Aykroyd, RG orcid.org/0000-0003-3700-0816 (2018) A statistical approach to the inclusion of electrode contact impedance uncertainty in electrical tomography reconstruction. International Journal of Tomography and Simulation, 31 (1). pp. 56-67. ISSN 2319-3336
Abstract
Electrical tomography is a visualisation tool used for industrial process monitoring. The complete electrode model relates an unknown conductivity field with the measurements but also involves unknown electrode contact impedances. Here, a real data analysis shows that the contact impedances vary spatially and with time. Then, the main reconstruction process is repeated using contact impedance values drawn at random from a fitted contact impedance distribution, and a model average calculated as the final reconstruction. This additional source of variation can then be appropriately accounted for thereby preventing overly optimistic assumption in subsequent decision making.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 International Journal of Tomography & Simulation. This is an author produced version of a paper published in International Journal of Tomography & Simulation. Uploaded with permission from the publisher. |
Keywords: | Bayesian model averaging, electrical impedance tomography, finite-element method, temporal variability, uncertainty quantification |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Mathematics (Leeds) > Statistics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 24 Oct 2017 13:09 |
Last Modified: | 15 Jan 2019 01:38 |
Status: | Published |
Publisher: | CESER Publications |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:122974 |