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Sensors 2017, 17(3), 601; doi:10.3390/s17030601

An Approach to Automated Fusion System Design and Adaptation

InIT—Institute Industrial IT, Ostwestfalen-Lippe University of Applied Sciences, 32657 Lemgo, Germany
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Academic Editors: Stefan Bosse, Ansgar Trächtler, Klaus-Dieter Thoben, Berend Denkena, Dirk Lehmhus and Leonhard M. Reindl
Received: 14 December 2016 / Revised: 9 February 2017 / Accepted: 9 March 2017 / Published: 16 March 2017
(This article belongs to the Special Issue System-Integrated Intelligence and Intelligent Systems)
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Abstract

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. View Full-Text
Keywords: information fusion; sensor fusion; intelligent sensor; self-configuration; knowledge-based system information fusion; sensor fusion; intelligent sensor; self-configuration; knowledge-based system
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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Fritze, A.; Mönks, U.; Holst, C.-A.; Lohweg, V. An Approach to Automated Fusion System Design and Adaptation. Sensors 2017, 17, 601.

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