---
_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: '12803'
abstract:
- lang: eng
text: The increasing amount of alarms and information for an operator in a modern
plant becomes a significant safety risk. Although the notifications are a valuable
support, they also lead to the curse of overloading with information for the operator.
Due to the huge amount of alarms it is almost impossible to separate the crucial
information from the insignificant ones. Therefore, new procedures are required
to reduce these alarm floods and support the operator to minimize the safety risk.
One approach is based on learning a causal model that represents the relationships
between the alarms. This allows alarm sequences that are causally implied to be
reduced to the root cause alarm. Fundamental element of this approach is the causal
model. Therefore in this work, different probabilistic graphical models are considered
and evaluated on the basis of appropriate criteria. A real use case of a bottle
filling module serves as a benchmark for how well they are suitable as a causal
model for the application in alarm flood reduction.
author:
- first_name: Paul
full_name: Wunderlich, Paul
id: '52317'
last_name: Wunderlich
- first_name: Nemanja
full_name: Hranisavljevic, Nemanja
id: '62376'
last_name: Hranisavljevic
citation:
ama: Wunderlich P, Hranisavljevic N. Comparison of Different Probabilistic Graphical
Models as Causal Models in Alarm Flood Reduction. (Aalto University, Finland,
Tampere University, Finland, Finnish Society of Automation, Finland, eds.). IEEE;
2019:1285-1290. doi:10.1109/indin41052.2019.8972251
apa: Wunderlich, P., & Hranisavljevic, N. (2019). Comparison of Different Probabilistic
Graphical Models as Causal Models in Alarm Flood Reduction. In Aalto University,
Finland, Tampere University, Finland, & Finnish Society of Automation, Finland
(Eds.), 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)
(pp. 1285–1290). IEEE. https://doi.org/10.1109/indin41052.2019.8972251
bjps: 'Wunderlich P and Hranisavljevic N (2019) Comparison of Different
Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction,
Aalto University, Finland, Tampere University, Finland, and Finnish Society of
Automation, Finland (eds). [Piscataway, NJ]: IEEE.'
chicago: 'Wunderlich, Paul, and Nemanja Hranisavljevic. Comparison of Different
Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction.
Edited by Aalto University, Finland, Tampere University, Finland, and Finnish
Society of Automation, Finland. 2019 IEEE 17th International Conference on
Industrial Informatics (INDIN). [Piscataway, NJ]: IEEE, 2019. https://doi.org/10.1109/indin41052.2019.8972251.'
chicago-de: 'Wunderlich, Paul und Nemanja Hranisavljevic. 2019. Comparison of
Different Probabilistic Graphical Models as Causal Models in Alarm Flood Reduction.
Hg. von Aalto University, Finland, Tampere University, Finland, und Finnish Society
of Automation, Finland. 2019 IEEE 17th International Conference on Industrial
Informatics (INDIN). [Piscataway, NJ]: IEEE. doi:10.1109/indin41052.2019.8972251,
.'
din1505-2-1: 'Wunderlich, Paul ; Hranisavljevic, Nemanja ; Aalto
University, Finland ; Tampere University,
Finland ; Finnish Society of Automation,
Finland (Hrsg.): Comparison of Different Probabilistic Graphical Models
as Causal Models in Alarm Flood Reduction. [Piscataway, NJ] : IEEE, 2019'
havard: P. Wunderlich, N. Hranisavljevic, Comparison of Different Probabilistic
Graphical Models as Causal Models in Alarm Flood Reduction, IEEE, [Piscataway,
NJ], 2019.
ieee: 'P. Wunderlich and N. Hranisavljevic, Comparison of Different Probabilistic
Graphical Models as Causal Models in Alarm Flood Reduction. [Piscataway, NJ]:
IEEE, 2019, pp. 1285–1290. doi: 10.1109/indin41052.2019.8972251.'
mla: Wunderlich, Paul, and Nemanja Hranisavljevic. “Comparison of Different Probabilistic
Graphical Models as Causal Models in Alarm Flood Reduction.” 2019 IEEE 17th
International Conference on Industrial Informatics (INDIN), edited by Aalto
University, Finland et al., IEEE, 2019, pp. 1285–90, https://doi.org/10.1109/indin41052.2019.8972251.
short: P. Wunderlich, N. Hranisavljevic, Comparison of Different Probabilistic Graphical
Models as Causal Models in Alarm Flood Reduction, IEEE, [Piscataway, NJ], 2019.
ufg: 'Wunderlich, Paul/Hranisavljevic, Nemanja: Comparison of Different Probabilistic
Graphical Models as Causal Models in Alarm Flood Reduction, hg. von Aalto University,
Finland/Tampere University, Finland, Finnish Society of Automation, Finland, [Piscataway,
NJ] 2019.'
van: 'Wunderlich P, Hranisavljevic N. Comparison of Different Probabilistic Graphical
Models as Causal Models in Alarm Flood Reduction. Aalto University, Finland, Tampere
University, Finland, Finnish Society of Automation, Finland, editors. 2019 IEEE
17th International Conference on Industrial Informatics (INDIN). [Piscataway,
NJ]: IEEE; 2019.'
conference:
end_date: 2019-07-25
location: 'Helsinki, Finland '
name: 17th IEEE International Conference on Industrial Informatics (INDIN)
start_date: 2019-07-22
corporate_editor:
- Aalto University, Finland
- Tampere University, Finland
- Finnish Society of Automation, Finland
date_created: 2025-04-16T06:29:04Z
date_updated: 2025-06-26T13:38:06Z
department:
- _id: DEP5023
doi: 10.1109/indin41052.2019.8972251
keyword:
- probabilistic graphical model
- causal model
- alarm flood reduction
- Bayesian network
- Markov chain
- restricted boltzmann machine
- automata
language:
- iso: eng
page: 1285-1290
place: '[Piscataway, NJ]'
publication: 2019 IEEE 17th International Conference on Industrial Informatics (INDIN)
publication_identifier:
eisbn:
- 978-1-7281-2927-3
isbn:
- 978-1-7281-2928-0
publication_status: published
publisher: IEEE
status: public
title: Comparison of Different Probabilistic Graphical Models as Causal Models in
Alarm Flood Reduction
type: conference_editor_article
user_id: '83781'
year: '2019'
...