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

Publikation: Beitrag in FachzeitschriftÜbersichtsartikel (Review)BeigetragenBegutachtung

Beitragende

  • Uwe Hampel - , Professur für Bildgebende Messverfahren für die Energie- und Verfahrenstechnik (gB HZDR), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), Technische Universität Dresden (Autor:in)
  • Laurent Babout - , Politechnika Łódzka (Autor:in)
  • Robert Banasiak - , Politechnika Łódzka (Autor:in)
  • Eckhard Schleicher - , Helmholtz-Zentrum Dresden-Rossendorf (HZDR) (Autor:in)
  • Manuchehr Soleimani - , University of Bath (Autor:in)
  • Thomas Wondrak - , Helmholtz-Zentrum Dresden-Rossendorf (HZDR) (Autor:in)
  • Marko Vauhkonen - , University of Eastern Finland (Autor:in)
  • Timo Lähivaara - , University of Eastern Finland (Autor:in)
  • Chao Tan - , Tianjin University (Autor:in)
  • Brian Hoyle - , University of Leeds (Autor:in)
  • Alexander Penn - , Technische Universität Hamburg (Autor:in)

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

OriginalspracheEnglisch
Aufsatznummer2309
FachzeitschriftSensors
Jahrgang22
Ausgabenummer6
PublikationsstatusVeröffentlicht - 16 März 2022
Peer-Review-StatusJa

Externe IDs

PubMed 35336477

Schlagworte

Schlagwörter

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