Annular flow pattern recognition using statistical data analyses of Electrical Impedance Tomography

Polansky, J and Wang, M (2016) Annular flow pattern recognition using statistical data analyses of Electrical Impedance Tomography. In: Proceedings of the 8th World Congress on Industrial Process Tomography. 8th World Congress on Industrial Process Tomography, 26-29 Sep 2016, Iguassu Falls, Brazil. International Society for Industrial Process Tomography . ISBN 978 0 853 16349 7

Abstract

Metadata

Authors/Creators:
  • Polansky, J
  • Wang, M
Keywords: Proper orthogonal decomposition; gas-liquid flow; Annular flow; Electrical Impedance Tomography
Dates:
  • Published: 29 September 2016
  • Accepted: 26 September 2016
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Chemical & Process Engineering (Leeds)
Funding Information:
FunderGrant number
EURAMET EMRP-MSUENG58-REG2
EURAMET EMRP-MSUENG58-REG3
Depositing User: Symplectic Publications
Date Deposited: 30 Nov 2016 13:07
Last Modified: 04 Dec 2018 10:57
Published Version: https://www.isipt.org/world-congress/8/29005.html
Status: Published
Publisher: International Society for Industrial Process Tomography

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