---
_id: '2014'
abstract:
- lang: eng
  text: Industrial applications are in transition towards modular and flexible architectures
    that are capable of self-configuration and -optimisation. This is due to the demand
    of mass customisation and the increasing complexity of industrial systems. The
    conversion to modular systems is related to challenges in all disciplines. Consequently,
    diverse tasks such as information processing, extensive networking, or system
    monitoring using sensor and information fusion systems need to be reconsidered.
    The focus of this contribution is on distributed sensor and information fusion
    systems for system monitoring, which must reflect the increasing flexibility of
    fusion systems. This contribution thus proposes an approach, which relies on a
    network of self-descriptive intelligent sensor nodes, for the automatic design
    and update of sensor and information fusion systems. This article encompasses
    the fusion system configuration and adaptation as well as communication aspects.
    Manual interaction with the flexibly changing system is reduced to a minimum.
article_number: '601'
author:
- first_name: Alexander
  full_name: Fritze, Alexander
  last_name: Fritze
- first_name: Uwe
  full_name: Mönks, Uwe
  id: '1825'
  last_name: Mönks
- first_name: Christoph-Alexander
  full_name: Holst, Christoph-Alexander
  id: '64782'
  last_name: Holst
- first_name: Volker
  full_name: Lohweg, Volker
  id: '1804'
  last_name: Lohweg
  orcid: 0000-0002-3325-7887
citation:
  ama: Fritze A, Mönks U, Holst C-A, Lohweg V. An Approach to Automated Fusion System
    Design and Adaptation. <i>Sensors</i>. 2017;17(3). doi:<a href="https://doi.org/
    https://doi.org/10.3390/s17030601"> https://doi.org/10.3390/s17030601</a>
  apa: Fritze, A., Mönks, U., Holst, C.-A., &#38; Lohweg, V. (2017). An Approach to
    Automated Fusion System Design and Adaptation. <i>Sensors</i>, <i>17</i>(3). <a
    href="https://doi.org/ https://doi.org/10.3390/s17030601">https://doi.org/ https://doi.org/10.3390/s17030601</a>
  bjps: <b>Fritze A <i>et al.</i></b> (2017) An Approach to Automated Fusion System
    Design and Adaptation. <i>Sensors</i> <b>17</b>.
  chicago: Fritze, Alexander, Uwe Mönks, Christoph-Alexander Holst, and Volker Lohweg.
    “An Approach to Automated Fusion System Design and Adaptation.” <i>Sensors</i>
    17, no. 3 (2017). <a href="https://doi.org/ https://doi.org/10.3390/s17030601">https://doi.org/
    https://doi.org/10.3390/s17030601</a>.
  chicago-de: Fritze, Alexander, Uwe Mönks, Christoph-Alexander Holst und Volker Lohweg.
    2017. An Approach to Automated Fusion System Design and Adaptation. <i>Sensors</i>
    17, Nr. 3. doi:<a href="https://doi.org/ https://doi.org/10.3390/s17030601,">
    https://doi.org/10.3390/s17030601,</a> .
  din1505-2-1: '<span style="font-variant:small-caps;">Fritze, Alexander</span> ;
    <span style="font-variant:small-caps;">Mönks, Uwe</span> ; <span style="font-variant:small-caps;">Holst,
    Christoph-Alexander</span> ; <span style="font-variant:small-caps;">Lohweg, Volker</span>:
    An Approach to Automated Fusion System Design and Adaptation. In: <i>Sensors</i>
    Bd. 17 (2017), Nr. 3'
  havard: A. Fritze, U. Mönks, C.-A. Holst, V. Lohweg, An Approach to Automated Fusion
    System Design and Adaptation, Sensors. 17 (2017).
  ieee: A. Fritze, U. Mönks, C.-A. Holst, and V. Lohweg, “An Approach to Automated
    Fusion System Design and Adaptation,” <i>Sensors</i>, vol. 17, no. 3, 2017.
  mla: Fritze, Alexander, et al. “An Approach to Automated Fusion System Design and
    Adaptation.” <i>Sensors</i>, vol. 17, no. 3, 601, 2017, doi:<a href="https://doi.org/
    https://doi.org/10.3390/s17030601"> https://doi.org/10.3390/s17030601</a>.
  short: A. Fritze, U. Mönks, C.-A. Holst, V. Lohweg, Sensors 17 (2017).
  ufg: '<b>Fritze, Alexander et. al. (2017)</b>: An Approach to Automated Fusion System
    Design and Adaptation, in: <i>Sensors</i> <i>17</i> (<i>3</i>).'
  van: Fritze A, Mönks U, Holst C-A, Lohweg V. An Approach to Automated Fusion System
    Design and Adaptation. Sensors. 2017;17(3).
date_created: 2019-11-25T08:52:14Z
date_updated: 2023-03-15T13:49:38Z
department:
- _id: DEP5023
doi: ' https://doi.org/10.3390/s17030601'
intvolume: '        17'
issue: '3'
keyword:
- information fusion
- intelligent sensor
- knowledge-based system
- self-configuration
- sensor fusion
language:
- iso: eng
main_file_link:
- open_access: '1'
  url: https://www.mdpi.com/1424-8220/17/3/601/htm
oa: '1'
publication: Sensors
publication_identifier:
  issn:
  - 1424-8220
publication_status: published
status: public
title: An Approach to Automated Fusion System Design and Adaptation
type: journal_article
user_id: '15514'
volume: 17
year: 2017
...