Electrical Capacitance Tomography with a variable topology

In this paper we present a novel approach for Electrical Capacitance Tomography (ECT) with a variable electrode topology of the sensor front end. The topology of the ECT can be continuously varied while the reconstruction takes place. The unique combination of light weight signal processing chain with a variable dual plate planar sensor front end meets the usability and performance requirements of robotic and mobile applications. The experimental results show the feasibility of this approach achieving reconstruction results with low artefacts even with a low number of electrodes not only in the vicinity of the electrodes but also in the center of the Region of Interest (ROI). Moreover, this sensor topology can be miniaturized which eases the integration, e.g., on a robot's end effector.

[1]  R. Sakia The Box-Cox transformation technique: a review , 1992 .

[2]  Oussama Khatib,et al.  Virtual whiskers — Highly responsive robot collision avoidance , 2013, 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[3]  E. Somersalo,et al.  Statistical and computational inverse problems , 2004 .

[4]  Wuqiang Yang,et al.  A Miniature Two-Plate Electrical Capacitance Tomography Sensor , 2015, IEEE Sensors Journal.

[5]  M. S Beck,et al.  Imaging Industrial Flows: Applications of Electrical Process Tomography , 1995 .

[6]  Wuqiang Yang,et al.  Tomography for multi-phase flow measurement in the oil industry , 2005 .

[7]  H.-C. Kim,et al.  Electrical impedance tomography reconstruction algorithm using extended Kalman filter , 2001, ISIE 2001. 2001 IEEE International Symposium on Industrial Electronics Proceedings (Cat. No.01TH8570).

[8]  Manuchehr Soleimani,et al.  Nonlinear image reconstruction for electrical capacitance tomography using experimental data , 2005 .

[9]  Lihui Peng,et al.  Image reconstruction algorithms for electrical capacitance tomography , 2003 .

[10]  Brian S. Hoyle,et al.  Electrical capacitance tomography for flow imaging: system model for development of image reconstruction algorithms and design of primary sensors , 1992 .

[11]  Thomas Schlegl,et al.  A Pretouch Sensing System for a Robot Grasper Using Magnetic and Capacitive Sensors , 2013, IEEE Transactions on Instrumentation and Measurement.

[12]  Hubert Zangl,et al.  Object detection based on electrical capacitance tomography , 2015, 2015 IEEE Sensors Applications Symposium (SAS).

[13]  Ø. Isaksen,et al.  A review of reconstruction techniques for capacitance tomography , 1996 .

[14]  M. Neumayer,et al.  Current Reconstruction Algorithms in Electrical Capacitance Tomography , 2011 .

[15]  Hubert Zangl,et al.  Artefact reduction in fast Bayesian inversion in electrical tomography , 2015 .

[16]  Manuchehr Soleimani,et al.  Evaluation of planar 3D electrical capacitance tomography: From single-plane to dual-plane configuration , 2015 .