---
_id: '9994'
abstract:
- lang: eng
  text: Reliability-adaptive systems allow an adaptation of system behavior based
    on current system reliability. They can extend their lifetime at the cost of lowered
    performance or vice versa. This can be used to adapt failure behavior according
    to a maintenance plan, thus increasing availability while using up system capability
    fully. To facilitate setup, a control algorithm independent of a degradation model
    is desired. A closed loop control technique for reliability based on a health
    index, a measure for system degradation, is introduced. It uses self-optimization
    as means to implement behavior adaptation. This is based on selecting the priorities
    of objectives that the system pursues. Possible working points are computed beforehand
    using model-based multiobjective optimization techniques. The controller selects
    the priorities of objectives and this way balances reliability and performance.
    As exemplary application, an automatically actuated single plate dry clutch is
    introduced. The entire reliability control is setup and lifetime experiments are
    conducted. Results show that the variance of time to failure is reduced greatly,
    making the failure behavior more predictable. At the same time, the desired usable
    lifetime can be extended at the cost of system performance to allow for changed
    maintenance intervals. Together, these possibilities allow for greater system
    usage and better planning of maintenance.
author:
- first_name: Tobias
  full_name: Meyer, Tobias
  last_name: Meyer
citation:
  ama: Meyer T. <i>Optimization-Based Reliability Control of Mechatronic Systems</i>.
    Shaker; 2018.
  apa: Meyer, T. (2018). <i>Optimization-based reliability control of mechatronic
    systems</i>. Shaker.
  bibtex: '@book{Meyer_2018, title={Optimization-based reliability control of mechatronic
    systems}, publisher={Shaker}, author={Meyer, Tobias}, year={2018} }'
  chicago: Meyer, Tobias. <i>Optimization-Based Reliability Control of Mechatronic
    Systems</i>. Shaker, 2018.
  ieee: T. Meyer, <i>Optimization-based reliability control of mechatronic systems</i>.
    Shaker, 2018.
  mla: Meyer, Tobias. <i>Optimization-Based Reliability Control of Mechatronic Systems</i>.
    Shaker, 2018.
  short: T. Meyer, Optimization-Based Reliability Control of Mechatronic Systems,
    Shaker, 2018.
date_created: 2019-05-27T10:21:17Z
date_updated: 2023-09-15T12:26:09Z
department:
- _id: '151'
keyword:
- dependability
- reliability
- behavior adaptation
- self-optimization
- multiobjective optimization
- optimal control
- automotive drivetrain
- clutch system
- reliability-adaptive system
language:
- iso: eng
publisher: Shaker
status: public
title: Optimization-based reliability control of mechatronic systems
type: dissertation
user_id: '210'
year: '2018'
...
---
_id: '9885'
abstract:
- lang: eng
  text: Intelligent mechatronic systems, such as self-optimizing systems, allow an
    adaptation of the system behavior at runtime based on the current situation. To
    do so, they generally select among several pre-defined working points. A common
    method to determine working points for a mechatronic system is to use model-based
    multiobjective optimization. It allows finding compromises among conflicting objectives,
    called objective functions, by adapting parameters. To evaluate the system behavior
    for different parameter sets, a model of the system behavior is included in the
    objective functions and is evaluated during each function call. Intelligent mechatronic
    systems also have the ability to adapt their behavior based on their current reliability,
    thus increasing their availability, or on changed safety requirements; all of
    which are summed up by the common term dependability. To allow this adaptation,
    dependability can be considered in multiobjective optimization by including dependability-related
    objective functions. However, whereas performance-related objective functions
    are easily found, formulation of dependability-related objective functions is
    highly system-specific and not intuitive, making it complex and error-prone. Since
    each mechatronic system is different, individual failure modes have to be taken
    into account, which need to be found using common methods such as Failure-Modes
    and Effects Analysis or Fault Tree Analysis. Using component degradation models,
    which again are specific to the system at hand, the main loading factors can be
    determined. By including these in the model of the system behavior, the relation
    between working point and dependability can be formulated as an objective function.
    In our work, this approach is presented in more detail. It is exemplified using
    an actively actuated single plate dry clutch system. Results show that this approach
    is suitable for formulating dependability-related objective functions and that
    these can be used to extend system lifetime by adapting system behavior.
author:
- first_name: Tobias
  full_name: Meyer , Tobias
  last_name: 'Meyer '
- 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: Meyer  T, Sondermann-Wölke C, Sextro W. Method to Identify Dependability Objectives
    in Multiobjective Optimization Problem. <i>Conference Proceedings of the 2nd International
    Conference on System-Integrated Intelligence</i>. 2014;15:46-53. doi:<a href="https://doi.org/10.1016/j.protcy.2014.09.033">10.1016/j.protcy.2014.09.033</a>
  apa: Meyer , T., Sondermann-Wölke, C., &#38; Sextro, W. (2014). Method to Identify
    Dependability Objectives in Multiobjective Optimization Problem. <i>Conference
    Proceedings of the 2nd International Conference on System-Integrated Intelligence</i>,
    <i>15</i>, 46–53. <a href="https://doi.org/10.1016/j.protcy.2014.09.033">https://doi.org/10.1016/j.protcy.2014.09.033</a>
  bibtex: '@article{Meyer _Sondermann-Wölke_Sextro_2014, title={Method to Identify
    Dependability Objectives in Multiobjective Optimization Problem}, volume={15},
    DOI={<a href="https://doi.org/10.1016/j.protcy.2014.09.033">10.1016/j.protcy.2014.09.033</a>},
    journal={Conference Proceedings of the 2nd International Conference on System-Integrated
    Intelligence}, author={Meyer , Tobias and Sondermann-Wölke, Christoph and Sextro,
    Walter}, year={2014}, pages={46–53} }'
  chicago: 'Meyer , Tobias, Christoph Sondermann-Wölke, and Walter Sextro. “Method
    to Identify Dependability Objectives in Multiobjective Optimization Problem.”
    <i>Conference Proceedings of the 2nd International Conference on System-Integrated
    Intelligence</i> 15 (2014): 46–53. <a href="https://doi.org/10.1016/j.protcy.2014.09.033">https://doi.org/10.1016/j.protcy.2014.09.033</a>.'
  ieee: T. Meyer , C. Sondermann-Wölke, and W. Sextro, “Method to Identify Dependability
    Objectives in Multiobjective Optimization Problem,” <i>Conference Proceedings
    of the 2nd International Conference on System-Integrated Intelligence</i>, vol.
    15, pp. 46–53, 2014.
  mla: Meyer , Tobias, et al. “Method to Identify Dependability Objectives in Multiobjective
    Optimization Problem.” <i>Conference Proceedings of the 2nd International Conference
    on System-Integrated Intelligence</i>, vol. 15, 2014, pp. 46–53, doi:<a href="https://doi.org/10.1016/j.protcy.2014.09.033">10.1016/j.protcy.2014.09.033</a>.
  short: T. Meyer , C. Sondermann-Wölke, W. Sextro, Conference Proceedings of the
    2nd International Conference on System-Integrated Intelligence 15 (2014) 46–53.
date_created: 2019-05-20T13:19:37Z
date_updated: 2019-09-16T10:22:04Z
department:
- _id: '151'
doi: 10.1016/j.protcy.2014.09.033
intvolume: '        15'
keyword:
- Self-optimization
- multiobjective optimization
- objective function
- dependability
- intelligent system
- behavior adaptation
language:
- iso: eng
page: 46-53
publication: Conference Proceedings of the 2nd International Conference on System-Integrated
  Intelligence
quality_controlled: '1'
status: public
title: Method to Identify Dependability Objectives in Multiobjective Optimization
  Problem
type: journal_article
user_id: '55222'
volume: 15
year: '2014'
...
---
_id: '9786'
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 selfoptimizing mechatronic systems and
    shows how probabilistic planning can be used to improve the availability and reliability
    of systems in the operating phase. The general idea to improve the availability
    of autonomous systems by applying probabilistic planning methods to avoid energy
    shortages is exemplified on the example of an innovative railway vehicle.
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
citation:
  ama: Klöpper B, Sondermann-Wölke C, Romaus C. Probabilistic Planning for Predictive
    Condition Monitoring and Adaptation Within the Self-Optimizing Energy Management
    of an Autonomous Railway Vehicle. <i>Journal of Robotics and Mechatronics</i>.
    2012;24(1):5-15.
  apa: Klöpper, B., Sondermann-Wölke, C., &#38; Romaus, C. (2012). Probabilistic Planning
    for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing
    Energy Management of an Autonomous Railway Vehicle. <i>Journal of Robotics and
    Mechatronics</i>, <i>24</i>(1), 5–15.
  bibtex: '@article{Klöpper_Sondermann-Wölke_Romaus_2012, title={Probabilistic Planning
    for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing
    Energy Management of an Autonomous Railway Vehicle}, volume={24}, number={1},
    journal={Journal of Robotics and Mechatronics}, author={Klöpper, Benjamin and
    Sondermann-Wölke, Christoph and Romaus, Christoph}, year={2012}, pages={5–15}
    }'
  chicago: 'Klöpper, Benjamin, Christoph Sondermann-Wölke, and Christoph Romaus. “Probabilistic
    Planning for Predictive Condition Monitoring and Adaptation Within the Self-Optimizing
    Energy Management of an Autonomous Railway Vehicle.” <i>Journal of Robotics and
    Mechatronics</i> 24, no. 1 (2012): 5–15.'
  ieee: B. Klöpper, C. Sondermann-Wölke, and C. Romaus, “Probabilistic Planning for
    Predictive Condition Monitoring and Adaptation Within the Self-Optimizing Energy
    Management of an Autonomous Railway Vehicle,” <i>Journal of Robotics and Mechatronics</i>,
    vol. 24, no. 1, pp. 5–15, 2012.
  mla: Klöpper, Benjamin, et al. “Probabilistic Planning for Predictive Condition
    Monitoring and Adaptation Within the Self-Optimizing Energy Management of an Autonomous
    Railway Vehicle.” <i>Journal of Robotics and Mechatronics</i>, vol. 24, no. 1,
    2012, pp. 5–15.
  short: B. Klöpper, C. Sondermann-Wölke, C. Romaus, Journal of Robotics and Mechatronics
    24 (2012) 5–15.
date_created: 2019-05-13T13:23:45Z
date_updated: 2022-01-06T07:04:20Z
department:
- _id: '151'
intvolume: '        24'
issue: '1'
keyword:
- self-optimizing systems
- dependability
- probabilistic planning
- energy management
language:
- iso: eng
page: 5-15
publication: Journal of Robotics and Mechatronics
quality_controlled: '1'
status: public
title: Probabilistic Planning for Predictive Condition Monitoring and Adaptation Within
  the Self-Optimizing Energy Management of an Autonomous Railway Vehicle
type: journal_article
user_id: '55222'
volume: 24
year: '2012'
...
---
_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: '9761'
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, modifications of the ISO 17359 condition monitoring policy for being
    able to cope with this new kind of systems are presented. Besides avoiding critical
    situations evoked by self-optimization, the proposed concept uses self-optimization
    to increase the dependability of the system. This concept is applied to the active
    guidance module of an innovative rail-bound vehicle. First test drives provide
    information for the enhancement of the implementation of realtime switching to
    appropriate control strategies. The different control strategies are investigated
    in detail. It is illustrated that influences on the system like different track
    sections or the desired velocity of the RailCab effect the system and can lead
    to a higher amount of flange contacts, which indicate higher wear and thus a reduction
    of the availability of the system. Therefore, these influences should be minded
    within the condition monitoring policy. Consequently, this article presents the
    condition monitoring policy for self-optimizing function modules and its application
    to the active railway guidance module.
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. Integration of Condition Monitoring in Self-optimizing
    Function Modules Applied to the Active Railway Guidance Module. <i>International
    Journal On Advances in Intelligent Systems</i>. 2010;3(1-3):65-74.
  apa: Sondermann-Wölke, C., &#38; Sextro, W. (2010). Integration of Condition Monitoring
    in Self-optimizing Function Modules Applied to the Active Railway Guidance Module.
    <i>International Journal On Advances in Intelligent Systems</i>, <i>3</i>(1–3),
    65–74.
  bibtex: '@article{Sondermann-Wölke_Sextro_2010, title={Integration of Condition
    Monitoring in Self-optimizing Function Modules Applied to the Active Railway Guidance
    Module}, volume={3}, number={1–3}, journal={International Journal On Advances
    in Intelligent Systems}, author={Sondermann-Wölke, Christoph and Sextro, Walter},
    year={2010}, pages={65–74} }'
  chicago: 'Sondermann-Wölke, Christoph, and Walter Sextro. “Integration of Condition
    Monitoring in Self-Optimizing Function Modules Applied to the Active Railway Guidance
    Module.” <i>International Journal On Advances in Intelligent Systems</i> 3, no.
    1–3 (2010): 65–74.'
  ieee: C. Sondermann-Wölke and W. Sextro, “Integration of Condition Monitoring in
    Self-optimizing Function Modules Applied to the Active Railway Guidance Module,”
    <i>International Journal On Advances in Intelligent Systems</i>, vol. 3, no. 1–3,
    pp. 65–74, 2010.
  mla: Sondermann-Wölke, Christoph, and Walter Sextro. “Integration of Condition Monitoring
    in Self-Optimizing Function Modules Applied to the Active Railway Guidance Module.”
    <i>International Journal On Advances in Intelligent Systems</i>, vol. 3, no. 1–3,
    2010, pp. 65–74.
  short: C. Sondermann-Wölke, W. Sextro, International Journal On Advances in Intelligent
    Systems 3 (2010) 65–74.
date_created: 2019-05-13T10:27:02Z
date_updated: 2022-01-06T07:04:19Z
department:
- _id: '151'
intvolume: '         3'
issue: 1 - 3
keyword:
- dependability
- condition monitoring
- selfoptimization
- active railway guidance module
language:
- iso: eng
page: 65 - 74
publication: International Journal On Advances in Intelligent Systems
quality_controlled: '1'
status: public
title: Integration of Condition Monitoring in Self-optimizing Function Modules Applied
  to the Active Railway Guidance Module
type: journal_article
user_id: '55222'
volume: 3
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: '9570'
abstract:
- lang: eng
  text: "EN: Although the use of new actuator technologies is quite enthusiastic,
    the realization of innovative systems based on these principles fails because
    of doubts in dependability. Until now, new working principles for actuators have
    not been systematically investigated in the means of dependability. Therefore
    we developed a proceeding for a dependability-oriented evaluation of technologies.
    This is shown in the case of shape memory alloy actuators. \r\nDE: Die Realisierung
    von Systemen mittels innovativer Aktortechnologien scheitert oftmals an der Skepsis
    gegenüber der Verlässlichkeit (Vertrauen in die zuverlässige und sichere Funktionalität
    der Technologie). Diese liegt darin begründet, dass neue Aktortechnologien bzw.
    die Integration von innovativen physikalischen Wirkprinzipen innerhalb neuer Aktorkonzepte
    bisher noch nicht systematisch im Kontext der Verlässlichkeit untersucht werden.
    Daher haben wir ein Vorgehen zur verlässlichkeitsorientierten Technologiebewertung
    entwickelt. Neben der detaillierten Darstellung des Vorgehensmodells wird es exemplarisch
    anhand von Formgedächtnislegierungen zur Entwicklung innovativer Antriebslösungen
    angewendet."
author:
- first_name: Thomas
  full_name: Müller, Thomas
  last_name: Müller
- first_name: Florian
  full_name: Schiedeck, Florian
  last_name: Schiedeck
- first_name: Tobias
  full_name: Hemsel, Tobias
  id: '210'
  last_name: Hemsel
citation:
  ama: 'Müller T, Schiedeck F, Hemsel T. Verlässlichkeitorientierte Technologiebewertung
    innovativer Aktortechnologien am Beispiel von Formgedächtnislegierungen. In: <i>2.
    Tagung Des DVM -- Arbeitskreis Zuverlässigkeit Mechatronischer Und Adaptronischer
    Systeme: Absicherung Der Systemzuverlässigkeit, Koblenz</i>. ; 2008.'
  apa: 'Müller, T., Schiedeck, F., &#38; Hemsel, T. (2008). Verlässlichkeitorientierte
    Technologiebewertung innovativer Aktortechnologien am Beispiel von Formgedächtnislegierungen.
    In <i>2. Tagung des DVM -- Arbeitskreis Zuverlässigkeit mechatronischer und adaptronischer
    Systeme: Absicherung der Systemzuverlässigkeit, Koblenz</i>.'
  bibtex: '@inproceedings{Müller_Schiedeck_Hemsel_2008, title={Verlässlichkeitorientierte
    Technologiebewertung innovativer Aktortechnologien am Beispiel von Formgedächtnislegierungen},
    booktitle={2. Tagung des DVM -- Arbeitskreis Zuverlässigkeit mechatronischer und
    adaptronischer Systeme: Absicherung der Systemzuverlässigkeit, Koblenz}, author={Müller,
    Thomas and Schiedeck, Florian and Hemsel, Tobias}, year={2008} }'
  chicago: 'Müller, Thomas, Florian Schiedeck, and Tobias Hemsel. “Verlässlichkeitorientierte
    Technologiebewertung Innovativer Aktortechnologien Am Beispiel von Formgedächtnislegierungen.”
    In <i>2. Tagung Des DVM -- Arbeitskreis Zuverlässigkeit Mechatronischer Und Adaptronischer
    Systeme: Absicherung Der Systemzuverlässigkeit, Koblenz</i>, 2008.'
  ieee: 'T. Müller, F. Schiedeck, and T. Hemsel, “Verlässlichkeitorientierte Technologiebewertung
    innovativer Aktortechnologien am Beispiel von Formgedächtnislegierungen,” in <i>2.
    Tagung des DVM -- Arbeitskreis Zuverlässigkeit mechatronischer und adaptronischer
    Systeme: Absicherung der Systemzuverlässigkeit, Koblenz</i>, 2008.'
  mla: 'Müller, Thomas, et al. “Verlässlichkeitorientierte Technologiebewertung Innovativer
    Aktortechnologien Am Beispiel von Formgedächtnislegierungen.” <i>2. Tagung Des
    DVM -- Arbeitskreis Zuverlässigkeit Mechatronischer Und Adaptronischer Systeme:
    Absicherung Der Systemzuverlässigkeit, Koblenz</i>, 2008.'
  short: 'T. Müller, F. Schiedeck, T. Hemsel, in: 2. Tagung Des DVM -- Arbeitskreis
    Zuverlässigkeit Mechatronischer Und Adaptronischer Systeme: Absicherung Der Systemzuverlässigkeit,
    Koblenz, 2008.'
date_created: 2019-04-29T11:57:41Z
date_updated: 2022-01-06T07:04:16Z
department:
- _id: '151'
keyword:
- 'EN: Dependability'
- Reliability
- Evaluation of Technology
- Actuators
- 'Shape Memory Alloys DE: Verl{\'
language:
- iso: eng
publication: '2. Tagung des DVM -- Arbeitskreis Zuverlässigkeit mechatronischer und
  adaptronischer Systeme: Absicherung der Systemzuverlässigkeit, Koblenz'
status: public
title: Verlässlichkeitorientierte Technologiebewertung innovativer Aktortechnologien
  am Beispiel von Formgedächtnislegierungen
type: conference
user_id: '55222'
year: '2008'
...