Introduction of Electromagnetic Tomography
As one of electrical process tomography techniques, Electromagnetic Tomography (EMT) has the unique advantage that it employs magnetic inductance measurements to extract tomographic data related to permeability and conductivity distributions. So EMT techniques can be used in the industrial process monitoring in situations where the object material contains high contrasts in conductivity and/or permeability. These applications include tracking of ferrite labeled powder in transport separation process, foreign body detection and location, food inspection and fault detection of metal components. Although the resolution of reconstruct images in EMT is not as high as X-ray Computerized Tomography (CT), it is accurate enough for some monitoring application systems which only require coarse image information. Recent years, EMT application system such as steel flow visualization system has been developed and brought obvious improvement for the inspection of steel production process.
Liu, Z., Li, W., Xue, F., Xiafang, J., Bu, B., Yi, Z., Electromagnetic Tomography Rail Defect Inspection, IEEE Transactions on Magnetics, Year: 2015, Volume: 51, Issue: 10, DOI: http://dx.doi.org/10.1109/TMAG.2015.2430283 [SCI]
Z. Liu, G. Yang, N. He, and X. Tan, “Landweber iterative algorithm based on regularization in electromagnetic tomography for multiphase flow measurement,” Flow Measurement and Instrumentation, vol. 27, pp. 53-58, 2012. https://doi.org/10.1016/j.flowmeasinst.2012.04.011 [SCI]
J Xiao, Z Liu, P Zhao, Y Li, J Huo, Deep Learning Image Reconstruction Simulation for Electromagnetic Tomography, IEEE Sensors Journal 18 (8), 3290-3298, 2018, DOI: http://dx.doi.org/10.1109/JSEN.2018.2809485 [SCI]
Z. Liu, W. Yin, and X. Sun, "Design of Electromagnetic Tomography system based on integrated impedance analyzer." 2009 IEEE Instrumentation and Measurement Technology Conference (I2MTC), p 1721-4, 2009. DOI: http://dx.doi.org/10.1109/IMTC.2009.5168734