DocumentCode :
1648539
Title :
Optimization Design on Sensing Field of Electromagnetic Tomography
Author :
Yixuan, Xue ; Shu, Zhao ; Feng, Dong
Author_Institution :
Tianjin Univ., Tianjin
fYear :
2007
Firstpage :
386
Lastpage :
390
Abstract :
Electromagnetic tomography (EMT) is one kind of tomography based on electricity sensing principle. It can reconstruct spatiotemporal distributions of the electrical conductivity and magnetic permeability materials by detecting the boundary magnetic induction of the researched space. Sensor array of EMT system has the advantages of non-invasive, non-contacting and non-hazardous and has many potential applications in industrial fields. This paper presented the fundamental principle of EMT and studied the sensing field of sensor array using the Finite element (FEM) simulation. The magnetic induction distribution of the sensing field with this excitation model has been acquired. The influence of objects with different permeability, conductivity, and positions on the excitation sensing field was analyzed. The results were verified by image reconstruction experiment.
Keywords :
electrical conductivity; electromagnetic induction; finite element analysis; magnetic permeability; sensor arrays; tomography; EMT system sensor array; FEM simulation; boundary magnetic induction; electromagnetic tomography; finite element simulation; sensor array sensing field; spatiotemporal electrical conductivity distributions; spatiotemporal magnetic permeability distributions; Conductivity; Design optimization; Electromagnetic fields; Image reconstruction; Magnetic materials; Magnetic sensors; Permeability; Sensor arrays; Spatiotemporal phenomena; Tomography; Electromagnetic Tomography; Forward Problem; Sensing Field; Simulation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference, 2007. CCC 2007. Chinese
Conference_Location :
Hunan
Print_ISBN :
978-7-81124-055-9
Electronic_ISBN :
978-7-900719-22-5
Type :
conf
DOI :
10.1109/CHICC.2006.4347224
Filename :
4347224
Link To Document :
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