An AST-ELM Method for Eliminating the Influence of Charging Phenomenon on ECT

Electrical capacitance tomography (ECT) is a promising imaging technology of permittivity distributions in multiphase flow. To reduce the effect of charging phenomenon on ECT measurement, an improved extreme learning machine method combined with adaptive soft-thresholding (AST-ELM) is presented and studied for image reconstruction. This method can provide a nonlinear mapping model between the capacitance values and medium distributions by using machine learning but not an electromagnetic-sensitive mechanism. Both simulation and experimental tests are carried out to validate the performance of the presented method, and reconstructed images are evaluated by relative error and correlation coefficient. The results have illustrated that the image reconstruction accuracy by the proposed AST-ELM method has greatly improved than that by the conventional methods under the condition with charging object.

[1]  Shien Hui,et al.  A high-accuracy, high-speed interface circuit for differential-capacitance transducer , 2006 .

[2]  Hongming Zhou,et al.  Extreme Learning Machine for Regression and Multiclass Classification , 2012, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

[3]  T. Sasaki,et al.  Static electrification phenomena in pneumatic transportation of coal , 1989 .

[4]  Lin Li,et al.  An extreme learning machine combined with Landweber iteration algorithm for the inverse problem of electrical capacitance tomography , 2015 .

[5]  Christopher E. Zuccarelli,et al.  Toward Multiphase Flow Decomposition Based on Electrical Capacitance Tomography Sensors , 2017, IEEE Sensors Journal.

[6]  Maurice Beck,et al.  REVIEW ARTICLE: Electronic transducers for industrial measurement of low value capacitances , 1988 .

[7]  Fatin Aliah Phang,et al.  Single-Plane Dual-Modality Tomography for Multiphase Flow Imaging by Integrating Electrical Capacitance and Ultrasonic Sensors , 2017, IEEE Sensors Journal.

[8]  Tomasz Dyakowski,et al.  Applications of electrical tomography for gas-solids and liquid-solids flows : a review , 2000 .

[9]  Feifei Fu,et al.  Effects of particle charging on electrical capacitance tomography system , 2012 .

[10]  Yong Yan,et al.  Concentration measurement of biomass/coal/air three-phase flow by integrating electrostatic and capacitive sensors , 2012 .

[11]  Manuchehr Soleimani,et al.  Image reconstruction for electrical capacitance tomography by using soft-thresholding iterative method with adaptive regulation parameter , 2013 .

[12]  Helena Geirinhas Ramos,et al.  Automatic parameter selection for Tikhonov regularization in ECT Inverse problem , 2016 .

[13]  Jiamin Ye,et al.  Investigation of gas–solids flow in a circulating fluidized bed using 3D electrical capacitance tomography , 2016 .

[14]  Robert Banasiak,et al.  Study on two-phase flow regime visualization and identification using 3D electrical capacitance tomography and fuzzy-logic classification , 2014 .

[15]  Shuji Matsusaka,et al.  Bipolar charge distribution of a mixture of particles with different electrostatic characteristics in gas–solids pipe flow , 2003 .

[16]  Adrian G. Bailey,et al.  Charging of Solids and Powders , 1993 .

[17]  Chee Kheong Siew,et al.  Extreme learning machine: Theory and applications , 2006, Neurocomputing.

[18]  Wuqiang Yang,et al.  Prior-online iteration for image reconstruction with electrical capacitance tomography , 2004 .

[19]  Bin Zhou,et al.  Image reconstruction in electrostatic tomography using a priori knowledge from ECT , 2011 .

[20]  Wuqiang Yang,et al.  Role of tomography in gas/solids flow measurement , 2000 .

[21]  Ming Kong,et al.  Influence of particle electrification on AC-based capacitance measurement and its elimination , 2015 .

[22]  Liang-Shih Fan,et al.  A Multimodal Tomography System Based on ECT Sensors , 2007, IEEE Sensors Journal.

[23]  Toshikazu Ohkubo,et al.  Electrification of a pipe wall during powder transport , 1995 .

[24]  Shuji Matsusaka,et al.  Electrostatics of particles , 2003 .

[25]  Tomasz Dyakowski,et al.  Application of electrical capacitance tomography for measurement of gas-solids flow characteristics in a pneumatic conveying system , 2001 .

[26]  Wuqiang Yang,et al.  Application of electrical capacitance tomography in particulate process measurement – A review , 2014 .

[27]  Huaxiang Wang,et al.  A review on image reconstruction algorithms for electrical capacitance/resistance tomography , 2016 .