A Review on Fast Tomographic Imaging Techniques and Their Potential Application in Industrial Process Control
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 proce...
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MDPI AG
2022-03-01
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Online Access: | https://www.mdpi.com/1424-8220/22/6/2309 |
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author | Uwe Hampel Laurent Babout Robert Banasiak Eckhard Schleicher Manuchehr Soleimani Thomas Wondrak Marko Vauhkonen Timo Lähivaara Chao Tan Brian Hoyle Alexander Penn |
author_facet | Uwe Hampel Laurent Babout Robert Banasiak Eckhard Schleicher Manuchehr Soleimani Thomas Wondrak Marko Vauhkonen Timo Lähivaara Chao Tan Brian Hoyle Alexander Penn |
author_sort | Uwe Hampel |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-09T12:39:33Z |
format | Article |
id | doaj.art-1a367aff7bd04102b8c368a915d96be4 |
institution | Directory Open Access Journal |
issn | 1424-8220 |
language | English |
last_indexed | 2024-03-09T12:39:33Z |
publishDate | 2022-03-01 |
publisher | MDPI AG |
record_format | Article |
series | Sensors |
spelling | doaj.art-1a367aff7bd04102b8c368a915d96be42023-11-30T22:19:09ZengMDPI AGSensors1424-82202022-03-01226230910.3390/s22062309A Review on Fast Tomographic Imaging Techniques and Their Potential Application in Industrial Process ControlUwe Hampel0Laurent Babout1Robert Banasiak2Eckhard Schleicher3Manuchehr Soleimani4Thomas Wondrak5Marko Vauhkonen6Timo Lähivaara7Chao Tan8Brian Hoyle9Alexander Penn10Institute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328 Dresden, GermanyInstitute of Applied Computer Science, Lodz University of Technology, Stefanowski 18, 90-937 Lodz, PolandInstitute of Applied Computer Science, Lodz University of Technology, Stefanowski 18, 90-937 Lodz, PolandInstitute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328 Dresden, GermanyEngineering Tomography Lab (ETL), Electronic and Electrical Engineering, University of Bath, Bath BA2 7AY, UKInstitute of Fluid Dynamics, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328 Dresden, GermanyDepartment of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, FinlandDepartment of Applied Physics, University of Eastern Finland, P.O. Box 1627, 70211 Kuopio, FinlandTianjin Key Laboratory of Process Measurement and Control, School of Electrical and Information Engineering, Tianjin University, Tianjin 300072, ChinaSchool of Chemical and Process Engineering, University of Leeds, Leeds LS2 9JT, UKInstitute of Process Imaging, Hamburg University of Technology, Denickestraße 17, 21073 Hamburg, GermanyWith 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.https://www.mdpi.com/1424-8220/22/6/2309process tomographytomographic sensorsimage reconstructionindustrial process monitoring and control |
spellingShingle | Uwe Hampel Laurent Babout Robert Banasiak Eckhard Schleicher Manuchehr Soleimani Thomas Wondrak Marko Vauhkonen Timo Lähivaara Chao Tan Brian Hoyle Alexander Penn A Review on Fast Tomographic Imaging Techniques and Their Potential Application in Industrial Process Control Sensors process tomography tomographic sensors image reconstruction industrial process monitoring and control |
title | A Review on Fast Tomographic Imaging Techniques and Their Potential Application in Industrial Process Control |
title_full | A Review on Fast Tomographic Imaging Techniques and Their Potential Application in Industrial Process Control |
title_fullStr | A Review on Fast Tomographic Imaging Techniques and Their Potential Application in Industrial Process Control |
title_full_unstemmed | A Review on Fast Tomographic Imaging Techniques and Their Potential Application in Industrial Process Control |
title_short | A Review on Fast Tomographic Imaging Techniques and Their Potential Application in Industrial Process Control |
title_sort | review on fast tomographic imaging techniques and their potential application in industrial process control |
topic | process tomography tomographic sensors image reconstruction industrial process monitoring and control |
url | https://www.mdpi.com/1424-8220/22/6/2309 |
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