---
_id: '9760'
abstract:
- lang: eng
  text: Self-optimizing systems are able to adapt their behavior autonomously according
    to their current self-determined objectives. Unforeseen influences could lead
    to dependability-critical behavior of the system. Methods are required which secure
    self-optimizing systems during operation. These methods to increase the dependability
    of the system should already be taken into consideration in the design process.
    This paper presents a guideline for the dependability-oriented design of self-optimizing
    systems, which integrates established classical methods like failure mode and
    effects analysis as well as methods based on self-optimization. On the one hand
    self-optimization is used to increase the dependability of the system by integrating
    objectives like safety, availability, and reliability to the objectives of the
    system. On the other hand methods are required to ensure the self-optimization
    itself. As basis for this guideline serves the principle solution of the system.
    The six phases of the guideline extend the design process and lead to an enhanced
    principle solution. Additionally, the guideline illustrates phases to implement
    and validate the self-optimizing system. The proposed guideline is applied to
    an innovative rail-bound vehicle, called RailCab, which is equipped with self-optimizing
    function modules.
author:
- first_name: Christoph
  full_name: Sondermann-Wölke, Christoph
  last_name: Sondermann-Wölke
- first_name: Tobias
  full_name: Hemsel, Tobias
  id: '210'
  last_name: Hemsel
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
- first_name: Jürgen
  full_name: Gausemeier, Jürgen
  last_name: Gausemeier
- first_name: Sebastian
  full_name: Pook, Sebastian
  last_name: Pook
citation:
  ama: 'Sondermann-Wölke C, Hemsel T, Sextro W, Gausemeier J, Pook S. Guideline for
    the dependability-oriented design of self-optimizing systems. In: <i>Industrial
    Informatics (INDIN), 2010 8th IEEE International Conference On</i>. ; 2010:739-744.
    doi:<a href="https://doi.org/10.1109/INDIN.2010.5549490">10.1109/INDIN.2010.5549490</a>'
  apa: Sondermann-Wölke, C., Hemsel, T., Sextro, W., Gausemeier, J., &#38; Pook, S.
    (2010). Guideline for the dependability-oriented design of self-optimizing systems.
    In <i>Industrial Informatics (INDIN), 2010 8th IEEE International Conference on</i>
    (pp. 739–744). <a href="https://doi.org/10.1109/INDIN.2010.5549490">https://doi.org/10.1109/INDIN.2010.5549490</a>
  bibtex: '@inproceedings{Sondermann-Wölke_Hemsel_Sextro_Gausemeier_Pook_2010, title={Guideline
    for the dependability-oriented design of self-optimizing systems}, DOI={<a href="https://doi.org/10.1109/INDIN.2010.5549490">10.1109/INDIN.2010.5549490</a>},
    booktitle={Industrial Informatics (INDIN), 2010 8th IEEE International Conference
    on}, author={Sondermann-Wölke, Christoph and Hemsel, Tobias and Sextro, Walter
    and Gausemeier, Jürgen and Pook, Sebastian}, year={2010}, pages={739–744} }'
  chicago: Sondermann-Wölke, Christoph, Tobias Hemsel, Walter Sextro, Jürgen Gausemeier,
    and Sebastian Pook. “Guideline for the Dependability-Oriented Design of Self-Optimizing
    Systems.” In <i>Industrial Informatics (INDIN), 2010 8th IEEE International Conference
    On</i>, 739–44, 2010. <a href="https://doi.org/10.1109/INDIN.2010.5549490">https://doi.org/10.1109/INDIN.2010.5549490</a>.
  ieee: C. Sondermann-Wölke, T. Hemsel, W. Sextro, J. Gausemeier, and S. Pook, “Guideline
    for the dependability-oriented design of self-optimizing systems,” in <i>Industrial
    Informatics (INDIN), 2010 8th IEEE International Conference on</i>, 2010, pp.
    739–744.
  mla: Sondermann-Wölke, Christoph, et al. “Guideline for the Dependability-Oriented
    Design of Self-Optimizing Systems.” <i>Industrial Informatics (INDIN), 2010 8th
    IEEE International Conference On</i>, 2010, pp. 739–44, doi:<a href="https://doi.org/10.1109/INDIN.2010.5549490">10.1109/INDIN.2010.5549490</a>.
  short: 'C. Sondermann-Wölke, T. Hemsel, W. Sextro, J. Gausemeier, S. Pook, in: Industrial
    Informatics (INDIN), 2010 8th IEEE International Conference On, 2010, pp. 739–744.'
date_created: 2019-05-13T10:25:26Z
date_updated: 2022-01-06T07:04:19Z
department:
- _id: '151'
doi: 10.1109/INDIN.2010.5549490
keyword:
- RailCab
- dependability-critical behavior
- dependability-oriented design
- failure mode
- rail-bound vehicle
- secure self-optimizing systems
- self-optimizing function modules
- optimisation
- railways
- self-adjusting systems
language:
- iso: eng
page: 739 -744
publication: Industrial Informatics (INDIN), 2010 8th IEEE International Conference
  on
quality_controlled: '1'
status: public
title: Guideline for the dependability-oriented design of self-optimizing systems
type: conference
user_id: '55222'
year: '2010'
...
---
_id: '9763'
abstract:
- lang: eng
  text: Recent advances in information processing enable new kinds of technical systems,
    called self-optimizing systems. These systems are able to adapt their objectives
    and their behavior according to the current situation and influences autonomously.
    This behavior adaptation is non-deterministic and hence self-optimization is a
    risk to the system, e.g. if the result of the self-optimization process does not
    match the suddenly changed situation. In contrary, self-optimization could be
    used to increase the dependability by pursuing objectives like reliability and
    availability. In our preceding publications we introduced the so called multi-level
    dependability concept to cope with this new kind of systems (cf. [6]). This concept
    comprises the monitoring of the system behavior, the classification of the current
    situation, and the selection of the appropriate measure, if reliability limits
    are exceeded. In this paper we present for the first time experimental results.
    The dependability concept is implemented in the self-optimizing active guidance
    system of a railway vehicle. The test drives illustrate clearly that the proposed
    concept is able to cope with, e.g., sensor failures, and is able to increase the
    reliability and availability of the active guidance module.
author:
- first_name: Christoph
  full_name: Sondermann-Wölke, Christoph
  last_name: Sondermann-Wölke
- first_name: Jens
  full_name: Geisler, Jens
  last_name: Geisler
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Sondermann-Wölke C, Geisler J, Sextro W. Increasing the reliability of a self-optimizing
    railway guidance system. In: <i>Reliability and Maintainability Symposium (RAMS),
    2010 Proceedings - Annual</i>. ; 2010:1-6. doi:<a href="https://doi.org/10.1109/RAMS.2010.5448080">10.1109/RAMS.2010.5448080</a>'
  apa: Sondermann-Wölke, C., Geisler, J., &#38; Sextro, W. (2010). Increasing the
    reliability of a self-optimizing railway guidance system. In <i>Reliability and
    Maintainability Symposium (RAMS), 2010 Proceedings - Annual</i> (pp. 1–6). <a
    href="https://doi.org/10.1109/RAMS.2010.5448080">https://doi.org/10.1109/RAMS.2010.5448080</a>
  bibtex: '@inproceedings{Sondermann-Wölke_Geisler_Sextro_2010, title={Increasing
    the reliability of a self-optimizing railway guidance system}, DOI={<a href="https://doi.org/10.1109/RAMS.2010.5448080">10.1109/RAMS.2010.5448080</a>},
    booktitle={Reliability and Maintainability Symposium (RAMS), 2010 Proceedings
    - Annual}, author={Sondermann-Wölke, Christoph and Geisler, Jens and Sextro, Walter},
    year={2010}, pages={1–6} }'
  chicago: Sondermann-Wölke, Christoph, Jens Geisler, and Walter Sextro. “Increasing
    the Reliability of a Self-Optimizing Railway Guidance System.” In <i>Reliability
    and Maintainability Symposium (RAMS), 2010 Proceedings - Annual</i>, 1–6, 2010.
    <a href="https://doi.org/10.1109/RAMS.2010.5448080">https://doi.org/10.1109/RAMS.2010.5448080</a>.
  ieee: C. Sondermann-Wölke, J. Geisler, and W. Sextro, “Increasing the reliability
    of a self-optimizing railway guidance system,” in <i>Reliability and Maintainability
    Symposium (RAMS), 2010 Proceedings - Annual</i>, 2010, pp. 1–6.
  mla: Sondermann-Wölke, Christoph, et al. “Increasing the Reliability of a Self-Optimizing
    Railway Guidance System.” <i>Reliability and Maintainability Symposium (RAMS),
    2010 Proceedings - Annual</i>, 2010, pp. 1–6, doi:<a href="https://doi.org/10.1109/RAMS.2010.5448080">10.1109/RAMS.2010.5448080</a>.
  short: 'C. Sondermann-Wölke, J. Geisler, W. Sextro, in: Reliability and Maintainability
    Symposium (RAMS), 2010 Proceedings - Annual, 2010, pp. 1–6.'
date_created: 2019-05-13T10:35:39Z
date_updated: 2022-01-06T07:04:19Z
department:
- _id: '151'
doi: 10.1109/RAMS.2010.5448080
keyword:
- availability
- dependability concept
- multilevel dependability concept
- railway vehicle
- reliability
- self optimizing active guidance system
- self optimizing railway guidance system
- situation classification
- system behavior monitoring
- optimal control
- railways
- reliability theory
- self-adjusting systems
language:
- iso: eng
page: 1 -6
publication: Reliability and Maintainability Symposium (RAMS), 2010 Proceedings -
  Annual
publication_identifier:
  issn:
  - 0149-144X
quality_controlled: '1'
status: public
title: Increasing the reliability of a self-optimizing railway guidance system
type: conference
user_id: '55222'
year: '2010'
...
---
_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'
...