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Design and application of a multi-modal process tomography system

Hoyle, B.S., Jia, X., Podd, F.J.W., Schlaberg, H.I., Tan, H.S., Wang, M., West, R.M., Williams, R.A. and York, T.A. (2001) Design and application of a multi-modal process tomography system. Measurement Science and Technology, 12 (8). pp. 1157-1165. ISSN 1361-6501

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Abstract

This paper presents a design and application study of an integrated multi-modal system designed to support a range of common modalities: electrical resistance, electrical capacitance and ultrasonic tomography. Such a system is designed for use with complex processes that exhibit behaviour changes over time and space, and thus demand equally diverse sensing modalities. A multi-modal process tomography system able to exploit multiple sensor modes must permit the integration of their data, probably centred upon a composite process model. The paper presents an overview of this approach followed by an overview of the systems engineering and integrated design constraints. These include a range of hardware oriented challenges: the complexity and specificity of the front end electronics for each modality; the need for front end data pre-processing and packing; the need to integrate the data to facilitate data fusion; and finally the features to enable successful fusion and interpretation. A range of software aspects are also reviewed: the need to support differing front-end sensors for each modality in a generic fashion; the need to communicate with front end data pre-processing and packing systems; the need to integrate the data to allow data fusion; and finally to enable successful interpretation. The review of the system concepts is illustrated with an application to the study of a complex multi-component process.

Item Type: Article
Copyright, Publisher and Additional Information: Copyright © 2001 IOP Publishing Ltd. This is an author produced version of a paper published in Measurement Science and Technology. This paper has been peer-reviewed but does not include the final publisher proof-corrections or journal pagination.
Keywords: multi-modal tomography, multi-sensor tomography, data fusion
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Process, Environmental and Materials Engineering (Leeds)
The University of Leeds > Faculty of Engineering (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Integrated Information Systems (Leeds)
Depositing User: Repository Officer
Date Deposited: 29 Sep 2005
Last Modified: 21 Nov 2014 11:44
Published Version: http://www.iop.org/Journals/mt
Status: Published
Refereed: Yes
URI: http://eprints.whiterose.ac.uk/id/eprint/685

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