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  4. A review on fast tomographic imaging techniques and their potential application in industrial process control

A review on fast tomographic imaging techniques and their potential application in industrial process control

Citation Link: https://doi.org/10.15480/882.4266
Publikationstyp
Journal Article
Date Issued
2022-03-16
Sprache
English
Author(s)
Hampel, Uwe
Babout, Laurent
Banasiak, Robert
Schleicher, Eckhard
Soleimani, Manuchehr
Wondrak, Thomas
Vauhkonen, Marko
Lähivaara, Timo
Tan, Chao
Hoyle, Brian
Penn, Alexander
Institut
Prozessbildgebung V-10
TORE-DOI
10.15480/882.4266
TORE-URI
http://hdl.handle.net/11420/12126
Journal
Sensors
Volume
22
Issue
6
Article Number
2309
Citation
Sensors 22 (6): 2309 (2022)
Publisher DOI
10.3390/s22062309
Scopus ID
2-s2.0-85126705201
Publisher
Multidisciplinary Digital Publishing Institute (MDPI)
With the ongoing digitalization of industry, imaging sensors are becoming increasingly important for industrial process control. In addition to direct imaging techniques such as those provided by video or infrared cameras, tomographic sensors are of interest in the process industry where harsh process conditions and opaque fluids require non-intrusive and non-optical sensing techniques. Because most tomographic sensors rely on complex and often time-multiplexed excitation and measurement schemes and require computationally intensive image reconstruction, their application in the control of highly dynamic processes is often hindered. This article provides an overview of the current state of the art in fast process tomography and its potential for use in industry.
Subjects
process tomography
tomographic sensors
image reconstruction
industrial process monitoring and control
DDC Class
600: Technik
620: Ingenieurwissenschaften
Funding Organisations
European Union
More Funding Information
This research was funded in part by the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 764902.
Lizenz
https://creativecommons.org/licenses/by/4.0/
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