---
_id: '9791'
abstract:
- lang: eng
text: 'The rapid development of communication and information technology opens up
fascinating perspectives, which go far beyond the state of the art in mechatronics:
mechatronic systems with inherent partial intelligence. These so called self-optimizing
systems adapt their objectives and behavior autonomously and flexibly to changing
operating conditions. On the one hand, securing the dependability of such systems
is challenging due to their complexity and non-deterministic behavior. On the
other hand, self-optimization can be used to increase the dependability of the
system during its operation. However, it has to be ensured, that the self-optimization
works dependable itself. To cope with these challenges, the multi-level dependability
concept was developed. It enables predictive condition monitoring, influences
the objectives of the system and determines suitable means to improve the system''s
dependability during its operation. In this contribution we introduce a procedure
for the conceptual design of an advanced condition monitoring based on the system''s
principle solution. The principle solution describes the principal operation mode
of the system and its desired behavior. It is modeled using the specification
technique for the domain-spanning description of the principle solution of a self-optimizing
system and consists of a coherent system of eight partial models (e.g. requirements,
active structure, system of objectives, behavior, etc.). The partial models are
analyzed separately in order to derive the components of the multi-level dependability
concept. In particular, the reliability analysis of the partial model active structure
is performed to identify the system elements to be monitored and parameters to
be measured. The principle solution is extended accordingly: e.g. with system
elements required for the realization of the dependability concept. The advantages
of the method are shown on the self-optimizing guidance module of a railroad vehicle.'
author:
- first_name: Christoph
full_name: Sondermann-Wölke , Christoph
last_name: 'Sondermann-Wölke '
- first_name: Tobias
full_name: Meyer, Tobias
last_name: Meyer
- first_name: Rafal
full_name: Dorociak, Rafal
last_name: Dorociak
- first_name: Jürgen
full_name: Gausemeier, Jürgen
last_name: Gausemeier
- first_name: Walter
full_name: Sextro, Walter
id: '21220'
last_name: Sextro
citation:
ama: 'Sondermann-Wölke C, Meyer T, Dorociak R, Gausemeier J, Sextro W. Conceptual
Design of Advanced Condition Monitoring for a Self-Optimizing System based on
its Principle Solution. In: Proceedings of the 11th International Probabilistic
Safety Assessment and Management Conference (PSAM11) and The Annual European Safety
and Reliability Conference (ESREL2012). Helsinki, Finland; 2012.'
apa: Sondermann-Wölke , C., Meyer, T., Dorociak, R., Gausemeier, J., & Sextro,
W. (2012). Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing
System based on its Principle Solution. In Proceedings of the 11th International
Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual
European Safety and Reliability Conference (ESREL2012). Helsinki, Finland.
bibtex: '@inproceedings{Sondermann-Wölke _Meyer_Dorociak_Gausemeier_Sextro_2012,
place={Helsinki, Finland}, title={Conceptual Design of Advanced Condition Monitoring
for a Self-Optimizing System based on its Principle Solution}, booktitle={Proceedings
of the 11th International Probabilistic Safety Assessment and Management Conference
(PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012)},
author={Sondermann-Wölke , Christoph and Meyer, Tobias and Dorociak, Rafal and
Gausemeier, Jürgen and Sextro, Walter}, year={2012} }'
chicago: Sondermann-Wölke , Christoph, Tobias Meyer, Rafal Dorociak, Jürgen Gausemeier,
and Walter Sextro. “Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing
System Based on Its Principle Solution.” In Proceedings of the 11th International
Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual
European Safety and Reliability Conference (ESREL2012). Helsinki, Finland,
2012.
ieee: C. Sondermann-Wölke , T. Meyer, R. Dorociak, J. Gausemeier, and W. Sextro,
“Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System
based on its Principle Solution,” in Proceedings of the 11th International
Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual
European Safety and Reliability Conference (ESREL2012), 2012.
mla: Sondermann-Wölke , Christoph, et al. “Conceptual Design of Advanced Condition
Monitoring for a Self-Optimizing System Based on Its Principle Solution.” Proceedings
of the 11th International Probabilistic Safety Assessment and Management Conference
(PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012),
2012.
short: 'C. Sondermann-Wölke , T. Meyer, R. Dorociak, J. Gausemeier, W. Sextro, in:
Proceedings of the 11th International Probabilistic Safety Assessment and Management
Conference (PSAM11) and The Annual European Safety and Reliability Conference
(ESREL2012), Helsinki, Finland, 2012.'
date_created: 2019-05-13T13:41:34Z
date_updated: 2022-01-06T07:04:20Z
department:
- _id: '151'
keyword:
- Mechatronic Systems
- Principle Solution
- Condition Monitoring
- Conceptual Design
language:
- iso: eng
place: Helsinki, Finland
publication: Proceedings of the 11th International Probabilistic Safety Assessment
and Management Conference (PSAM11) and The Annual European Safety and Reliability
Conference (ESREL2012)
quality_controlled: '1'
status: public
title: Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System
based on its Principle Solution
type: conference
user_id: '55222'
year: '2012'
...