---
_id: '9791'
abstract:
- lang: eng
  text: 'The rapid development of communication and information technology opens up
    fascinating perspectives, which go far beyond the state of the art in mechatronics:
    mechatronic systems with inherent partial intelligence. These so called self-optimizing
    systems adapt their objectives and behavior autonomously and flexibly to changing
    operating conditions. On the one hand, securing the dependability of such systems
    is challenging due to their complexity and non-deterministic behavior. On the
    other hand, self-optimization can be used to increase the dependability of the
    system during its operation. However, it has to be ensured, that the self-optimization
    works dependable itself. To cope with these challenges, the multi-level dependability
    concept was developed. It enables predictive condition monitoring, influences
    the objectives of the system and determines suitable means to improve the system''s
    dependability during its operation. In this contribution we introduce a procedure
    for the conceptual design of an advanced condition monitoring based on the system''s
    principle solution. The principle solution describes the principal operation mode
    of the system and its desired behavior. It is modeled using the specification
    technique for the domain-spanning description of the principle solution of a self-optimizing
    system and consists of a coherent system of eight partial models (e.g. requirements,
    active structure, system of objectives, behavior, etc.). The partial models are
    analyzed separately in order to derive the components of the multi-level dependability
    concept. In particular, the reliability analysis of the partial model active structure
    is performed to identify the system elements to be monitored and parameters to
    be measured. The principle solution is extended accordingly: e.g. with system
    elements required for the realization of the dependability concept. The advantages
    of the method are shown on the self-optimizing guidance module of a railroad vehicle.'
author:
- first_name: Christoph
  full_name: Sondermann-Wölke , Christoph
  last_name: 'Sondermann-Wölke '
- first_name: Tobias
  full_name: Meyer, Tobias
  last_name: Meyer
- first_name: Rafal
  full_name: Dorociak, Rafal
  last_name: Dorociak
- first_name: Jürgen
  full_name: Gausemeier, Jürgen
  last_name: Gausemeier
- first_name: Walter
  full_name: Sextro, Walter
  id: '21220'
  last_name: Sextro
citation:
  ama: 'Sondermann-Wölke  C, Meyer T, Dorociak R, Gausemeier J, Sextro W. Conceptual
    Design of Advanced Condition Monitoring for a Self-Optimizing System based on
    its Principle Solution. In: <i>Proceedings of the 11th International Probabilistic
    Safety Assessment and Management Conference (PSAM11) and The Annual European Safety
    and Reliability Conference (ESREL2012)</i>. Helsinki, Finland; 2012.'
  apa: Sondermann-Wölke , C., Meyer, T., Dorociak, R., Gausemeier, J., &#38; Sextro,
    W. (2012). Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing
    System based on its Principle Solution. In <i>Proceedings of the 11th International
    Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual
    European Safety and Reliability Conference (ESREL2012)</i>. Helsinki, Finland.
  bibtex: '@inproceedings{Sondermann-Wölke _Meyer_Dorociak_Gausemeier_Sextro_2012,
    place={Helsinki, Finland}, title={Conceptual Design of Advanced Condition Monitoring
    for a Self-Optimizing System based on its Principle Solution}, booktitle={Proceedings
    of the 11th International Probabilistic Safety Assessment and Management Conference
    (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012)},
    author={Sondermann-Wölke , Christoph and Meyer, Tobias and Dorociak, Rafal and
    Gausemeier, Jürgen and Sextro, Walter}, year={2012} }'
  chicago: Sondermann-Wölke , Christoph, Tobias Meyer, Rafal Dorociak, Jürgen Gausemeier,
    and Walter Sextro. “Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing
    System Based on Its Principle Solution.” In <i>Proceedings of the 11th International
    Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual
    European Safety and Reliability Conference (ESREL2012)</i>. Helsinki, Finland,
    2012.
  ieee: C. Sondermann-Wölke , T. Meyer, R. Dorociak, J. Gausemeier, and W. Sextro,
    “Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System
    based on its Principle Solution,” in <i>Proceedings of the 11th International
    Probabilistic Safety Assessment and Management Conference (PSAM11) and The Annual
    European Safety and Reliability Conference (ESREL2012)</i>, 2012.
  mla: Sondermann-Wölke , Christoph, et al. “Conceptual Design of Advanced Condition
    Monitoring for a Self-Optimizing System Based on Its Principle Solution.” <i>Proceedings
    of the 11th International Probabilistic Safety Assessment and Management Conference
    (PSAM11) and The Annual European Safety and Reliability Conference (ESREL2012)</i>,
    2012.
  short: 'C. Sondermann-Wölke , T. Meyer, R. Dorociak, J. Gausemeier, W. Sextro, in:
    Proceedings of the 11th International Probabilistic Safety Assessment and Management
    Conference (PSAM11) and The Annual European Safety and Reliability Conference
    (ESREL2012), Helsinki, Finland, 2012.'
date_created: 2019-05-13T13:41:34Z
date_updated: 2022-01-06T07:04:20Z
department:
- _id: '151'
keyword:
- Mechatronic Systems
- Principle Solution
- Condition Monitoring
- Conceptual Design
language:
- iso: eng
place: Helsinki, Finland
publication: Proceedings of the 11th International Probabilistic Safety Assessment
  and Management Conference (PSAM11) and The Annual European Safety and Reliability
  Conference (ESREL2012)
quality_controlled: '1'
status: public
title: Conceptual Design of Advanced Condition Monitoring for a Self-Optimizing System
  based on its Principle Solution
type: conference
user_id: '55222'
year: '2012'
...