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An Approach to Automated Fusion System Design and Adaptation

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 challeng...

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Detalles Bibliográficos
Autores principales: Fritze, Alexander, Mönks, Uwe, Holst, Christoph-Alexander, Lohweg, Volker
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375887/
https://www.ncbi.nlm.nih.gov/pubmed/28300762
http://dx.doi.org/10.3390/s17030601
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author Fritze, Alexander
Mönks, Uwe
Holst, Christoph-Alexander
Lohweg, Volker
author_facet Fritze, Alexander
Mönks, Uwe
Holst, Christoph-Alexander
Lohweg, Volker
author_sort Fritze, Alexander
collection PubMed
description 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.
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spelling pubmed-53758872017-04-10 An Approach to Automated Fusion System Design and Adaptation Fritze, Alexander Mönks, Uwe Holst, Christoph-Alexander Lohweg, Volker Sensors (Basel) Article 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. MDPI 2017-03-16 /pmc/articles/PMC5375887/ /pubmed/28300762 http://dx.doi.org/10.3390/s17030601 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fritze, Alexander
Mönks, Uwe
Holst, Christoph-Alexander
Lohweg, Volker
An Approach to Automated Fusion System Design and Adaptation
title An Approach to Automated Fusion System Design and Adaptation
title_full An Approach to Automated Fusion System Design and Adaptation
title_fullStr An Approach to Automated Fusion System Design and Adaptation
title_full_unstemmed An Approach to Automated Fusion System Design and Adaptation
title_short An Approach to Automated Fusion System Design and Adaptation
title_sort approach to automated fusion system design and adaptation
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375887/
https://www.ncbi.nlm.nih.gov/pubmed/28300762
http://dx.doi.org/10.3390/s17030601
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