---
_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'
...