---
_id: '9949'
abstract:
- lang: eng
  text: Intelligent mechatronic systems other the possibility to adapt system behavior
    to current dependability. This can be used to assure reliability by controlling
    system behavior to reach a pre-defined lifetime. By using such closed loop control,
    the margin of error of useful lifetime of an individual system is lowered. It
    is also possible to change the pre-defined lifetime during operation, by adapting
    system behavior to derate component usage. When planning maintenance actions,
    the remaining useful lifetime of each individual system has to be taken into account.
    Usually, stochastic properties of a fleet of systems are analyzed to create maintenance
    plans. Among these, the main factor is the probability of an individual system
    to last until maintenance. If condition-based maintenance is used, this is updated
    for each individual system using available information about its current state.
    By lowering the margin of error of useful lifetime, which directly corresponds
    to the time until maintenance, extended maintenance periods are made possible.
    Also using reliability-adaptive operation, a reversal of degradation driven maintenance
    planning is possible where a maintenance plan is setup not only according to system
    properties, but mainly to requirements imposed by maintenance personnel or infrastructure.
    Each system then adapts its behavior accordingly and fails according to the maintenance
    plan, making better use of maintenance personnel and system capabilities at the
    same time. In this contribution, the potential of maintenance plan driven system
    behavior adaptation is shown. A model including adaptation process and maintenance
    actions is simulated over full system lifetime to assess the advantages gained.
author:
- first_name: Tobias
  full_name: Meyer, Tobias
  last_name: Meyer
- first_name: Thorben
  full_name: Kaul, Thorben
  id: '14802'
  last_name: Kaul
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Meyer T, Kaul T, Sextro W. Advantages of reliability-adaptive system operation
    for maintenance planning. In: <i>Proceedings of the 9th IFAC Symposium on Fault
    Detection, Supervision and Safety for Technical Processes</i>. ; 2015:940-945.
    doi:<a href="https://doi.org/10.1016/j.ifacol.2015.09.647">10.1016/j.ifacol.2015.09.647</a>'
  apa: Meyer, T., Kaul, T., &#38; Sextro, W. (2015). Advantages of reliability-adaptive
    system operation for maintenance planning. In <i>Proceedings of the 9th IFAC Symposium
    on Fault Detection, Supervision and Safety for Technical Processes</i> (pp. 940–945).
    <a href="https://doi.org/10.1016/j.ifacol.2015.09.647">https://doi.org/10.1016/j.ifacol.2015.09.647</a>
  bibtex: '@inproceedings{Meyer_Kaul_Sextro_2015, title={Advantages of reliability-adaptive
    system operation for maintenance planning}, DOI={<a href="https://doi.org/10.1016/j.ifacol.2015.09.647">10.1016/j.ifacol.2015.09.647</a>},
    booktitle={Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision
    and Safety for Technical Processes}, author={Meyer, Tobias and Kaul, Thorben and
    Sextro, Walter}, year={2015}, pages={940–945} }'
  chicago: Meyer, Tobias, Thorben Kaul, and Walter Sextro. “Advantages of Reliability-Adaptive
    System Operation for Maintenance Planning.” In <i>Proceedings of the 9th IFAC
    Symposium on Fault Detection, Supervision and Safety for Technical Processes</i>,
    940–45, 2015. <a href="https://doi.org/10.1016/j.ifacol.2015.09.647">https://doi.org/10.1016/j.ifacol.2015.09.647</a>.
  ieee: T. Meyer, T. Kaul, and W. Sextro, “Advantages of reliability-adaptive system
    operation for maintenance planning,” in <i>Proceedings of the 9th IFAC Symposium
    on Fault Detection, Supervision and Safety for Technical Processes</i>, 2015,
    pp. 940–945.
  mla: Meyer, Tobias, et al. “Advantages of Reliability-Adaptive System Operation
    for Maintenance Planning.” <i>Proceedings of the 9th IFAC Symposium on Fault Detection,
    Supervision and Safety for Technical Processes</i>, 2015, pp. 940–45, doi:<a href="https://doi.org/10.1016/j.ifacol.2015.09.647">10.1016/j.ifacol.2015.09.647</a>.
  short: 'T. Meyer, T. Kaul, W. Sextro, in: Proceedings of the 9th IFAC Symposium
    on Fault Detection, Supervision and Safety for Technical Processes, 2015, pp.
    940–945.'
date_created: 2019-05-27T08:29:40Z
date_updated: 2019-09-16T10:43:42Z
department:
- _id: '151'
doi: 10.1016/j.ifacol.2015.09.647
keyword:
- Adaptive systems
- Reliability analysis
- Availability
- Adaptive control
- Maintenance
- Self-optimizing systems
- Self-optimizing control
- Stochastic Petri-nets
language:
- iso: eng
page: 940-945
publication: Proceedings of the 9th IFAC Symposium on Fault Detection, Supervision
  and Safety for Technical Processes
quality_controlled: '1'
status: public
title: Advantages of reliability-adaptive system operation for maintenance planning
type: conference
user_id: '55222'
year: '2015'
...
---
_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'
...