Progress In Electromagnetics Research
ISSN: 1070-4698, E-ISSN: 1559-8985
Home | Search | Notification | Authors | Submission | PIERS Home | EM Academy
Home > Vol. 141 > pp. 1-15


By M. Evangelidis, L. Ma, and M. Soleimani

Full Article PDF (490 KB)

Pipelines made of dielectric materials such as Polyethylene (PE) are becoming increasingly popular. With no suitable inspection technique for dielectric pipes, there is an urgent need to develop new technology for their inspection. This paper presents a novel pipe inspection technique using Electrical Capacitance Tomography (ECT) imaging. Traditionally ECT is used for industrial process tomography as a low resolution but fast tomographic imaging technique. Typically commercial ECT can provide a resolution of approximately 10 percent of the imaging region. In this paper a limited region tomography technique is developed take into account prior knowledge about the geometry of the pipe. This has signicantly enhanced the imaging resolution of the ECT system, making it a viable pipe inspection solution. The experimental results in this study demonstrate an interior wall loss area as small as 0.195 percent of the ECT cross sectional imaging region is repeatable and can be reliably detected. A narrowband pass filter method (NPFM) is used as a means to limit the region for the ECT algorithm. This results in an unprecedented resolution, making ECT a viable non-destructive evaluation (NDE) technique for plastic pipes. The NDE application of the ECT for PE pipes is demonstrated in this paper with several experimental results. A wall loss of depth of 1.5 mm could be detected for an ECT sensor array of 150 mm in diameter, showing a high resolution and high definition ECT (HD-ECT) imaging that has not been reported before.

M. Evangelidis, L. Ma, and M. Soleimani, "High Definition Electrical Capacitance Tomography for Pipeline Inspection," Progress In Electromagnetics Research, Vol. 141, 1-15, 2013.

1. Munns, I. J. and G. A. Georgiou, "Ultrasonic and radiographic NDT of butt fusion welded polyethylene pipes," Insight, Vol. 41, No. 5, 1999.

2. Sangworasil, M., Y. Kitjaidure, C. Yossontikul, and K. Chitsajul, "An electrical capacitance tomography," Signal Processing 6th International Conference, Vol. 2, 1766-1769, 2002.

3. Liu, S., Q. Chen, X. Xiong, Z. Zhang, and J. Lei, "Preliminary study on ect imaging of flames in porous media," Measurement Science and Technology, Vol. 19, No. 9, 094017, 2008.

4. Yang, W., "Design of electrical capacitance tomography sensors," Measurement Science and Technology, Vol. 21, 13, 2010.

5. Yan, Y., T. Qiu, G. Lu, M. Hossain, G. Gilabert, and S. Liu, "Recent advances in flame tomography," Chinese Journal of Chemical Engineering, Vol. 20, No. 2, 389-399, 2012.

6. Waterfal, R. C., R. He, P. Wolanski, and Z. Gut, "Flame visualizations using electrical capacitance tomography (ECT)," Proc. SPIE 4188, Process Imaging for Automatic Control, 242-250, 2001.

7. Fan, L. S., W. Warsito, and B. Du, "Electrical capacitance tomography imaging of gas-solid and gas-liquid-solid fluidized bed systems," Journal of Visualization, Vol. 7, No. 1, 2004.

8. Qiang, L. and Z. Yingna, "Review of techniques for the mass flow rate measurement of pneumatically conveyed solids," Measurement, Vol. 44, No. 4, 589-604, 2011.

9. Huang, Z., B. Wang, and H. Li, "Application of electrical capacitance tomography to the void fraction measurement of two-phase flow," IEEE Transactions on Instrumentation and Measurement, Vol. 52, No. 1, 7-12, 2003.

10. Soleimani, M., V. Stewart, and C. Budd, "Crack detection in dielectric objects using electrical capacitance tomography imaging," Insight, Non-Destructive Testing and Condition Monitoring, Vol. 53, No. 1, 21-24, 2011.

11. Hajihashemi, M. R. and M. El-Shenawee, "Inverse scattering of three-dimensional PEC objects using the level-set method," Progress In Electromagnetics Research, Vol. 116, 23-47, 2011.

12. Ma, L. and M. Soleimani, "Electromagnetic imaging for internal and external inspection of metallic pipes," Insight, Non-Destructive Testing and Condition Monitoring, Vol. 54, No. 9, 493-495, 2012.

13. Ma, L., H. Y. Wei, and M. Soleimani, "Pipeline inspection using magnetic induction tomography based on a narrowband pass filtering method," Progress In Electromagnetics Research M, Vol. 23, 65-78, 2012.

14. Peng, L., J. Ye, G. Lu, and W. Yang, "Evaluation of effect of number of electrodes in electrical capacitance tomography sensors on image quality," IEEE Sensors Journal, 1554-565, 2011.

15. Soleimani, M., C. N. Mitchell, R. Banasiak, R. Wajman, and A. Adler, "Four-dimensional electrical capacitance tomography imaging using experimental data," Progress In Electromagnetics Research, Vol. 90, 171-186, 2009.

16. Park, W.-K., "On the imaging of thin dielectric inclusions via topological derivative concept," Progress In Electromagnetics Research, Vol. 110, 237-252, 2010.

17. Banasiak, R., R. Wajman, D. Sankowski, and M. Soleimani, "Three-dimensional nonlinear inversion of electrical capacitance tomography data using a complete sensor model," Progress In Electromagnetics Research, Vol. 100, 219-234, 2010.

18. Soleimani, M., "Numerical modeling and analysis of the forward and inverse problems in electrical capacitance tomography," International Journal of Information and System Sciences, Vol. 1, No. 1, 193-207, 2005.

19. Wei, S. J., X. L. Zhang, J. Shi, and G. Xiang, "Sparse reconstruction for SAR imaging based on compressed sensing," Progress In Electromagnetics Research, Vol. 109, 63-81, 2010.

20. Jantan, A. B., R. S. A. Raja Abdullah, R. Mahmood, S. A. AlShehri, S. Khatun, and Z. Awang, "3D experimental detection and discrimination of malignant and benign breast tumor using NN-based UWB imaging system," Progress In Electromagnetics Research, Vol. 116, 221-237, 2011.

21. Ren, S., W. Chang, T. Jin, and Z. Wang, "Automated SAR reference image preparation for navigation," Progress In Electromagnetics Research, Vol. 121, 535-555, 2011.

22. Lei, J., S. Liu, Z. H. Li, and M. Sun, "Image reconstruction algorithm based on the extended regularized total least squares method for electrical capacitance tomography," IET Sci. Meas. Technol., Vol. 2, No. 5, 326-336, 2008.

23. Zhao, J., J. Liu, Z. Li, W. Fu, and X. Li, "Image reconstruction algorithm based on updated sensitivity field for ECT," Computer Engineering and Applications, Vol. 48, No. 4, 2012.

24. Roberts, B. A. and A. C. Kak, "Reflection mode diffraction tomography," Ultrasonic Imaging, Vol. 7, No. 4, 300-320, 1985.

25. Salerno, E., "Microwave tomography of lossy objects from monostatic measurements," IEEE Transactions on Microwave Theory and Techniques, Vol. 47, No. 7, 986-994, 1999.

26. Hansen, P. C., "Rank-defficient and discrete ill-posed problems: Numerical aspects of linear inversion," Society for Industria and Applied Mathematics, Vol. 4, 1987.

27. Wei, H.-Y. and M. Soleimani, "Three-dimensional magnetic induction tomography imaging using a matrix free Krylov subspace inversion algorithm," Progress In Electromagnetics Research, Vol. 122, 29-45, 2012.

28. Wei, H.-Y. and M. Soleimani, "Two-phase low conductivity flow imaging using magnetic induction tomography," Progress In Electromagnetics Research, Vol. 131, 99-115, 2012.

29. Wei, H.-Y. and M. Soleimani, "Four dimensional reconstruction using magnetic induction tomography: Experimental study," Progress In Electromagnetics Research, Vol. 129, 17-32, 2012.

30. Cataldo, A., G. Cannazza, E. De Benedetto, and N. Giaquinto, "Experimental validation of a TDR-based system for measuring leak distances in buried metal pipes," Progress In Electromagnetics Research, Vol. 132, 71-90, 2012.

31. Xing, S., D. Dai, Y. Li, and X. Wang, "Arimetric SAR tomography using L2,1 mixed norm sparse reconstruction method," Progress In Electromagnetics Research, Vol. 130, 105-130, 2012.

32. Wang, J., Z. Zhao, J. Song, X. Zhu, Z.-P. Nie, and Q. H. Liu, "Reconstruction of microwave absorption properties in heterogeneous tissue for microwave-induced thermo-acoustic tomography," Progress In Electromagnetics Research, Vol. 130, 225-240, 2012.

33. Kuznetsov, S. A., A. G. Paulish, A. V. Gelfand, P. A. Lazorskiy, and V. N. Fedorinin, "Matrix structure of metamaterial absorbers for multispectral terahertz imaging," Progress In Electromagnetics Research, Vol. 122, 93-103, 2012.

34. Liu, Z., Q. H. Liu, C.-H. Zhu, and J. Yang, "A fast inverse polynomial reconstruction method based on conformal fourier transformation," Progress In Electromagnetics Research, Vol. 122, 119-136, 2012.

35. Chen, J., J. Gao, Y. Zhu, W. Yang, and P. Wang, "A novel image formation algorithm for high-resolution wide-swath spaceborne SAR using compressed sensing on azimuth displacement phase center antenna," Progress In Electromagnetics Research, Vol. 125, 527-543, 2012.

© Copyright 2014 EMW Publishing. All Rights Reserved