Optimization Design on Sensing Field of Electromagnetic Tomography

Xue, Yixuan; Zhao, Shihua; Dong, Feng

doi:10.1109/chicc.2006.4347224

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…EMT is a noninvasive and contactless imaging method, it has many potential applications in industrial fields, such as industrial multiphase flow measurement, chemical abstraction, foreign material monitoring, geologic exploration and biomedical research. The technology was proposed more than ten years ago, though many researcher carried on a great deal of research work to EMT, the research of EMT technology is still at the stage of development in laboratories in China, Appling the EMT technology into practical production field is the object of many scientists [1][2][3] .…”

Section: Introductionmentioning

confidence: 99%

A Research of Electromagnetic Tomography Based on Different Parameters

Sun

Shao

2013

AMR

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Electromagnetic tomography (EMT) is a recent imaging technique. Its purpose is to determine the distribution of electrical conductivity and magnetic permeability in a given region of interest. EMT is based on the principle of electromagnetic induction. This distribution is computed from the measurements of the induced voltages at several coils placed around the region which are produced by the application of different excitation patterns . Usually images are obtained through inversion of the projection data. The paper represents a fundamental investigation of the potential of using electromagnetic measurements for industrial tomography application. This paper concentrates on image reconstruction of either electrically conducting material or magnetically permeable materials. Finally a number of potential industrial applications for the EMT technique are discussed.

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Section: Introductionmentioning

confidence: 99%

A Research of Electromagnetic Tomography Based on Different Parameters

Sun

Shao

2013

AMR

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“…For example, linear back-projection (LBP) algorithm is linear. Newto-Raphson is commonly simple approximate non-linear problem [7] . For many methods certain assumption must be exist mostly, and there were derivate non-strictly, having defects in theory.…”

Section: ) Introductionmentioning

confidence: 99%

Electromagnetic tomography based on finite element method and improved genetic algorithm

Li¹,

Pan²,

Zhang³

et al. 2009

2009 International Conference on Industrial Mechatronics and Automation

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Mathematical model of electromagnetic tomography based on Maxwell equations is established. Finite element method is adopted to solve forward problem. In the process of inverse problem, improved genetic algorithm is used to realize image reconstruction and simulated with MATLAB. The simulation results show that it is effective and feasible to adopt finite element method and improved genetic algorithm in electromagnetic tomography. Keywords-finite element method; genetic algorithm(GA); electromagnetic tomography(EMT); image reconstruction

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Optimization Design on Sensing Field of Electromagnetic Tomography

Cited by 2 publications

References 5 publications

A Research of Electromagnetic Tomography Based on Different Parameters

A Research of Electromagnetic Tomography Based on Different Parameters

Electromagnetic tomography based on finite element method and improved genetic algorithm

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