatisierung und Logistik, hg. von Michael ten Hompel, Birgit Vogel-Heuser,
und Thomas Bauernhansl, 800. Berlin: Springer.'
din1505-2-1: 'Niggemann, Oliver ;
Biswas, Gautam ; Kinnebrew,
John S. ; Khorasgani, Hamed
; Hranisavljevic, Nemanja ; Bunte, Andreas: Konzeptualisierung als
Kernfrage des Maschinellen Lernens in der Produktion. In: ten
Hompel, M. ; Vogel-Heuser, B.
; Bauernhansl, T. (Hrsg.): Handbuch
Industrie 4.0: Produktion, Automatisierung und Logistik. Berlin : Springer,
2020, S. 800'
havard: 'O. Niggemann, G. Biswas, J.S. Kinnebrew, H. Khorasgani, N. Hranisavljevic,
A. Bunte, Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion,
in: M. ten Hompel, B. Vogel-Heuser, T. Bauernhansl (Eds.), Handbuch Industrie
4.0: Produktion, Automatisierung und Logistik, Springer, Berlin, 2020: p. 800.'
ieee: 'O. Niggemann, G. Biswas, J. S. Kinnebrew, H. Khorasgani, N. Hranisavljevic,
and A. Bunte, “Konzeptualisierung als Kernfrage des Maschinellen Lernens in der
Produktion,” in Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik,
M. ten Hompel, B. Vogel-Heuser, and T. Bauernhansl, Eds. Berlin: Springer, 2020,
p. 800.'
mla: 'Niggemann, Oliver, et al. “Konzeptualisierung als Kernfrage des Maschinellen
Lernens in der Produktion.” Handbuch Industrie 4.0: Produktion, Automatisierung
und Logistik, edited by Michael ten Hompel et al., Springer, 2020, p. 800.'
short: 'O. Niggemann, G. Biswas, J.S. Kinnebrew, H. Khorasgani, N. Hranisavljevic,
A. Bunte, in: M. ten Hompel, B. Vogel-Heuser, T. Bauernhansl (Eds.), Handbuch
Industrie 4.0: Produktion, Automatisierung und Logistik, Springer, Berlin, 2020,
p. 800.'
ufg: 'Niggemann, Oliver et. al. (2020): Konzeptualisierung als Kernfrage
des Maschinellen Lernens in der Produktion, in: Michael ten Hompel et. al. (Hgg.):
Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik, Berlin,
S. 800.'
van: 'Niggemann O, Biswas G, Kinnebrew JS, Khorasgani H, Hranisavljevic N, Bunte
A. Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion.
In: ten Hompel M, Vogel-Heuser B, Bauernhansl T, editors. Handbuch Industrie 40:
Produktion, Automatisierung und Logistik. Berlin: Springer; 2020. p. 800.'
date_created: 2021-02-02T08:38:44Z
date_updated: 2023-03-15T13:49:55Z
department:
- _id: DEP5023
editor:
- first_name: Michael
full_name: ten Hompel, Michael
last_name: ten Hompel
- first_name: Birgit
full_name: Vogel-Heuser, Birgit
last_name: Vogel-Heuser
- first_name: Thomas
full_name: Bauernhansl, Thomas
last_name: Bauernhansl
language:
- iso: ger
page: '800'
place: Berlin
publication: 'Handbuch Industrie 4.0: Produktion, Automatisierung und Logistik'
publication_identifier:
isbn:
- 978-3-662-45537-1
publication_status: published
publisher: Springer
status: public
title: Konzeptualisierung als Kernfrage des Maschinellen Lernens in der Produktion
type: book_chapter
user_id: '74004'
year: 2020
...
---
_id: '4780'
author:
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Paul
full_name: Wunderlich, Paul
id: '52317'
last_name: Wunderlich
- first_name: Natalia
full_name: Moriz, Natalia
id: '44238'
last_name: Moriz
- first_name: Peng
full_name: Li, Peng
id: '58937'
last_name: Li
- first_name: Andre
full_name: Mankowski, Andre
id: '51482'
last_name: Mankowski
- first_name: Antje
full_name: Rogalla, Antje
id: '66617'
last_name: Rogalla
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
citation:
ama: 'Bunte A, Wunderlich P, Moriz N, et al. Why Symbolic AI is a Key Technology
for Self-Adaption in the Context of CPPS. In: 24nd IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain; 2019.'
apa: Bunte, A., Wunderlich, P., Moriz, N., Li, P., Mankowski, A., Rogalla, A., &
Niggemann, O. (2019). Why Symbolic AI is a Key Technology for Self-Adaption in
the Context of CPPS. In 24nd IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA). Zaragoza, Spain.
bjps: Bunte A et al. (2019) Why Symbolic AI Is a Key Technology for
Self-Adaption in the Context of CPPS. 24nd IEEE International Conference on
Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain.
chicago: Bunte, Andreas, Paul Wunderlich, Natalia Moriz, Peng Li, Andre Mankowski,
Antje Rogalla, and Oliver Niggemann. “Why Symbolic AI Is a Key Technology for
Self-Adaption in the Context of CPPS.” In 24nd IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain, 2019.
chicago-de: 'Bunte, Andreas, Paul Wunderlich, Natalia Moriz, Peng Li, Andre Mankowski,
Antje Rogalla und Oliver Niggemann. 2019. Why Symbolic AI is a Key Technology
for Self-Adaption in the Context of CPPS. In: 24nd IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA). Zaragoza, Spain.'
din1505-2-1: 'Bunte, Andreas ; Wunderlich, Paul ; Moriz,
Natalia ; Li, Peng ; Mankowski, Andre ; Rogalla,
Antje ; Niggemann, Oliver:
Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS.
In: 24nd IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA). Zaragoza, Spain, 2019'
havard: 'A. Bunte, P. Wunderlich, N. Moriz, P. Li, A. Mankowski, A. Rogalla, O.
Niggemann, Why Symbolic AI is a Key Technology for Self-Adaption in the Context
of CPPS, in: 24nd IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA), Zaragoza, Spain, 2019.'
ieee: A. Bunte et al., “Why Symbolic AI is a Key Technology for Self-Adaption
in the Context of CPPS,” in 24nd IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA), 2019.
mla: Bunte, Andreas, et al. “Why Symbolic AI Is a Key Technology for Self-Adaption
in the Context of CPPS.” 24nd IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA), 2019.
short: 'A. Bunte, P. Wunderlich, N. Moriz, P. Li, A. Mankowski, A. Rogalla, O. Niggemann,
in: 24nd IEEE International Conference on Emerging Technologies and Factory Automation
(ETFA), Zaragoza, Spain, 2019.'
ufg: 'Bunte, Andreas et. al. (2019): Why Symbolic AI is a Key Technology
for Self-Adaption in the Context of CPPS, in: 24nd IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA), Zaragoza, Spain.'
van: 'Bunte A, Wunderlich P, Moriz N, Li P, Mankowski A, Rogalla A, et al. Why Symbolic
AI is a Key Technology for Self-Adaption in the Context of CPPS. In: 24nd IEEE
International Conference on Emerging Technologies and Factory Automation (ETFA).
Zaragoza, Spain; 2019.'
date_created: 2021-02-02T08:08:34Z
date_updated: 2023-03-15T13:49:55Z
department:
- _id: DEP5023
language:
- iso: eng
place: Zaragoza, Spain
publication: 24nd IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA)
status: public
title: Why Symbolic AI is a Key Technology for Self-Adaption in the Context of CPPS
type: conference
user_id: '68554'
year: 2019
...
---
_id: '4781'
abstract:
- lang: eng
text: Cyber-physical production systems (CPPS) integrate physical and computational
resources due to increasingly available sensors and processing power. This enables
the usage of data, to create additional benefit, such as condition monitoring
or optimization. These capabilities can lead to cognition, such that the system
is able to adapt independently to changing circumstances by learning from additional
sensors information. Developing a reference architecture for the design of CPPS
and standardization of machines and software interfaces is crucial to enable compatibility
of data usage between different machine models and vendors. This paper analysis
existing reference architecture regarding their cognitive abilities, based on
requirements that are derived from three different use cases. The results from
the evaluation of the reference architectures, which include two instances that
stem from the field of cognitive science, reveal a gap in the applicability of
the architectures regarding the generalizability and the level of abstraction.
While reference architectures from the field of automation are suitable to address
use case specific requirements, and do not address the general requirements, especially
w.r.t. adaptability, the examples from the field of cognitive science are well
usable to reach a high level of adaption and cognition. It is desirable to merge
advantages of both classes of architectures to address challenges in the field
of CPPS in Industrie 4.0.
author:
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Andreas
full_name: Fischbach, Andreas
last_name: Fischbach
- first_name: Jan
full_name: Strohschein, Jan
last_name: Strohschein
- first_name: Thomas
full_name: Bartz-Beielstein, Thomas
last_name: Bartz-Beielstein
- first_name: Heide
full_name: Faeskorn-Woyke, Heide
last_name: Faeskorn-Woyke
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
citation:
ama: 'Bunte A, Fischbach A, Strohschein J, Bartz-Beielstein T, Faeskorn-Woyke H,
Niggemann O. Evaluation of Cognitive Architectures for Cyber-Physical Production
Systems. In: Institute of Electrical and Electronics Engineers, Universidad de
Zaragoza , eds. 24nd IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies
and Factory Automation-ETFA. IEEE; 2019:729-736. doi:10.1109/etfa.2019.8869038'
apa: Bunte, A., Fischbach, A., Strohschein, J., Bartz-Beielstein, T., Faeskorn-Woyke,
H., & Niggemann, O. (2019). Evaluation of Cognitive Architectures for Cyber-Physical
Production Systems. In Institute of Electrical and Electronics Engineers &
Universidad de Zaragoza (Eds.), 24nd IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA) (pp. 729–736). IEEE. https://doi.org/10.1109/etfa.2019.8869038
bjps: 'Bunte A et al. (2019) Evaluation of Cognitive Architectures
for Cyber-Physical Production Systems. In Institute of Electrical and Electronics
Engineers and Universidad de Zaragoza (eds), 24nd IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA). [Piscataway, NJ]:
IEEE, pp. 729–736.'
chicago: 'Bunte, Andreas, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein,
Heide Faeskorn-Woyke, and Oliver Niggemann. “Evaluation of Cognitive Architectures
for Cyber-Physical Production Systems.” In 24nd IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA), edited by Institute
of Electrical and Electronics Engineers and Universidad de Zaragoza , 729–36.
IEEE International Conference on Emerging Technologies and Factory Automation-ETFA.
[Piscataway, NJ]: IEEE, 2019. https://doi.org/10.1109/etfa.2019.8869038.'
chicago-de: 'Bunte, Andreas, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein,
Heide Faeskorn-Woyke und Oliver Niggemann. 2019. Evaluation of Cognitive Architectures
for Cyber-Physical Production Systems. In: 24nd IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA), hg. von Institute
of Electrical and Electronics Engineers und Universidad de Zaragoza , 729–736.
IEEE International Conference on Emerging Technologies and Factory Automation-ETFA.
[Piscataway, NJ]: IEEE. doi:10.1109/etfa.2019.8869038,
.'
din1505-2-1: 'Bunte, Andreas ; Fischbach, Andreas ; Strohschein,
Jan ; Bartz-Beielstein, Thomas
; Faeskorn-Woyke, Heide ; Niggemann, Oliver: Evaluation of Cognitive
Architectures for Cyber-Physical Production Systems. In: Institute
of Electrical and Electronics Engineers ; Universidad
de Zaragoza (Hrsg.): 24nd IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA), IEEE International Conference
on Emerging Technologies and Factory Automation-ETFA. [Piscataway, NJ] : IEEE,
2019, S. 729–736'
havard: 'A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke,
O. Niggemann, Evaluation of Cognitive Architectures for Cyber-Physical Production
Systems, in: Institute of Electrical and Electronics Engineers, Universidad de
Zaragoza (Eds.), 24nd IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA), IEEE, [Piscataway, NJ], 2019: pp. 729–736.'
ieee: 'A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke,
and O. Niggemann, “Evaluation of Cognitive Architectures for Cyber-Physical Production
Systems,” in 24nd IEEE International Conference on Emerging Technologies and
Factory Automation (ETFA), Zaragoza, SPAIN, 2019, pp. 729–736. doi: 10.1109/etfa.2019.8869038.'
mla: Bunte, Andreas, et al. “Evaluation of Cognitive Architectures for Cyber-Physical
Production Systems.” 24nd IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA), edited by Institute of Electrical and Electronics
Engineers and Universidad de Zaragoza , IEEE, 2019, pp. 729–36, https://doi.org/10.1109/etfa.2019.8869038.
short: 'A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke,
O. Niggemann, in: Institute of Electrical and Electronics Engineers, Universidad
de Zaragoza (Eds.), 24nd IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA), IEEE, [Piscataway, NJ], 2019, pp. 729–736.'
ufg: 'Bunte, Andreas u. a.: Evaluation of Cognitive Architectures for Cyber-Physical
Production Systems, in: Institute of Electrical and Electronics Engineers,
Universidad de Zaragoza (Hgg.): 24nd IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA), [Piscataway, NJ] 2019 (IEEE International
Conference on Emerging Technologies and Factory Automation-ETFA), S. 729–736.'
van: 'Bunte A, Fischbach A, Strohschein J, Bartz-Beielstein T, Faeskorn-Woyke H,
Niggemann O. Evaluation of Cognitive Architectures for Cyber-Physical Production
Systems. In: Institute of Electrical and Electronics Engineers, Universidad de
Zaragoza , editors. 24nd IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA). [Piscataway, NJ]: IEEE; 2019. p. 729–36. (IEEE
International Conference on Emerging Technologies and Factory Automation-ETFA).'
conference:
end_date: 2019-09-13
location: Zaragoza, SPAIN
name: 24th IEEE International Conference on Emerging Technologies and Factory Automation
(ETFA)
start_date: 2019-09-10
corporate_editor:
- Institute of Electrical and Electronics Engineers
- 'Universidad de Zaragoza '
date_created: 2021-02-02T08:10:37Z
date_updated: 2025-06-26T13:32:54Z
department:
- _id: DEP5023
doi: 10.1109/etfa.2019.8869038
keyword:
- Reference Architecture
- Cognition
- Industrie 4.0
language:
- iso: eng
page: 729-736
place: '[Piscataway, NJ]'
publication: 24nd IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA)
publication_identifier:
eissn:
- 1946-0759
isbn:
- 978-1-7281-0303-7
issn:
- 1946-0740
publication_status: published
publisher: IEEE
series_title: IEEE International Conference on Emerging Technologies and Factory Automation-ETFA
status: public
title: Evaluation of Cognitive Architectures for Cyber-Physical Production Systems
type: conference
user_id: '83781'
year: '2019'
...
---
_id: '4784'
author:
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Andreas
full_name: Fischbach, Andreas
last_name: Fischbach
- first_name: Jan
full_name: Strohschein, Jan
last_name: Strohschein
- first_name: Thomas
full_name: Bartz-Beielstein, Thomas
last_name: Bartz-Beielstein
- first_name: Heide
full_name: Faeskorn-Woyke, Heide
last_name: Faeskorn-Woyke
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
citation:
ama: Bunte A, Fischbach A, Strohschein J, Bartz-Beielstein T, Faeskorn-Woyke H,
Niggemann O. Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems.
arXiv e-prints. 2019.
apa: Bunte, A., Fischbach, A., Strohschein, J., Bartz-Beielstein, T., Faeskorn-Woyke,
H., & Niggemann, O. (2019). Evaluation of Cognitive Architectures for Cyber-Physical
ProductionSystems. ArXiv E-Prints.
bjps: Bunte A et al. (2019) Evaluation of Cognitive Architectures
for Cyber-Physical ProductionSystems. arXiv e-prints.
chicago: Bunte, Andreas, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein,
Heide Faeskorn-Woyke, and Oliver Niggemann. “Evaluation of Cognitive Architectures
for Cyber-Physical ProductionSystems.” ArXiv E-Prints, 2019.
chicago-de: Bunte, Andreas, Andreas Fischbach, Jan Strohschein, Thomas Bartz-Beielstein,
Heide Faeskorn-Woyke und Oliver Niggemann. 2019. Evaluation of Cognitive Architectures
for Cyber-Physical ProductionSystems. arXiv e-prints.
din1505-2-1: 'Bunte, Andreas ; Fischbach, Andreas ; Strohschein,
Jan ; Bartz-Beielstein, Thomas
; Faeskorn-Woyke, Heide ; Niggemann, Oliver: Evaluation of Cognitive
Architectures for Cyber-Physical ProductionSystems. In: arXiv e-prints
(2019)'
havard: A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke,
O. Niggemann, Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems,
ArXiv E-Prints. (2019).
ieee: A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke,
and O. Niggemann, “Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems,”
arXiv e-prints, 2019.
mla: Bunte, Andreas, et al. “Evaluation of Cognitive Architectures for Cyber-Physical
ProductionSystems.” ArXiv E-Prints, 2019.
short: A. Bunte, A. Fischbach, J. Strohschein, T. Bartz-Beielstein, H. Faeskorn-Woyke,
O. Niggemann, ArXiv E-Prints (2019).
ufg: 'Bunte, Andreas et. al. (2019): Evaluation of Cognitive Architectures
for Cyber-Physical ProductionSystems, in: arXiv e-prints.'
van: Bunte A, Fischbach A, Strohschein J, Bartz-Beielstein T, Faeskorn-Woyke H,
Niggemann O. Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems.
arXiv e-prints. 2019;
date_created: 2021-02-02T08:16:16Z
date_updated: 2023-03-15T13:49:55Z
department:
- _id: DEP5023
language:
- iso: eng
publication: arXiv e-prints
status: public
title: Evaluation of Cognitive Architectures for Cyber-Physical ProductionSystems
type: journal_article
user_id: '68554'
year: 2019
...
---
_id: '4785'
author:
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
citation:
ama: 'Bunte A, Stein B, Niggemann O. Model-Based Diagnosis for Cyber-Physical Production
Systems Based on Machine Learning and Residual-Based Diagnosis Models. In: Hawaii,
USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19); 2019.'
apa: 'Bunte, A., Stein, B., & Niggemann, O. (2019). Model-Based Diagnosis for
Cyber-Physical Production Systems Based on Machine Learning and Residual-Based
Diagnosis Models. Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence
(AAAI-19).'
bjps: 'Bunte A, Stein B and Niggemann O (2019) Model-Based Diagnosis for
Cyber-Physical Production Systems Based on Machine Learning and Residual-Based
Diagnosis Models. Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence
(AAAI-19).'
chicago: 'Bunte, Andreas, Benno Stein, and Oliver Niggemann. “Model-Based Diagnosis
for Cyber-Physical Production Systems Based on Machine Learning and Residual-Based
Diagnosis Models.” Hawaii, USA: Thirty-Third AAAI Conference on Artificial Intelligence
(AAAI-19), 2019.'
chicago-de: 'Bunte, Andreas, Benno Stein und Oliver Niggemann. 2019. Model-Based
Diagnosis for Cyber-Physical Production Systems Based on Machine Learning and
Residual-Based Diagnosis Models. In: . Hawaii, USA: Thirty-Third AAAI Conference
on Artificial Intelligence (AAAI-19).'
din1505-2-1: 'Bunte, Andreas ; Stein, Benno ; Niggemann,
Oliver: Model-Based Diagnosis for Cyber-Physical Production Systems Based
on Machine Learning and Residual-Based Diagnosis Models. In: . Hawaii, USA : Thirty-Third
AAAI Conference on Artificial Intelligence (AAAI-19), 2019'
havard: 'A. Bunte, B. Stein, O. Niggemann, Model-Based Diagnosis for Cyber-Physical
Production Systems Based on Machine Learning and Residual-Based Diagnosis Models,
in: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), Hawaii,
USA, 2019.'
ieee: A. Bunte, B. Stein, and O. Niggemann, “Model-Based Diagnosis for Cyber-Physical
Production Systems Based on Machine Learning and Residual-Based Diagnosis Models,”
2019.
mla: Bunte, Andreas, et al. Model-Based Diagnosis for Cyber-Physical Production
Systems Based on Machine Learning and Residual-Based Diagnosis Models. Thirty-Third
AAAI Conference on Artificial Intelligence (AAAI-19), 2019.
short: 'A. Bunte, B. Stein, O. Niggemann, in: Thirty-Third AAAI Conference on Artificial
Intelligence (AAAI-19), Hawaii, USA, 2019.'
ufg: 'Bunte, Andreas et. al. (2019): Model-Based Diagnosis for Cyber-Physical
Production Systems Based on Machine Learning and Residual-Based Diagnosis Models,
in: , Hawaii, USA.'
van: 'Bunte A, Stein B, Niggemann O. Model-Based Diagnosis for Cyber-Physical Production
Systems Based on Machine Learning and Residual-Based Diagnosis Models. In Hawaii,
USA: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19); 2019.'
date_created: 2021-02-02T08:18:13Z
date_updated: 2023-03-15T13:49:55Z
department:
- _id: DEP5023
language:
- iso: eng
place: Hawaii, USA
publisher: Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)
status: public
title: Model-Based Diagnosis for Cyber-Physical Production Systems Based on Machine
Learning and Residual-Based Diagnosis Models
type: conference
user_id: '68554'
year: 2019
...
---
_id: '4787'
author:
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Bunte A, Niggemann O, Stein B. Integrating OWL Ontologies for Smart Services
into AutomationML and OPC UA. In: 23th IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA). ; 2018.'
apa: Bunte, A., Niggemann, O., & Stein, B. (2018). Integrating OWL Ontologies
for Smart Services into AutomationML and OPC UA. In 23th IEEE International
Conference on Emerging Technologies and Factory Automation (ETFA).
bjps: Bunte A, Niggemann O and Stein B (2018) Integrating OWL Ontologies
for Smart Services into AutomationML and OPC UA. 23th IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA).
chicago: Bunte, Andreas, Oliver Niggemann, and Benno Stein. “Integrating OWL Ontologies
for Smart Services into AutomationML and OPC UA.” In 23th IEEE International
Conference on Emerging Technologies and Factory Automation (ETFA), 2018.
chicago-de: 'Bunte, Andreas, Oliver Niggemann und Benno Stein. 2018. Integrating
OWL Ontologies for Smart Services into AutomationML and OPC UA. In: 23th IEEE
International Conference on Emerging Technologies and Factory Automation (ETFA).'
din1505-2-1: 'Bunte, Andreas ; Niggemann, Oliver ; Stein,
Benno: Integrating OWL Ontologies for Smart Services into AutomationML
and OPC UA. In: 23th IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA), 2018'
havard: 'A. Bunte, O. Niggemann, B. Stein, Integrating OWL Ontologies for Smart
Services into AutomationML and OPC UA, in: 23th IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA), 2018.'
ieee: A. Bunte, O. Niggemann, and B. Stein, “Integrating OWL Ontologies for Smart
Services into AutomationML and OPC UA,” in 23th IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA), 2018.
mla: Bunte, Andreas, et al. “Integrating OWL Ontologies for Smart Services into
AutomationML and OPC UA.” 23th IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA), 2018.
short: 'A. Bunte, O. Niggemann, B. Stein, in: 23th IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA), 2018.'
ufg: 'Bunte, Andreas et. al. (2018): Integrating OWL Ontologies for Smart
Services into AutomationML and OPC UA, in: 23th IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA).'
van: 'Bunte A, Niggemann O, Stein B. Integrating OWL Ontologies for Smart Services
into AutomationML and OPC UA. In: 23th IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA). 2018.'
date_created: 2021-02-02T08:22:28Z
date_updated: 2023-03-15T13:49:55Z
department:
- _id: DEP5023
language:
- iso: eng
publication: 23th IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA)
status: public
title: Integrating OWL Ontologies for Smart Services into AutomationML and OPC UA
type: conference
user_id: '68554'
year: 2018
...
---
_id: '4788'
author:
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Peng
full_name: Li, Peng
id: '58937'
last_name: Li
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
citation:
ama: 'Bunte A, Li P, Niggemann O. Mapping Data Sets to Concepts Using Machine Learning
and a Knowledge Based Approach. In: International Conference on Agents and
Artificial Intelligence (ICAART). Madeira, Portugal: SCITEPRESS; 2018.'
apa: 'Bunte, A., Li, P., & Niggemann, O. (2018). Mapping Data Sets to Concepts
Using Machine Learning and a Knowledge Based Approach. In International Conference
on Agents and Artificial Intelligence (ICAART). Madeira, Portugal: SCITEPRESS.'
bjps: 'Bunte A, Li P and Niggemann O (2018) Mapping Data Sets to Concepts
Using Machine Learning and a Knowledge Based Approach. International Conference
on Agents and Artificial Intelligence (ICAART). Madeira, Portugal: SCITEPRESS.'
chicago: 'Bunte, Andreas, Peng Li, and Oliver Niggemann. “Mapping Data Sets to Concepts
Using Machine Learning and a Knowledge Based Approach.” In International Conference
on Agents and Artificial Intelligence (ICAART). Madeira, Portugal: SCITEPRESS,
2018.'
chicago-de: 'Bunte, Andreas, Peng Li und Oliver Niggemann. 2018. Mapping Data Sets
to Concepts Using Machine Learning and a Knowledge Based Approach. In: International
Conference on Agents and Artificial Intelligence (ICAART). Madeira, Portugal:
SCITEPRESS.'
din1505-2-1: 'Bunte, Andreas ; Li, Peng ; Niggemann,
Oliver: Mapping Data Sets to Concepts Using Machine Learning and a Knowledge
Based Approach. In: International Conference on Agents and Artificial Intelligence
(ICAART). Madeira, Portugal : SCITEPRESS, 2018'
havard: 'A. Bunte, P. Li, O. Niggemann, Mapping Data Sets to Concepts Using Machine
Learning and a Knowledge Based Approach, in: International Conference on Agents
and Artificial Intelligence (ICAART), SCITEPRESS, Madeira, Portugal, 2018.'
ieee: A. Bunte, P. Li, and O. Niggemann, “Mapping Data Sets to Concepts Using Machine
Learning and a Knowledge Based Approach,” in International Conference on Agents
and Artificial Intelligence (ICAART), 2018.
mla: Bunte, Andreas, et al. “Mapping Data Sets to Concepts Using Machine Learning
and a Knowledge Based Approach.” International Conference on Agents and Artificial
Intelligence (ICAART), SCITEPRESS, 2018.
short: 'A. Bunte, P. Li, O. Niggemann, in: International Conference on Agents and
Artificial Intelligence (ICAART), SCITEPRESS, Madeira, Portugal, 2018.'
ufg: 'Bunte, Andreas et. al. (2018): Mapping Data Sets to Concepts Using
Machine Learning and a Knowledge Based Approach, in: International Conference
on Agents and Artificial Intelligence (ICAART), Madeira, Portugal.'
van: 'Bunte A, Li P, Niggemann O. Mapping Data Sets to Concepts Using Machine Learning
and a Knowledge Based Approach. In: International Conference on Agents and Artificial
Intelligence (ICAART). Madeira, Portugal: SCITEPRESS; 2018.'
date_created: 2021-02-02T08:23:30Z
date_updated: 2023-03-15T13:49:55Z
department:
- _id: DEP5023
language:
- iso: eng
place: Madeira, Portugal
publication: International Conference on Agents and Artificial Intelligence (ICAART)
publisher: SCITEPRESS
status: public
title: Mapping Data Sets to Concepts Using Machine Learning and a Knowledge Based
Approach
type: conference
user_id: '68554'
year: 2018
...
---
_id: '4789'
author:
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Peng
full_name: Li, Peng
id: '58937'
last_name: Li
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
citation:
ama: 'Bunte A, Li P, Niggemann O. Learned Abstraction: Knowledge Based Concept Learning
for Cyber Physical Systems. In: 3rd Conference on Machine Learning for Cyber
Physical Systems and Industry 4.0 (ML4CPS). ; 2017.'
apa: 'Bunte, A., Li, P., & Niggemann, O. (2017). Learned Abstraction: Knowledge
Based Concept Learning for Cyber Physical Systems. In 3rd Conference on Machine
Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS).'
bjps: 'Bunte A, Li P and Niggemann O (2017) Learned Abstraction: Knowledge
Based Concept Learning for Cyber Physical Systems. 3rd Conference on Machine
Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS).'
chicago: 'Bunte, Andreas, Peng Li, and Oliver Niggemann. “Learned Abstraction: Knowledge
Based Concept Learning for Cyber Physical Systems.” In 3rd Conference on Machine
Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), 2017.'
chicago-de: 'Bunte, Andreas, Peng Li und Oliver Niggemann. 2017. Learned Abstraction:
Knowledge Based Concept Learning for Cyber Physical Systems. In: 3rd Conference
on Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS).'
din1505-2-1: 'Bunte, Andreas ; Li, Peng ; Niggemann,
Oliver: Learned Abstraction: Knowledge Based Concept Learning for Cyber
Physical Systems. In: 3rd Conference on Machine Learning for Cyber Physical
Systems and Industry 4.0 (ML4CPS), 2017'
havard: 'A. Bunte, P. Li, O. Niggemann, Learned Abstraction: Knowledge Based Concept
Learning for Cyber Physical Systems, in: 3rd Conference on Machine Learning for
Cyber Physical Systems and Industry 4.0 (ML4CPS), 2017.'
ieee: 'A. Bunte, P. Li, and O. Niggemann, “Learned Abstraction: Knowledge Based
Concept Learning for Cyber Physical Systems,” in 3rd Conference on Machine
Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS), 2017.'
mla: 'Bunte, Andreas, et al. “Learned Abstraction: Knowledge Based Concept Learning
for Cyber Physical Systems.” 3rd Conference on Machine Learning for Cyber Physical
Systems and Industry 4.0 (ML4CPS), 2017.'
short: 'A. Bunte, P. Li, O. Niggemann, in: 3rd Conference on Machine Learning for
Cyber Physical Systems and Industry 4.0 (ML4CPS), 2017.'
ufg: 'Bunte, Andreas et. al. (2017): Learned Abstraction: Knowledge Based
Concept Learning for Cyber Physical Systems, in: 3rd Conference on Machine
Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS).'
van: 'Bunte A, Li P, Niggemann O. Learned Abstraction: Knowledge Based Concept Learning
for Cyber Physical Systems. In: 3rd Conference on Machine Learning for Cyber Physical
Systems and Industry 40 (ML4CPS). 2017.'
date_created: 2021-02-02T08:24:27Z
date_updated: 2023-03-15T13:49:55Z
department:
- _id: DEP5023
language:
- iso: eng
publication: 3rd Conference on Machine Learning for Cyber Physical Systems and Industry
4.0 (ML4CPS)
status: public
title: 'Learned Abstraction: Knowledge Based Concept Learning for Cyber Physical Systems'
type: conference
user_id: '68554'
year: 2017
...
---
_id: '4782'
abstract:
- lang: ger
text: "Die zunehmende Individualisierung von Produkten stellt neue Anforderun-\r\ngen
an Produktionsanlagen, wodurch deren Komplexit¨at steigt. Damit komplexe An-\r\nlagen
effizient bedient werden k¨onnen, vor allem im Fall eines Fehlers, sind neue Inter-\r\naktionskonzepte
erforderlich. In dieser Arbeit wurde ein Konzept f¨ur die Sprachverar-\r\nbeitung
entworfen und prototypisch implementiert. Zus¨atzlich zur Sprachverarbeitung\r\nist
eine semantische Schicht notwendig um eine Steuerung ¨uber Sprache zu realisieren"
author:
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Alexander
full_name: Diedrich, Alexander
last_name: Diedrich
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
citation:
ama: 'Bunte A, Diedrich A, Niggemann O. Natürlichsprachliche Schnittstelle für Produktionssysteme.
In: Tagungsband Des Entwicklerforums “HMI – Komponenten Lösungen.” München:
HMI; 2016.'
apa: 'Bunte, A., Diedrich, A., & Niggemann, O. (2016). Natürlichsprachliche
Schnittstelle für Produktionssysteme. In Tagungsband des Entwicklerforums “HMI
– Komponenten Lösungen.” München: HMI.'
bjps: 'Bunte A, Diedrich A and Niggemann O (2016) Natürlichsprachliche Schnittstelle
Für Produktionssysteme. Tagungsband Des Entwicklerforums ‘HMI – Komponenten
Lösungen’. München: HMI.'
chicago: 'Bunte, Andreas, Alexander Diedrich, and Oliver Niggemann. “Natürlichsprachliche
Schnittstelle Für Produktionssysteme.” In Tagungsband Des Entwicklerforums
“HMI – Komponenten Lösungen.” München: HMI, 2016.'
chicago-de: 'Bunte, Andreas, Alexander Diedrich und Oliver Niggemann. 2016. Natürlichsprachliche
Schnittstelle für Produktionssysteme. In: Tagungsband des Entwicklerforums
„HMI – Komponenten Lösungen“. München: HMI.'
din1505-2-1: 'Bunte, Andreas ; Diedrich, Alexander ; Niggemann,
Oliver: Natürlichsprachliche Schnittstelle für Produktionssysteme. In:
Tagungsband des Entwicklerforums „HMI – Komponenten Lösungen“. München :
HMI, 2016'
havard: 'A. Bunte, A. Diedrich, O. Niggemann, Natürlichsprachliche Schnittstelle
für Produktionssysteme, in: Tagungsband Des Entwicklerforums “HMI – Komponenten
Lösungen,” HMI, München, 2016.'
ieee: A. Bunte, A. Diedrich, and O. Niggemann, “Natürlichsprachliche Schnittstelle
für Produktionssysteme,” in Tagungsband des Entwicklerforums “HMI – Komponenten
Lösungen,” 2016.
mla: Bunte, Andreas, et al. “Natürlichsprachliche Schnittstelle Für Produktionssysteme.”
Tagungsband Des Entwicklerforums “HMI – Komponenten Lösungen,” HMI, 2016.
short: 'A. Bunte, A. Diedrich, O. Niggemann, in: Tagungsband Des Entwicklerforums
“HMI – Komponenten Lösungen,” HMI, München, 2016.'
ufg: 'Bunte, Andreas et. al. (2016): Natürlichsprachliche Schnittstelle für
Produktionssysteme, in: Tagungsband des Entwicklerforums „HMI – Komponenten
Lösungen“, München.'
van: 'Bunte A, Diedrich A, Niggemann O. Natürlichsprachliche Schnittstelle für Produktionssysteme.
In: Tagungsband des Entwicklerforums “HMI – Komponenten Lösungen.” München: HMI;
2016.'
date_created: 2021-02-02T08:11:42Z
date_updated: 2023-03-15T13:49:55Z
department:
- _id: DEP5023
language:
- iso: eng
main_file_link:
- url: https://www.researchgate.net/publication/304525199_Naturlichsprachliche_Schnittstelle_fur_Produktionssysteme
place: München
publication: Tagungsband des Entwicklerforums "HMI – Komponenten Lösungen"
publisher: HMI
status: public
title: Natürlichsprachliche Schnittstelle für Produktionssysteme
type: conference
user_id: '68554'
year: 2016
...
---
_id: '4790'
author:
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Alexander
full_name: Diedrich, Alexander
last_name: Diedrich
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
citation:
ama: 'Bunte A, Diedrich A, Niggemann O. Semantics Enable Standardized User Interfaces
for Diagnosis in Modular Production Systems. In: International Workshop on
the Principles of Diagnosis (DX). Denver, CO, USA; 2016.'
apa: Bunte, A., Diedrich, A., & Niggemann, O. (2016). Semantics Enable Standardized
User Interfaces for Diagnosis in Modular Production Systems. In International
Workshop on the Principles of Diagnosis (DX). Denver, CO, USA.
bjps: Bunte A, Diedrich A and Niggemann O (2016) Semantics Enable Standardized
User Interfaces for Diagnosis in Modular Production Systems. International
Workshop on the Principles of Diagnosis (DX). Denver, CO, USA.
chicago: Bunte, Andreas, Alexander Diedrich, and Oliver Niggemann. “Semantics Enable
Standardized User Interfaces for Diagnosis in Modular Production Systems.” In
International Workshop on the Principles of Diagnosis (DX). Denver, CO,
USA, 2016.
chicago-de: 'Bunte, Andreas, Alexander Diedrich und Oliver Niggemann. 2016. Semantics
Enable Standardized User Interfaces for Diagnosis in Modular Production Systems.
In: International Workshop on the Principles of Diagnosis (DX). Denver,
CO, USA.'
din1505-2-1: 'Bunte, Andreas ; Diedrich, Alexander ; Niggemann,
Oliver: Semantics Enable Standardized User Interfaces for Diagnosis in
Modular Production Systems. In: International Workshop on the Principles of
Diagnosis (DX). Denver, CO, USA, 2016'
havard: 'A. Bunte, A. Diedrich, O. Niggemann, Semantics Enable Standardized User
Interfaces for Diagnosis in Modular Production Systems, in: International Workshop
on the Principles of Diagnosis (DX), Denver, CO, USA, 2016.'
ieee: A. Bunte, A. Diedrich, and O. Niggemann, “Semantics Enable Standardized User
Interfaces for Diagnosis in Modular Production Systems,” in International Workshop
on the Principles of Diagnosis (DX), 2016.
mla: Bunte, Andreas, et al. “Semantics Enable Standardized User Interfaces for Diagnosis
in Modular Production Systems.” International Workshop on the Principles of
Diagnosis (DX), 2016.
short: 'A. Bunte, A. Diedrich, O. Niggemann, in: International Workshop on the Principles
of Diagnosis (DX), Denver, CO, USA, 2016.'
ufg: 'Bunte, Andreas et. al. (2016): Semantics Enable Standardized User Interfaces
for Diagnosis in Modular Production Systems, in: International Workshop on
the Principles of Diagnosis (DX), Denver, CO, USA.'
van: 'Bunte A, Diedrich A, Niggemann O. Semantics Enable Standardized User Interfaces
for Diagnosis in Modular Production Systems. In: International Workshop on the
Principles of Diagnosis (DX). Denver, CO, USA; 2016.'
date_created: 2021-02-02T08:25:27Z
date_updated: 2023-03-15T13:49:55Z
department:
- _id: DEP5023
language:
- iso: eng
place: Denver, CO, USA
publication: International Workshop on the Principles of Diagnosis (DX)
status: public
title: Semantics Enable Standardized User Interfaces for Diagnosis in Modular Production
Systems
type: conference
user_id: '68554'
year: 2016
...
---
_id: '4791'
author:
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Alexander
full_name: Diedrich, Alexander
last_name: Diedrich
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
citation:
ama: 'Bunte A, Diedrich A, Niggemann O. Integrating Semantics for Diagnosis of Manufacturing
Systems. In: 21th IEEE International Conference on Emerging Technologies and
Factory Automation (ETFA). Berlin; 2016.'
apa: Bunte, A., Diedrich, A., & Niggemann, O. (2016). Integrating Semantics
for Diagnosis of Manufacturing Systems. In 21th IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA). Berlin.
bjps: Bunte A, Diedrich A and Niggemann O (2016) Integrating Semantics for
Diagnosis of Manufacturing Systems. 21th IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA). Berlin.
chicago: Bunte, Andreas, Alexander Diedrich, and Oliver Niggemann. “Integrating
Semantics for Diagnosis of Manufacturing Systems.” In 21th IEEE International
Conference on Emerging Technologies and Factory Automation (ETFA). Berlin,
2016.
chicago-de: 'Bunte, Andreas, Alexander Diedrich und Oliver Niggemann. 2016. Integrating
Semantics for Diagnosis of Manufacturing Systems. In: 21th IEEE International
Conference on Emerging Technologies and Factory Automation (ETFA). Berlin.'
din1505-2-1: 'Bunte, Andreas ; Diedrich, Alexander ; Niggemann,
Oliver: Integrating Semantics for Diagnosis of Manufacturing Systems. In:
21th IEEE International Conference on Emerging Technologies and Factory Automation
(ETFA). Berlin, 2016'
havard: 'A. Bunte, A. Diedrich, O. Niggemann, Integrating Semantics for Diagnosis
of Manufacturing Systems, in: 21th IEEE International Conference on Emerging Technologies
and Factory Automation (ETFA), Berlin, 2016.'
ieee: A. Bunte, A. Diedrich, and O. Niggemann, “Integrating Semantics for Diagnosis
of Manufacturing Systems,” in 21th IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA), 2016.
mla: Bunte, Andreas, et al. “Integrating Semantics for Diagnosis of Manufacturing
Systems.” 21th IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA), 2016.
short: 'A. Bunte, A. Diedrich, O. Niggemann, in: 21th IEEE International Conference
on Emerging Technologies and Factory Automation (ETFA), Berlin, 2016.'
ufg: 'Bunte, Andreas et. al. (2016): Integrating Semantics for Diagnosis
of Manufacturing Systems, in: 21th IEEE International Conference on Emerging
Technologies and Factory Automation (ETFA), Berlin.'
van: 'Bunte A, Diedrich A, Niggemann O. Integrating Semantics for Diagnosis of Manufacturing
Systems. In: 21th IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA). Berlin; 2016.'
date_created: 2021-02-02T08:26:21Z
date_updated: 2023-03-15T13:49:55Z
department:
- _id: DEP5023
language:
- iso: eng
place: Berlin
publication: 21th IEEE International Conference on Emerging Technologies and Factory
Automation (ETFA)
status: public
title: Integrating Semantics for Diagnosis of Manufacturing Systems
type: conference
user_id: '68554'
year: 2016
...
---
_id: '4792'
author:
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
- first_name: Gautam
full_name: Biswas, Gautam
last_name: Biswas
- first_name: Hamed
full_name: Khorasgani, Hamed
last_name: Khorasgani
- first_name: Sören
full_name: Volgmann, Sören
last_name: Volgmann
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
citation:
ama: 'Niggemann O, Biswas G, Khorasgani H, Volgmann S, Bunte A. Datenanalyse in
der intelligenten Fabrik. In: Vogel-Hauser B, Bauernhansl T, ten Hompel M, eds.
Handbuch Industrie 4.0 Bd. 2. Berlin, Heidelberg: Springer Berlin Heidelberg;
2016.'
apa: 'Niggemann, O., Biswas, G., Khorasgani, H., Volgmann, S., & Bunte, A. (2016).
Datenanalyse in der intelligenten Fabrik. In B. Vogel-Hauser, T. Bauernhansl,
& M. ten Hompel (Eds.), Handbuch Industrie 4.0 Bd. 2. Berlin, Heidelberg:
Springer Berlin Heidelberg.'
bjps: 'Niggemann O et al. (2016) Datenanalyse in Der Intelligenten
Fabrik. In Vogel-Hauser B, Bauernhansl T and ten Hompel M (eds), Handbuch Industrie
4.0 Bd. 2. Berlin, Heidelberg: Springer Berlin Heidelberg.'
chicago: 'Niggemann, Oliver, Gautam Biswas, Hamed Khorasgani, Sören Volgmann, and
Andreas Bunte. “Datenanalyse in Der Intelligenten Fabrik.” In Handbuch Industrie
4.0 Bd. 2, edited by Birgit Vogel-Hauser, Thomas Bauernhansl, and Michael
ten Hompel. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016.'
chicago-de: 'Niggemann, Oliver, Gautam Biswas, Hamed Khorasgani, Sören Volgmann
und Andreas Bunte. 2016. Datenanalyse in der intelligenten Fabrik. In: Handbuch
Industrie 4.0 Bd. 2, hg. von Birgit Vogel-Hauser, Thomas Bauernhansl, und
Michael ten Hompel. Berlin, Heidelberg: Springer Berlin Heidelberg.'
din1505-2-1: 'Niggemann, Oliver ;
Biswas, Gautam ; Khorasgani,
Hamed ; Volgmann, Sören ;
Bunte, Andreas: Datenanalyse in
der intelligenten Fabrik. In: Vogel-Hauser,
B. ; Bauernhansl, T. ; ten Hompel, M. (Hrsg.): Handbuch Industrie
4.0 Bd. 2. Berlin, Heidelberg : Springer Berlin Heidelberg, 2016'
havard: 'O. Niggemann, G. Biswas, H. Khorasgani, S. Volgmann, A. Bunte, Datenanalyse
in der intelligenten Fabrik, in: B. Vogel-Hauser, T. Bauernhansl, M. ten Hompel
(Eds.), Handbuch Industrie 4.0 Bd. 2, Springer Berlin Heidelberg, Berlin, Heidelberg,
2016.'
ieee: 'O. Niggemann, G. Biswas, H. Khorasgani, S. Volgmann, and A. Bunte, “Datenanalyse
in der intelligenten Fabrik,” in Handbuch Industrie 4.0 Bd. 2, B. Vogel-Hauser,
T. Bauernhansl, and M. ten Hompel, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg,
2016.'
mla: Niggemann, Oliver, et al. “Datenanalyse in Der Intelligenten Fabrik.” Handbuch
Industrie 4.0 Bd. 2, edited by Birgit Vogel-Hauser et al., Springer Berlin
Heidelberg, 2016.
short: 'O. Niggemann, G. Biswas, H. Khorasgani, S. Volgmann, A. Bunte, in: B. Vogel-Hauser,
T. Bauernhansl, M. ten Hompel (Eds.), Handbuch Industrie 4.0 Bd. 2, Springer Berlin
Heidelberg, Berlin, Heidelberg, 2016.'
ufg: 'Niggemann, Oliver et. al. (2016): Datenanalyse in der intelligenten
Fabrik, in: Birgit Vogel-Hauser et. al. (Hgg.): Handbuch Industrie 4.0 Bd.
2, Berlin, Heidelberg.'
van: 'Niggemann O, Biswas G, Khorasgani H, Volgmann S, Bunte A. Datenanalyse in
der intelligenten Fabrik. In: Vogel-Hauser B, Bauernhansl T, ten Hompel M, editors.
Handbuch Industrie 40 Bd 2. Berlin, Heidelberg: Springer Berlin Heidelberg; 2016.'
date_created: 2021-02-02T08:28:14Z
date_updated: 2023-03-15T13:49:55Z
department:
- _id: DEP5023
editor:
- first_name: Birgit
full_name: Vogel-Hauser, Birgit
last_name: Vogel-Hauser
- first_name: Thomas
full_name: Bauernhansl, Thomas
last_name: Bauernhansl
- first_name: Michael
full_name: ten Hompel, Michael
last_name: ten Hompel
language:
- iso: eng
main_file_link:
- url: https://link.springer.com/chapter/10.1007/978-3-662-53248-5_73
place: Berlin, Heidelberg
publication: Handbuch Industrie 4.0 Bd. 2
publisher: Springer Berlin Heidelberg
status: public
title: Datenanalyse in der intelligenten Fabrik
type: book_chapter
user_id: '68554'
year: 2016
...
---
_id: '4793'
author:
- first_name: Alexander
full_name: Diedrich, Alexander
last_name: Diedrich
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Alexander
full_name: Maier, Alexander
id: '11158'
last_name: Maier
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
citation:
ama: 'Diedrich A, Bunte A, Maier A, Niggemann O. Kognitive Architektur zum Konzeptlernen
in technischen Systemen. In: Machine Learning for Cyber Physical Systems and
Industry 4.0 (ML4CPS). Lemgo, Germany; 2015.'
apa: Diedrich, A., Bunte, A., Maier, A., & Niggemann, O. (2015). Kognitive Architektur
zum Konzeptlernen in technischen Systemen. In Machine Learning for Cyber Physical
Systems and Industry 4.0 (ML4CPS). Lemgo, Germany.
bjps: Diedrich A et al. (2015) Kognitive Architektur Zum Konzeptlernen
in Technischen Systemen. Machine Learning for Cyber Physical Systems and Industry
4.0 (ML4CPS). Lemgo, Germany.
chicago: Diedrich, Alexander, Andreas Bunte, Alexander Maier, and Oliver Niggemann.
“Kognitive Architektur Zum Konzeptlernen in Technischen Systemen.” In Machine
Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS). Lemgo, Germany,
2015.
chicago-de: 'Diedrich, Alexander, Andreas Bunte, Alexander Maier und Oliver Niggemann.
2015. Kognitive Architektur zum Konzeptlernen in technischen Systemen. In: Machine
Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS). Lemgo, Germany.'
din1505-2-1: 'Diedrich, Alexander
; Bunte, Andreas ; Maier,
Alexander ; Niggemann, Oliver:
Kognitive Architektur zum Konzeptlernen in technischen Systemen. In: Machine
Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS). Lemgo, Germany,
2015'
havard: 'A. Diedrich, A. Bunte, A. Maier, O. Niggemann, Kognitive Architektur zum
Konzeptlernen in technischen Systemen, in: Machine Learning for Cyber Physical
Systems and Industry 4.0 (ML4CPS), Lemgo, Germany, 2015.'
ieee: A. Diedrich, A. Bunte, A. Maier, and O. Niggemann, “Kognitive Architektur
zum Konzeptlernen in technischen Systemen,” in Machine Learning for Cyber Physical
Systems and Industry 4.0 (ML4CPS), 2015.
mla: Diedrich, Alexander, et al. “Kognitive Architektur Zum Konzeptlernen in Technischen
Systemen.” Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS),
2015.
short: 'A. Diedrich, A. Bunte, A. Maier, O. Niggemann, in: Machine Learning for
Cyber Physical Systems and Industry 4.0 (ML4CPS), Lemgo, Germany, 2015.'
ufg: 'Diedrich, Alexander et. al. (2015): Kognitive Architektur zum Konzeptlernen
in technischen Systemen, in: Machine Learning for Cyber Physical Systems and
Industry 4.0 (ML4CPS), Lemgo, Germany.'
van: 'Diedrich A, Bunte A, Maier A, Niggemann O. Kognitive Architektur zum Konzeptlernen
in technischen Systemen. In: Machine Learning for Cyber Physical Systems and Industry
40 (ML4CPS). Lemgo, Germany; 2015.'
date_created: 2021-02-02T08:36:53Z
date_updated: 2023-03-15T13:49:55Z
department:
- _id: DEP5023
language:
- iso: eng
place: Lemgo, Germany
publication: Machine Learning for Cyber Physical Systems and Industry 4.0 (ML4CPS)
status: public
title: Kognitive Architektur zum Konzeptlernen in technischen Systemen
type: conference
user_id: '68554'
year: 2015
...
---
_id: '4794'
author:
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
- first_name: Gautam
full_name: Biswas, Gautam
last_name: Biswas
- first_name: John S.
full_name: Kinnebrew, John S.
last_name: Kinnebrew
- first_name: Hamed
full_name: Khorasgani, Hamed
last_name: Khorasgani
- first_name: Sören
full_name: Volgmann, Sören
last_name: Volgmann
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
citation:
ama: 'Niggemann O, Biswas G, Kinnebrew JS, Khorasgani H, Volgmann S, Bunte A. Data-Driven
Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things
for Diagnosis and Control. In: International Workshop on the Principles of
Diagnosis (DX). Paris, France; 2015.'
apa: Niggemann, O., Biswas, G., Kinnebrew, J. S., Khorasgani, H., Volgmann, S.,
& Bunte, A. (2015). Data-Driven Monitoring of Cyber-Physical Systems Leveraging
on Big Data and the Internet-of-Things for Diagnosis and Control. In International
Workshop on the Principles of Diagnosis (DX). Paris, France.
bjps: Niggemann O et al. (2015) Data-Driven Monitoring of Cyber-Physical
Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control.
International Workshop on the Principles of Diagnosis (DX). Paris, France.
chicago: Niggemann, Oliver, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani,
Sören Volgmann, and Andreas Bunte. “Data-Driven Monitoring of Cyber-Physical Systems
Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control.”
In International Workshop on the Principles of Diagnosis (DX). Paris, France,
2015.
chicago-de: 'Niggemann, Oliver, Gautam Biswas, John S. Kinnebrew, Hamed Khorasgani,
Sören Volgmann und Andreas Bunte. 2015. Data-Driven Monitoring of Cyber-Physical
Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control.
In: International Workshop on the Principles of Diagnosis (DX). Paris,
France.'
din1505-2-1: 'Niggemann, Oliver ;
Biswas, Gautam ; Kinnebrew,
John S. ; Khorasgani, Hamed
; Volgmann, Sören ; Bunte,
Andreas: Data-Driven Monitoring of Cyber-Physical Systems Leveraging on
Big Data and the Internet-of-Things for Diagnosis and Control. In: International
Workshop on the Principles of Diagnosis (DX). Paris, France, 2015'
havard: 'O. Niggemann, G. Biswas, J.S. Kinnebrew, H. Khorasgani, S. Volgmann, A.
Bunte, Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data
and the Internet-of-Things for Diagnosis and Control, in: International Workshop
on the Principles of Diagnosis (DX), Paris, France, 2015.'
ieee: O. Niggemann, G. Biswas, J. S. Kinnebrew, H. Khorasgani, S. Volgmann, and
A. Bunte, “Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big
Data and the Internet-of-Things for Diagnosis and Control,” in International
Workshop on the Principles of Diagnosis (DX), 2015.
mla: Niggemann, Oliver, et al. “Data-Driven Monitoring of Cyber-Physical Systems
Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control.”
International Workshop on the Principles of Diagnosis (DX), 2015.
short: 'O. Niggemann, G. Biswas, J.S. Kinnebrew, H. Khorasgani, S. Volgmann, A.
Bunte, in: International Workshop on the Principles of Diagnosis (DX), Paris,
France, 2015.'
ufg: 'Niggemann, Oliver et. al. (2015): Data-Driven Monitoring of Cyber-Physical
Systems Leveraging on Big Data and the Internet-of-Things for Diagnosis and Control,
in: International Workshop on the Principles of Diagnosis (DX), Paris,
France.'
van: 'Niggemann O, Biswas G, Kinnebrew JS, Khorasgani H, Volgmann S, Bunte A. Data-Driven
Monitoring of Cyber-Physical Systems Leveraging on Big Data and the Internet-of-Things
for Diagnosis and Control. In: International Workshop on the Principles of Diagnosis
(DX). Paris, France; 2015.'
date_created: 2021-02-02T08:37:49Z
date_updated: 2023-03-15T13:49:55Z
department:
- _id: DEP5023
language:
- iso: eng
place: Paris, France
publication: International Workshop on the Principles of Diagnosis (DX)
status: public
title: Data-Driven Monitoring of Cyber-Physical Systems Leveraging on Big Data and
the Internet-of-Things for Diagnosis and Control
type: conference
user_id: '68554'
year: 2015
...
---
_id: '4795'
author:
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
- first_name: Stefan
full_name: Windmann, Stefan
id: '58525'
last_name: Windmann
- first_name: Sören
full_name: Volgmann, Sören
last_name: Volgmann
- first_name: Andreas
full_name: Bunte, Andreas
id: '58885'
last_name: Bunte
- first_name: Benno
full_name: Stein, Benno
last_name: Stein
citation:
ama: 'Niggemann O, Windmann S, Volgmann S, Bunte A, Stein B. Using Learned Models
for the Root Cause Analysis of Cyber-Physical Production Systems. In: International
Workshop on the Principles of Diagnosis (DX). Graz, Austria; 2014.'
apa: Niggemann, O., Windmann, S., Volgmann, S., Bunte, A., & Stein, B. (2014).
Using Learned Models for the Root Cause Analysis of Cyber-Physical Production
Systems. In International Workshop on the Principles of Diagnosis (DX).
Graz, Austria.
bjps: Niggemann O et al. (2014) Using Learned Models for the Root
Cause Analysis of Cyber-Physical Production Systems. International Workshop
on the Principles of Diagnosis (DX). Graz, Austria.
chicago: Niggemann, Oliver, Stefan Windmann, Sören Volgmann, Andreas Bunte, and
Benno Stein. “Using Learned Models for the Root Cause Analysis of Cyber-Physical
Production Systems.” In International Workshop on the Principles of Diagnosis
(DX). Graz, Austria, 2014.
chicago-de: 'Niggemann, Oliver, Stefan Windmann, Sören Volgmann, Andreas Bunte und
Benno Stein. 2014. Using Learned Models for the Root Cause Analysis of Cyber-Physical
Production Systems. In: International Workshop on the Principles of Diagnosis
(DX). Graz, Austria.'
din1505-2-1: 'Niggemann, Oliver ;
Windmann, Stefan ; Volgmann,
Sören ; Bunte, Andreas ;
Stein, Benno: Using Learned Models
for the Root Cause Analysis of Cyber-Physical Production Systems. In: International
Workshop on the Principles of Diagnosis (DX) : Graz, Austria, 2014'
havard: 'O. Niggemann, S. Windmann, S. Volgmann, A. Bunte, B. Stein, Using Learned
Models for the Root Cause Analysis of Cyber-Physical Production Systems, in: International
Workshop on the Principles of Diagnosis (DX), Graz, Austria, 2014.'
ieee: O. Niggemann, S. Windmann, S. Volgmann, A. Bunte, and B. Stein, “Using Learned
Models for the Root Cause Analysis of Cyber-Physical Production Systems,” in International
Workshop on the Principles of Diagnosis (DX), 2014.
mla: Niggemann, Oliver, et al. “Using Learned Models for the Root Cause Analysis
of Cyber-Physical Production Systems.” International Workshop on the Principles
of Diagnosis (DX), Graz, Austria, 2014.
short: 'O. Niggemann, S. Windmann, S. Volgmann, A. Bunte, B. Stein, in: International
Workshop on the Principles of Diagnosis (DX), Graz, Austria, 2014.'
ufg: 'Niggemann, Oliver et. al. (2014): Using Learned Models for the Root
Cause Analysis of Cyber-Physical Production Systems, in: International Workshop
on the Principles of Diagnosis (DX).'
van: 'Niggemann O, Windmann S, Volgmann S, Bunte A, Stein B. Using Learned Models
for the Root Cause Analysis of Cyber-Physical Production Systems. In: International
Workshop on the Principles of Diagnosis (DX). Graz, Austria; 2014.'
date_created: 2021-02-02T08:38:54Z
date_updated: 2023-03-15T13:49:55Z
department:
- _id: DEP5023
language:
- iso: eng
publication: International Workshop on the Principles of Diagnosis (DX)
publisher: Graz, Austria
status: public
title: Using Learned Models for the Root Cause Analysis of Cyber-Physical Production
Systems
type: conference
user_id: '68554'
year: 2014
...