---
_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: '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'
...