A Specific Data Acquisition Scheme for Electrical Tomography

Cui, Ziqiang and Wang, Huaxiang and Tang, Lei and Zhang, Lifeng and Chen, Xiaoyan and Yan, Yong (2008) A Specific Data Acquisition Scheme for Electrical Tomography. In: 25th IEEE International Instrumentation and Measurement Technology Conference, 12-15th May 2008, Victoria, Vancouver Island. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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Electrical tomography techniques have been developed for monitoring the internal behavior of industrial processes. The electrical tomography offers some advantages over other tomography modalities, such as low cost, no radiation and being non-intrusive. In the past, individual data acquisition systems have been used for tomographic measurement, e.g., for ECT, ERT and EMT, most of which are in analog hardware. Generally, it is difficult to transfer these systems to other modalities. This paper presents a FPGA based data acquisition scheme, which can be used to facilitate the hardware design of electrical tomography. Improvements in system performance are achieved by implementing most functions in digital rather than analog hardware. Currently, individual ECT and ERT data acquisition systems have been used for achieving dual-modality tomography, which will result in poor hardware integration and data combination. With this scheme, multi-modality measurement techniques could be integrated into a system based on a single FPGA chip, providing effective integration. Preliminary results show that the signal to noise ratio is greater than 74dB.

Item Type: Conference or workshop item (Paper)
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA166 Instrumentation
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: J. Harries
Date Deposited: 18 Apr 2009 11:36
Last Modified: 25 Apr 2014 11:10
Resource URI: https://kar.kent.ac.uk/id/eprint/14762 (The current URI for this page, for reference purposes)
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