---
_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: <i>Proceedings of the 11th International Probabilistic
    Safety Assessment and Management Conference (PSAM11) and The Annual European Safety
    and Reliability Conference (ESREL2012)</i>. Helsinki, Finland; 2012.'
  apa: Sondermann-Wölke , C., Meyer, T., Dorociak, R., Gausemeier, J., &#38; Sextro,
    W. (2012). Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing
    System based on its Principle Solution. In <i>Proceedings of the 11th International
    Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual
    European Safety and Reliability Conference (ESREL2012)</i>. 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 <i>Proceedings of the 11th International
    Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual
    European Safety and Reliability Conference (ESREL2012)</i>. 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 <i>Proceedings of the 11th International
    Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual
    European Safety and Reliability Conference (ESREL2012)</i>, 2012.
  mla: Sondermann-Wölke , Christoph, et al. “Conceptual Design of Advanced Condition
    Monitoring for a Self-Optimizing System Based on Its Principle Solution.” <i>Proceedings
    of the 11th International Probabilistic Safety Assessment and Management Conference
    (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012)</i>,
    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'
...
---
_id: '9736'
abstract:
- lang: eng
  text: Self-optimizing mechatronic systems are a new class of technical systems.
    On the one hand, new challenges regarding dependability arise from their additional
    complexity and adaptivity. On the other hand, their abilities enable new concepts
    and methods to improve the dependability of mechatronic systems. This paper introduces
    a multi-level dependability concept for self-optimizing mechatronic systems and
    shows how planning can be used to improve the availability and reliability of
    systems in the operating stages.
author:
- first_name: Benjamin
  full_name: Klöpper, Benjamin
  last_name: Klöpper
- first_name: Christoph
  full_name: Sondermann-Wölke, Christoph
  last_name: Sondermann-Wölke
- first_name: Christoph
  full_name: Romaus, Christoph
  last_name: Romaus
- first_name: Henner
  full_name: Vöcking, Henner
  last_name: Vöcking
citation:
  ama: 'Klöpper B, Sondermann-Wölke C, Romaus C, Vöcking H. Probabilistic planning
    integrated in a multi-level dependability concept for mechatronic systems. In:
    <i>Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE
    Symposium On</i>. ; 2009:104-111. doi:<a href="https://doi.org/10.1109/CICA.2009.4982790">10.1109/CICA.2009.4982790</a>'
  apa: Klöpper, B., Sondermann-Wölke, C., Romaus, C., &#38; Vöcking, H. (2009). Probabilistic
    planning integrated in a multi-level dependability concept for mechatronic systems.
    In <i>Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE
    Symposium on</i> (pp. 104–111). <a href="https://doi.org/10.1109/CICA.2009.4982790">https://doi.org/10.1109/CICA.2009.4982790</a>
  bibtex: '@inproceedings{Klöpper_Sondermann-Wölke_Romaus_Vöcking_2009, title={Probabilistic
    planning integrated in a multi-level dependability concept for mechatronic systems},
    DOI={<a href="https://doi.org/10.1109/CICA.2009.4982790">10.1109/CICA.2009.4982790</a>},
    booktitle={Computational Intelligence in Control and Automation, 2009. CICA 2009.
    IEEE Symposium on}, author={Klöpper, Benjamin and Sondermann-Wölke, Christoph
    and Romaus, Christoph and Vöcking, Henner}, year={2009}, pages={104–111} }'
  chicago: Klöpper, Benjamin, Christoph Sondermann-Wölke, Christoph Romaus, and Henner
    Vöcking. “Probabilistic Planning Integrated in a Multi-Level Dependability Concept
    for Mechatronic Systems.” In <i>Computational Intelligence in Control and Automation,
    2009. CICA 2009. IEEE Symposium On</i>, 104–11, 2009. <a href="https://doi.org/10.1109/CICA.2009.4982790">https://doi.org/10.1109/CICA.2009.4982790</a>.
  ieee: B. Klöpper, C. Sondermann-Wölke, C. Romaus, and H. Vöcking, “Probabilistic
    planning integrated in a multi-level dependability concept for mechatronic systems,”
    in <i>Computational Intelligence in Control and Automation, 2009. CICA 2009. IEEE
    Symposium on</i>, 2009, pp. 104–111.
  mla: Klöpper, Benjamin, et al. “Probabilistic Planning Integrated in a Multi-Level
    Dependability Concept for Mechatronic Systems.” <i>Computational Intelligence
    in Control and Automation, 2009. CICA 2009. IEEE Symposium On</i>, 2009, pp. 104–11,
    doi:<a href="https://doi.org/10.1109/CICA.2009.4982790">10.1109/CICA.2009.4982790</a>.
  short: 'B. Klöpper, C. Sondermann-Wölke, C. Romaus, H. Vöcking, in: Computational
    Intelligence in Control and Automation, 2009. CICA 2009. IEEE Symposium On, 2009,
    pp. 104–111.'
date_created: 2019-05-13T09:03:57Z
date_updated: 2022-01-06T07:04:19Z
department:
- _id: '151'
doi: 10.1109/CICA.2009.4982790
keyword:
- multilevel dependability concept
- probabilistic planning
- self-optimizing mechatronic systems
- systems reliability
- mechatronics
- planning (artificial intelligence)
- self-adjusting systems
language:
- iso: eng
page: 104 -111
publication: Computational Intelligence in Control and Automation, 2009. CICA 2009.
  IEEE Symposium on
quality_controlled: '1'
status: public
title: Probabilistic planning integrated in a multi-level dependability concept for
  mechatronic systems
type: conference
user_id: '55222'
year: '2009'
...
---
_id: '9742'
abstract:
- lang: eng
  text: New mechatronic systems, called self-optimizing systems, are able to adapt
    their behavior according to environmental, user and system specific influences.
    Self-optimizing systems are complex and due to their non-deterministic behavior
    comprise hidden risks, which cannot be foreseen in the design phase of the system.
    Therefore, this paper presents modifications of the current condition monitoring
    policy, to be able to cope with this new kind of systems. Beside avoiding critical
    situations evoked by self-optimization, the proposed concept uses self-optimization
    to increase the dependability of the system. In this case, the concept is applied
    to the active guidance module of an innovative rail-bound vehicle.
author:
- first_name: Christoph
  full_name: Sondermann-Wölke, Christoph
  last_name: Sondermann-Wölke
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Sondermann-Wölke C, Sextro W. Towards the Integration of Condition Monitoring
    in Self-Optimizing Function Modules. In: <i>Future Computing, Service Computation,
    Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation
    World:</i> ; 2009:15-20. doi:<a href="https://doi.org/10.1109/ComputationWorld.2009.47">10.1109/ComputationWorld.2009.47</a>'
  apa: Sondermann-Wölke, C., &#38; Sextro, W. (2009). Towards the Integration of Condition
    Monitoring in Self-Optimizing Function Modules. In <i>Future Computing, Service
    Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09.
    Computation World:</i> (pp. 15–20). <a href="https://doi.org/10.1109/ComputationWorld.2009.47">https://doi.org/10.1109/ComputationWorld.2009.47</a>
  bibtex: '@inproceedings{Sondermann-Wölke_Sextro_2009, title={Towards the Integration
    of Condition Monitoring in Self-Optimizing Function Modules}, DOI={<a href="https://doi.org/10.1109/ComputationWorld.2009.47">10.1109/ComputationWorld.2009.47</a>},
    booktitle={Future Computing, Service Computation, Cognitive, Adaptive, Content,
    Patterns, 2009. COMPUTATIONWORLD ’09. Computation World:}, author={Sondermann-Wölke,
    Christoph and Sextro, Walter}, year={2009}, pages={15–20} }'
  chicago: Sondermann-Wölke, Christoph, and Walter Sextro. “Towards the Integration
    of Condition Monitoring in Self-Optimizing Function Modules.” In <i>Future Computing,
    Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD
    ’09. Computation World:</i>, 15–20, 2009. <a href="https://doi.org/10.1109/ComputationWorld.2009.47">https://doi.org/10.1109/ComputationWorld.2009.47</a>.
  ieee: C. Sondermann-Wölke and W. Sextro, “Towards the Integration of Condition Monitoring
    in Self-Optimizing Function Modules,” in <i>Future Computing, Service Computation,
    Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation
    World:</i>, 2009, pp. 15–20.
  mla: Sondermann-Wölke, Christoph, and Walter Sextro. “Towards the Integration of
    Condition Monitoring in Self-Optimizing Function Modules.” <i>Future Computing,
    Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD
    ’09. Computation World:</i>, 2009, pp. 15–20, doi:<a href="https://doi.org/10.1109/ComputationWorld.2009.47">10.1109/ComputationWorld.2009.47</a>.
  short: 'C. Sondermann-Wölke, W. Sextro, in: Future Computing, Service Computation,
    Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD ’09. Computation
    World:, 2009, pp. 15–20.'
date_created: 2019-05-13T09:31:52Z
date_updated: 2022-01-06T07:04:19Z
department:
- _id: '151'
doi: 10.1109/ComputationWorld.2009.47
keyword:
- condition monitoring
- mechatronic systems
- rail bound vehicle
- rail guidance module
- self-optimization
- self-optimizing function modules
- condition monitoring
- mechatronics
- railway rolling stock
- self-adjusting systems
language:
- iso: eng
page: 15 -20
publication: 'Future Computing, Service Computation, Cognitive, Adaptive, Content,
  Patterns, 2009. COMPUTATIONWORLD ''09. Computation World:'
status: public
title: Towards the Integration of Condition Monitoring in Self-Optimizing Function
  Modules
type: conference
user_id: '55222'
year: '2009'
...
---
_id: '39078'
author:
- first_name: Jürgen
  full_name: Gausemeier, Jürgen
  id: '163'
  last_name: Gausemeier
- first_name: Wolfgang
  full_name: Müller, Wolfgang
  id: '16243'
  last_name: Müller
- first_name: Volker
  full_name: Paelke, Volker
  last_name: Paelke
- first_name: Jürgen
  full_name: Bauch, Jürgen
  last_name: Bauch
- first_name: Q.
  full_name: Shen, Q.
  last_name: Shen
- first_name: 'R. '
  full_name: 'Radkowski, R. '
  last_name: Radkowski
citation:
  ama: 'Gausemeier J, Müller W, Paelke V, Bauch J, Shen Q, Radkowski R. Virtual Prototyping
    Of Self-Optimizing Mechatronic Systems. In: <i>Proceedings of the Design 2004</i>.
    ; 2004.'
  apa: Gausemeier, J., Müller, W., Paelke, V., Bauch, J., Shen, Q., &#38; Radkowski,
    R. (2004). Virtual Prototyping Of Self-Optimizing Mechatronic Systems. <i>Proceedings
    of the Design 2004</i>. 8th International Design Conference , Dubrovnik.
  bibtex: '@inproceedings{Gausemeier_Müller_Paelke_Bauch_Shen_Radkowski_2004, place={Dubrovnik},
    title={Virtual Prototyping Of Self-Optimizing Mechatronic Systems}, booktitle={Proceedings
    of the Design 2004}, author={Gausemeier, Jürgen and Müller, Wolfgang and Paelke,
    Volker and Bauch, Jürgen and Shen, Q. and Radkowski, R. }, year={2004} }'
  chicago: Gausemeier, Jürgen, Wolfgang Müller, Volker Paelke, Jürgen Bauch, Q. Shen,
    and R.  Radkowski. “Virtual Prototyping Of Self-Optimizing Mechatronic Systems.”
    In <i>Proceedings of the Design 2004</i>. Dubrovnik, 2004.
  ieee: J. Gausemeier, W. Müller, V. Paelke, J. Bauch, Q. Shen, and R. Radkowski,
    “Virtual Prototyping Of Self-Optimizing Mechatronic Systems,” presented at the
    8th International Design Conference , Dubrovnik, 2004.
  mla: Gausemeier, Jürgen, et al. “Virtual Prototyping Of Self-Optimizing Mechatronic
    Systems.” <i>Proceedings of the Design 2004</i>, 2004.
  short: 'J. Gausemeier, W. Müller, V. Paelke, J. Bauch, Q. Shen, R. Radkowski, in:
    Proceedings of the Design 2004, Dubrovnik, 2004.'
conference:
  location: Dubrovnik
  name: '8th International Design Conference '
date_created: 2023-01-24T09:12:31Z
date_updated: 2023-01-24T09:12:40Z
department:
- _id: '672'
keyword:
- mechatronic systems
- self-optimization
- virtual prototyping
language:
- iso: eng
place: Dubrovnik
publication: Proceedings of the Design 2004
status: public
title: Virtual Prototyping Of Self-Optimizing Mechatronic Systems
type: conference
user_id: '5786'
year: '2004'
...