A Review on Fast Tomographic Imaging Techniques and Their Potential Application in Industrial Process Control

Research output: Contribution to journalReview articleContributedpeer-review

Contributors

  • Uwe Hampel - , Chair of Imaging Techniques in Energy and Process Engineering (with HZDR), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), TUD Dresden University of Technology (Author)
  • Laurent Babout - , Lodz University of Technology (Author)
  • Robert Banasiak - , Lodz University of Technology (Author)
  • Eckhard Schleicher - , Helmholtz-Zentrum Dresden-Rossendorf (HZDR) (Author)
  • Manuchehr Soleimani - , University of Bath (Author)
  • Thomas Wondrak - , Helmholtz-Zentrum Dresden-Rossendorf (HZDR) (Author)
  • Marko Vauhkonen - , University of Eastern Finland (Author)
  • Timo Lähivaara - , University of Eastern Finland (Author)
  • Chao Tan - , Tianjin University (Author)
  • Brian Hoyle - , University of Leeds (Author)
  • Alexander Penn - , Hamburg University of Technology (Author)

Abstract

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 pro-vided 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 excita-tion 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 indus-try.

Details

Original languageEnglish
Article number2309
JournalSensors
Volume22
Issue number6
Publication statusPublished - 16 Mar 2022
Peer-reviewedYes

External IDs

PubMed 35336477

Keywords

Keywords

  • Image reconstruction, Industrial process monitoring and control, Process tomography, Tomographic sensors