---
_id: '4327'
abstract:
- lang: eng
text: In ever changing world, the industrial systems become more and more complex.
Machine feedback in the form of alarms and notifications, due to its growing volume,
becomes overwhelming for the operator. In addition, expectations in relation to
system availability are growing as well. Therefore, there exists strong need for
new solutions guaranteeing fast troubleshooting of problems that arise during
system operation. The approach proposed in this study uses advantages of the Asset
Administration Shell, machine learning, and human-machine interaction in order
to create the assistance system which holistically addresses the issue of troubleshooting
complex industrial systems.
author:
- first_name: Dorota
full_name: Lang, Dorota
id: '68941'
last_name: Lang
- first_name: Paul
full_name: Wunderlich, Paul
id: '52317'
last_name: Wunderlich
- first_name: Mario
full_name: Heinz, Mario
id: '68913'
last_name: Heinz
- first_name: Lukasz
full_name: Wisniewski, Lukasz
id: '1710'
last_name: Wisniewski
- first_name: Jürgen
full_name: Jasperneite, Jürgen
id: '1899'
last_name: Jasperneite
- first_name: Oliver
full_name: Niggemann, Oliver
id: '10876'
last_name: Niggemann
- first_name: Carsten
full_name: Röcker, Carsten
id: '61525'
last_name: Röcker
citation:
ama: 'Lang D, Wunderlich P, Heinz M, et al. Assistance System to Support Troubleshooting
of Complex Industrial Systems. In: 14th IEEE International Workshop on Factory
Communication Systems (WFCS). Piscataway, NJ: IEEE; 2018. doi:10.1109/WFCS.2018.8402380'
apa: 'Lang, D., Wunderlich, P., Heinz, M., Wisniewski, L., Jasperneite, J., Niggemann,
O., & Röcker, C. (2018). Assistance System to Support Troubleshooting of Complex
Industrial Systems. In 14th IEEE International Workshop on Factory Communication
Systems (WFCS). Piscataway, NJ: IEEE. https://doi.org/10.1109/WFCS.2018.8402380'
bjps: 'Lang D et al. (2018) Assistance System to Support Troubleshooting
of Complex Industrial Systems. 14th IEEE International Workshop on Factory
Communication Systems (WFCS). Piscataway, NJ: IEEE.'
chicago: 'Lang, Dorota, Paul Wunderlich, Mario Heinz, Lukasz Wisniewski, Jürgen
Jasperneite, Oliver Niggemann, and Carsten Röcker. “Assistance System to Support
Troubleshooting of Complex Industrial Systems.” In 14th IEEE International
Workshop on Factory Communication Systems (WFCS). Piscataway, NJ: IEEE, 2018.
https://doi.org/10.1109/WFCS.2018.8402380.'
chicago-de: 'Lang, Dorota, Paul Wunderlich, Mario Heinz, Lukasz Wisniewski, Jürgen
Jasperneite, Oliver Niggemann und Carsten Röcker. 2018. Assistance System to Support
Troubleshooting of Complex Industrial Systems. In: 14th IEEE International
Workshop on Factory Communication Systems (WFCS). Piscataway, NJ: IEEE. doi:10.1109/WFCS.2018.8402380,
.'
din1505-2-1: 'Lang, Dorota ; Wunderlich, Paul ; Heinz,
Mario ; Wisniewski, Lukasz
; Jasperneite, Jürgen ; Niggemann,
Oliver ; Röcker, Carsten:
Assistance System to Support Troubleshooting of Complex Industrial Systems. In:
14th IEEE International Workshop on Factory Communication Systems (WFCS).
Piscataway, NJ : IEEE, 2018'
havard: 'D. Lang, P. Wunderlich, M. Heinz, L. Wisniewski, J. Jasperneite, O. Niggemann,
C. Röcker, Assistance System to Support Troubleshooting of Complex Industrial
Systems, in: 14th IEEE International Workshop on Factory Communication Systems
(WFCS), IEEE, Piscataway, NJ, 2018.'
ieee: D. Lang et al., “Assistance System to Support Troubleshooting of Complex
Industrial Systems,” in 14th IEEE International Workshop on Factory Communication
Systems (WFCS), Imperia, Italy , 2018.
mla: Lang, Dorota, et al. “Assistance System to Support Troubleshooting of Complex
Industrial Systems.” 14th IEEE International Workshop on Factory Communication
Systems (WFCS), IEEE, 2018, doi:10.1109/WFCS.2018.8402380.
short: 'D. Lang, P. Wunderlich, M. Heinz, L. Wisniewski, J. Jasperneite, O. Niggemann,
C. Röcker, in: 14th IEEE International Workshop on Factory Communication Systems
(WFCS), IEEE, Piscataway, NJ, 2018.'
ufg: 'Lang, Dorota et. al. (2018): Assistance System to Support Troubleshooting
of Complex Industrial Systems, in: 14th IEEE International Workshop on Factory
Communication Systems (WFCS), Piscataway, NJ.'
van: 'Lang D, Wunderlich P, Heinz M, Wisniewski L, Jasperneite J, Niggemann O, et
al. Assistance System to Support Troubleshooting of Complex Industrial Systems.
In: 14th IEEE International Workshop on Factory Communication Systems (WFCS).
Piscataway, NJ: IEEE; 2018.'
conference:
end_date: 2018-06-15
location: 'Imperia, Italy '
name: 14th IEEE International Workshop on Factory Communication Systems (WFCS)
start_date: 2018-06-13
date_created: 2021-01-08T08:26:30Z
date_updated: 2023-03-15T13:49:52Z
department:
- _id: DEP5023
- _id: DEP5019
doi: 10.1109/WFCS.2018.8402380
keyword:
- Maintenance engineering
- Adaptation models
- Machine learning
- Data models
- Standards
- Software
- Bayes methods
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
place: Piscataway, NJ
publication: 14th IEEE International Workshop on Factory Communication Systems (WFCS)
publication_identifier:
eisbn:
- 978-1-5386-1066-4
publication_status: published
publisher: IEEE
status: public
title: Assistance System to Support Troubleshooting of Complex Industrial Systems
type: conference
user_id: '45673'
year: 2018
...
---
_id: '265'
abstract:
- lang: eng
text: The maintenance of a tool for injection molding or forming is usually accompanied
by its disassembly and assembly. The duration of the assembly activities is often
a large part of the total activity time for the maintenance of the tool. The degree
of performance of the employees in the execution of these disassembly and assembly
activities is often low. In addition, allowances occur (e.g. searching for work
equipment). At the Industrial Engineering Lab of the Ostwestfalen-Lippe University
of Applied Sciences, a prototype of an assistance system was developed to support
the assembly activities in toolmaking. With the help of this system, the operator
is guided step by step through the assembly process. The economic potential of
the system exists in the reduction of training times, the avoidance of assembly
errors and the increase of labor productivity.
author:
- first_name: Sven
full_name: Hinrichsen, Sven
id: '49010'
last_name: Hinrichsen
- first_name: Daniel
full_name: Riediger, Daniel
id: '52263'
last_name: Riediger
- first_name: Alexander
full_name: Unrau, Alexander
id: '64690'
last_name: Unrau
citation:
ama: 'Hinrichsen S, Riediger D, Unrau A. Development of a Projection-Based Assistance
System for Maintaining Injection Molding Tools. In: IEEE/ IEEM, ed. 2017 IEEE
International Conference on Industrial Engineering and Engineering Management
(IEEM). Danvers; 2017:1571-1575. doi:https://doi.org/10.1109/IEEM.2017.8290157'
apa: Hinrichsen, S., Riediger, D., & Unrau, A. (2017). Development of a Projection-Based
Assistance System for Maintaining Injection Molding Tools. In IEEE/ IEEM (Ed.),
2017 IEEE International Conference on Industrial Engineering and Engineering
Management (IEEM) (pp. 1571–1575). Danvers. https://doi.org/10.1109/IEEM.2017.8290157
bjps: Hinrichsen S, Riediger D and Unrau A (2017) Development of a Projection-Based
Assistance System for Maintaining Injection Molding Tools. In IEEE/ IEEM (ed.),
2017 IEEE International Conference on Industrial Engineering and Engineering
Management (IEEM). Danvers, pp. 1571–1575.
chicago: Hinrichsen, Sven, Daniel Riediger, and Alexander Unrau. “Development of
a Projection-Based Assistance System for Maintaining Injection Molding Tools.”
In 2017 IEEE International Conference on Industrial Engineering and Engineering
Management (IEEM), edited by IEEE/ IEEM, 1571–75. Danvers, 2017. https://doi.org/10.1109/IEEM.2017.8290157.
chicago-de: 'Hinrichsen, Sven, Daniel Riediger und Alexander Unrau. 2017. Development
of a Projection-Based Assistance System for Maintaining Injection Molding Tools.
In: 2017 IEEE International Conference on Industrial Engineering and Engineering
Management (IEEM), hg. von IEEE/ IEEM, 1571–1575. Danvers. doi:https://doi.org/10.1109/IEEM.2017.8290157,
.'
din1505-2-1: 'Hinrichsen, Sven ; Riediger, Daniel ; Unrau,
Alexander: Development of a Projection-Based Assistance System for Maintaining
Injection Molding Tools. In: IEEE/ IEEM
(Hrsg.): 2017 IEEE International Conference on Industrial Engineering and Engineering
Management (IEEM). Danvers, 2017, S. 1571–1575'
havard: 'S. Hinrichsen, D. Riediger, A. Unrau, Development of a Projection-Based
Assistance System for Maintaining Injection Molding Tools, in: IEEE/ IEEM (Ed.),
2017 IEEE International Conference on Industrial Engineering and Engineering Management
(IEEM), Danvers, 2017: pp. 1571–1575.'
ieee: S. Hinrichsen, D. Riediger, and A. Unrau, “Development of a Projection-Based
Assistance System for Maintaining Injection Molding Tools,” in 2017 IEEE International
Conference on Industrial Engineering and Engineering Management (IEEM), Singapore,
2017, no. 1, pp. 1571–1575.
mla: Hinrichsen, Sven, et al. “Development of a Projection-Based Assistance System
for Maintaining Injection Molding Tools.” 2017 IEEE International Conference
on Industrial Engineering and Engineering Management (IEEM), edited by IEEE/
IEEM, no. 1, 2017, pp. 1571–75, doi:https://doi.org/10.1109/IEEM.2017.8290157.
short: 'S. Hinrichsen, D. Riediger, A. Unrau, in: IEEE/ IEEM (Ed.), 2017 IEEE International
Conference on Industrial Engineering and Engineering Management (IEEM), Danvers,
2017, pp. 1571–1575.'
ufg: 'Hinrichsen, Sven et. al. (2017): Development of a Projection-Based
Assistance System for Maintaining Injection Molding Tools, in: IEEE/ IEEM (Hg.):
2017 IEEE International Conference on Industrial Engineering and Engineering
Management (IEEM), Danvers, S. 1571–1575.'
van: 'Hinrichsen S, Riediger D, Unrau A. Development of a Projection-Based Assistance
System for Maintaining Injection Molding Tools. In: IEEE/ IEEM, editor. 2017 IEEE
International Conference on Industrial Engineering and Engineering Management
(IEEM). Danvers; 2017. p. 1571–5.'
conference:
end_date: 2017-12-13
location: Singapore
name: 'IEEE International Conference on Industrial Engineering and Engineering Management '
start_date: 2017-12-10
corporate_editor:
- IEEE/ IEEM
date_created: 2018-11-26T11:59:27Z
date_updated: 2023-03-15T13:49:41Z
ddc:
- '620'
department:
- _id: DEP7020
- _id: DEP1305
doi: https://doi.org/10.1109/IEEM.2017.8290157
issue: '1'
keyword:
- injection moulding
- machine tools
- maintenance engineering
- productivity
- projection-based assistance system
- injection molding tools
- assembly activities
- assembly process
- assembly errors
- tool maintenance
- disassembly activities
- economic potential
- Industrial Engineering Lab
- Ostwestfalen-Lippe University of Applied Sciences
- toolmaking
- Tools
- Injection molding
- Maintenance engineering
- Usability
- Task analysis
- Workstations
- Morphology
- assembly assistance systems
- assistance systems
- maintenance of injection molding tools
- manual assembly
language:
- iso: eng
page: 1571-1575
place: Danvers
publication: 2017 IEEE International Conference on Industrial Engineering and Engineering
Management (IEEM)
publication_identifier:
isbn:
- '978-1-5386-0948-4 '
quality_controlled: '1'
status: public
title: Development of a Projection-Based Assistance System for Maintaining Injection
Molding Tools
type: conference
user_id: '74004'
year: 2017
...
---
_id: '4329'
abstract:
- lang: eng
text: The term Industrie 4.0 carries the vision of smart factories, which automatically
adapt to changes and assist the human as much as possible during operation and
maintenance. This includes smart human machine interfaces, which reduce the chances
of errors and help to make the right decisions. This paper presents an approach
to equip the maintenance software running on a tablet PC with augmented reality
functionality to be able to place virtual sticky notes at production modules.
Additionally, these sticky notes are enriched with position information. The central
element of this approach is an ontology-based context-aware framework, which aggregates
and processes data from different sources. As a result, a tablet PC application
was implemented, which allows displaying maintenance information as well as live
plant process data in the form of augmented reality. More than 100 of those sticky
notes can be placed using this system, whereas each note requires a file size
of 12 to 16 kilo bytes. After placing a sticky note, the system recognizes it
even if the camera's position is not exactly the same as during the placing process.
author:
- first_name: Holger
full_name: Flatt, Holger
id: '58494'
last_name: Flatt
- first_name: Nils
full_name: Koch, Nils
last_name: Koch
- first_name: Andrei
full_name: Guenter, Andrei
last_name: Guenter
- first_name: Carsten
full_name: Röcker, Carsten
id: '61525'
last_name: Röcker
- first_name: Jürgen
full_name: Jasperneite, Jürgen
id: '1899'
last_name: Jasperneite
citation:
ama: 'Flatt H, Koch N, Guenter A, Röcker C, Jasperneite J. A Context-Aware Assistance
System for Maintenance Applications in Smart Factories based on Augmented Reality
and Indoor Localization. In: 2015 IEEE 20th Conference on Emerging Technologies
& Factory Automation (ETFA). New York: IEEE; 2015. doi:10.1109/ETFA.2015.7301586'
apa: 'Flatt, H., Koch, N., Guenter, A., Röcker, C., & Jasperneite, J. (2015).
A Context-Aware Assistance System for Maintenance Applications in Smart Factories
based on Augmented Reality and Indoor Localization. In 2015 IEEE 20th Conference
on Emerging Technologies & Factory Automation (ETFA). New York: IEEE.
https://doi.org/10.1109/ETFA.2015.7301586'
bjps: 'Flatt H et al. (2015) A Context-Aware Assistance System for
Maintenance Applications in Smart Factories Based on Augmented Reality and Indoor
Localization. 2015 IEEE 20th Conference on Emerging Technologies & Factory
Automation (ETFA). New York: IEEE.'
chicago: 'Flatt, Holger, Nils Koch, Andrei Guenter, Carsten Röcker, and Jürgen Jasperneite.
“A Context-Aware Assistance System for Maintenance Applications in Smart Factories
Based on Augmented Reality and Indoor Localization.” In 2015 IEEE 20th Conference
on Emerging Technologies & Factory Automation (ETFA). New York: IEEE,
2015. https://doi.org/10.1109/ETFA.2015.7301586.'
chicago-de: 'Flatt, Holger, Nils Koch, Andrei Guenter, Carsten Röcker und Jürgen
Jasperneite. 2015. A Context-Aware Assistance System for Maintenance Applications
in Smart Factories based on Augmented Reality and Indoor Localization. In:
2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA).
New York: IEEE. doi:10.1109/ETFA.2015.7301586,
.'
din1505-2-1: 'Flatt, Holger ; Koch, Nils ; Guenter,
Andrei ; Röcker, Carsten
; Jasperneite, Jürgen: A Context-Aware
Assistance System for Maintenance Applications in Smart Factories based on Augmented
Reality and Indoor Localization. In: 2015 IEEE 20th Conference on Emerging
Technologies & Factory Automation (ETFA). New York : IEEE, 2015'
havard: 'H. Flatt, N. Koch, A. Guenter, C. Röcker, J. Jasperneite, A Context-Aware
Assistance System for Maintenance Applications in Smart Factories based on Augmented
Reality and Indoor Localization, in: 2015 IEEE 20th Conference on Emerging Technologies
& Factory Automation (ETFA), IEEE, New York, 2015.'
ieee: H. Flatt, N. Koch, A. Guenter, C. Röcker, and J. Jasperneite, “A Context-Aware
Assistance System for Maintenance Applications in Smart Factories based on Augmented
Reality and Indoor Localization,” in 2015 IEEE 20th Conference on Emerging
Technologies & Factory Automation (ETFA), Luxembourg, Luxembourg, 2015.
mla: Flatt, Holger, et al. “A Context-Aware Assistance System for Maintenance Applications
in Smart Factories Based on Augmented Reality and Indoor Localization.” 2015
IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA),
IEEE, 2015, doi:10.1109/ETFA.2015.7301586.
short: 'H. Flatt, N. Koch, A. Guenter, C. Röcker, J. Jasperneite, in: 2015 IEEE
20th Conference on Emerging Technologies & Factory Automation (ETFA), IEEE,
New York, 2015.'
ufg: 'Flatt, Holger et. al. (2015): A Context-Aware Assistance System for
Maintenance Applications in Smart Factories based on Augmented Reality and Indoor
Localization, in: 2015 IEEE 20th Conference on Emerging Technologies &
Factory Automation (ETFA), New York.'
van: 'Flatt H, Koch N, Guenter A, Röcker C, Jasperneite J. A Context-Aware Assistance
System for Maintenance Applications in Smart Factories based on Augmented Reality
and Indoor Localization. In: 2015 IEEE 20th Conference on Emerging Technologies
& Factory Automation (ETFA). New York: IEEE; 2015.'
conference:
end_date: 2015-09-11
location: Luxembourg, Luxembourg
name: 20th Conference on Emerging Technologies & Factory Automation (ETFA)
start_date: 2015-09-08
date_created: 2021-01-08T12:03:42Z
date_updated: 2023-03-15T13:49:52Z
department:
- _id: DEP5023
doi: 10.1109/ETFA.2015.7301586
keyword:
- Maintenance engineering
- Augmented reality
- Context
- Context modelin
- Production facilities
- Cameras
language:
- iso: eng
main_file_link:
- open_access: '1'
oa: '1'
place: New York
publication: ' 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation
(ETFA)'
publication_status: published
publisher: IEEE
status: public
title: A Context-Aware Assistance System for Maintenance Applications in Smart Factories
based on Augmented Reality and Indoor Localization
type: conference
user_id: '15514'
year: 2015
...