The Study on Image Data Acquisition System for Electrical Capacitance Tomography System

Li, Yan; Jin, Tao; Meng, Xiao-Ying; Chen, Deyun; Zhang, Liyong

doi:10.1109/iciea.2007.4318686

Cited by 4 publications

(1 citation statement)

References 3 publications

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“…The advantages of ECT include economical, no radiation, non-invasive, simple to contrast and fast in response. After over two decades of development, some degree of success has been achieved in the ECT research area, such as small capacitance measuring [4,5], data acquisition circuit for capacitance measurement [6,7], image reconstruction algorithms [8][9][10], and industrial applications [11,12]. The optimization of the sensor structure is one of the most important fields in the ECT field.…”

Section: Introductionmentioning

confidence: 99%

Enhancing electrical capacitance tomographic sensor design using fuzzy theory based quantifiers

Li¹,

Yang²,

Gong³

et al. 2014

Meas. Sci. Technol.

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Electrical capacitance tomography is a non-invasive imaging technique that uses measured capacitances to recover the unknown permittivity distribution in the medium. A new method using fuzzy theory and quantifiers in enhancing the ECT sensor system design and the associated data fusion is presented. Unlike the traditional methods that set a single indicator as the optimization objective, the method presented in the paper provides a way to integrate multiple evaluation criteria (some may conflict with others) of ECT sensors into a single comparable index. The uniformity index, the correlation coefficient and combinatorial fuzzy index of ECTs are set as the optimization objectives respectively at the experimental stage to evaluate the validity of the method. The experiments are set up based on multi-index orthogonal design and the experimental results indicate that the fuzzy optimization method can derive an optimized sensor structure with an evenly distributed sensitivity field and a better imaging reconstruction result at the same time. It proves the method is intuitive, reliable, and practical.

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Section: Introductionmentioning

confidence: 99%

Enhancing electrical capacitance tomographic sensor design using fuzzy theory based quantifiers

Li¹,

Yang²,

Gong³

et al. 2014

Meas. Sci. Technol.

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Measurement and characterization of fluid flow profile using electrical capacitance tomography

Abegaz

Dick

Mahajan

2014

Ieee Southeastcon 2014

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Design of Flexible Electrical Capacitance Tomography Sensor

et al. 2015

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This paper discussed the design–functionality and application of Flexible Electrical Capacitance Tomography sensor (FlexiECT). The sensors consist of 12 electrodes allocated surrounding the outer layer of the pipeline. The sensor is designed in such that the flexibility features suit the applications in the pipeline of multiple size. This paper also discussed the preliminary result of FlexiECT applications in fluid imaging by identifying the percentage of two mixing fluids.

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The Study on Image Data Acquisition System for Electrical Capacitance Tomography System

Cited by 4 publications

References 3 publications

Enhancing electrical capacitance tomographic sensor design using fuzzy theory based quantifiers

Enhancing electrical capacitance tomographic sensor design using fuzzy theory based quantifiers

Measurement and characterization of fluid flow profile using electrical capacitance tomography

Design of Flexible Electrical Capacitance Tomography Sensor

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