Arts of electrical impedance tomographic sensing
Author(s) -
Mi Wang,
Qiang Wang,
Bishal Karki
Publication year - 2016
Publication title -
philosophical transactions of the royal society a mathematical physical and engineering sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.074
H-Index - 169
eISSN - 1471-2962
pISSN - 1364-503X
DOI - 10.1098/rsta.2015.0329
Subject(s) - sensitivity (control systems) , electrical impedance tomography , diagonal , electrical impedance , voltage , boundary (topology) , matrix (chemical analysis) , tomography , projection (relational algebra) , iterative reconstruction , electrical resistivity tomography , computer science , tomographic reconstruction , impedance parameters , coefficient matrix , acoustics , electronic engineering , algorithm , optics , materials science , mathematics , electrical engineering , artificial intelligence , physics , engineering , electrical resistivity and conductivity , mathematical analysis , geometry , eigenvalues and eigenvectors , quantum mechanics , composite material
This paper reviews governing theorems in electrical impedance sensing for analysing the relationships of boundary voltages obtained from different sensing strategies. It reports that both the boundary voltage values and the associated sensitivity matrix of an alternative sensing strategy can be derived from a set of full independent measurements and sensitivity matrix obtained from other sensing strategy. A new sensing method for regional imaging with limited measurements is reported. It also proves that the sensitivity coefficient back-projection algorithm does not always work for all sensing strategies, unless the diagonal elements of the transformed matrix, A(T)A, have significant values and can be approximate to a diagonal matrix. Imaging capabilities of few sensing strategies were verified with static set-ups, which suggest the adjacent electrode pair sensing strategy displays better performance compared with the diametrically opposite protocol, with both the back-projection and multi-step image reconstruction methods. An application of electrical impedance tomography for sensing gas in water two-phase flows is demonstrated. This article is part of the themed issue 'Supersensing through industrial process tomography'.
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