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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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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. |
format | Online Article Text |
id | pubmed-5375887 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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