Reconstruction of Metal Defect Images Based on the Sensitivity Matrix of High Conductivity Initial Estimate for Eddy Current Tomography
Bibliographic record
Abstract
No abstract is available for this record. The assistant can identify its topic from the title, but cannot infer the study’s results.
Source: Not provided · Quality: missing
Research context
OpenAlex topics: Non-Destructive Testing Techniques · Electrical and Bioimpedance Tomography · Ultrasonics and Acoustic Wave Propagation
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (34)
Show source-provided references
1. Yu, X., Zhang, W., Qiu, Z., Chen, G., Qin, F.: Differential excitation eddy current sensor testing for aircraft engine blades defect. J. B. Univ. Aeronaut. Astronaut. 41(9), 1582–1588 (2015) https://doi.org/10.13700/j.bh.1001-5965.2014.0639
2. Su, Z., Ventre, S., Udpa, L., Tamburrino, A.: Monotonicity based imaging method for time-domain eddy current problems. Inverse Probl. 33(12), 125007 (2017). https://doi.org/10.1088/1361-6420/aa909a10.1088/1361-6420/aa909a ↗
3. Wang, R., Bao, B., Wang, W., Zhang, M., Liu, L., Song, K.a.: Research on remote-field eddy current focusing method for detecting hidden defects in aircraft riveted components. J. Nonestruct. Eval. 42(4), 95 (2023) https://doi.org/10.1007/s10921-023-01011-210.1007/s10921-023-01011-2 ↗
4. Xiao, Z., Li, X., Ma, Z.: Crack locating in high conductivity plate based on planar array pect. In: 2023 42st Chinese Control Conference (CCC), pp. 3199–3204 (2023). https://doi.org/10.23919/CCC58697.2023.1024072910.23919/CCC58697.2023.10240729 ↗
5. Huang, P., Li, Z., Pu, H., Jia, J., Liu, K., Xu, L., Xie, Y.: Conductivity measurement of non-magnetic material using the phase feature of eddy current testing. J. Nonestruct. Eval. 42(2), 50 (2023). https://doi.org/10.1007/s10921-023-00958-610.1007/s10921-023-00958-6 ↗
6. Ricci, M., Silipigni, G., Ferrigno, L., Laracca, M., Adewale, I.D., Tian, G.Y.: Evaluation of the lift-off robustness of eddy current imaging techniques. NDT & E Int. 85, 43–52 (2017). https://doi.org/10.1016/j.ndteint.2016.10.00110.1016/j.ndteint.2016.10.001 ↗
7. Wang, Y., Niu, Y., Wei, Y., Ye, C.: Multi-frequency imaging with non-linear calibration of magnetoresistance sensors for surface and buried defects inspection. NDT & E Int. 132, (2022) https://doi.org/10.1016/j.ndteint.2022.10270610.1016/j.ndteint.2022.102706 ↗
8. Park, J.W., Lee, T.G., Back, I.C., Park, S.J., Seo, J.M., Choi, W.J., Kwon, S.G.: Rail surface defect detection and analysis using multi-channel eddy current method based algorithm for defect evaluation. J. Nonestruct. Eval. 40(3), 83 (2021). https://doi.org/10.1007/s10921-021-00810-910.1007/s10921-021-00810-9 ↗
9. Rubinacci, G., Tamburrino, A., Ventre, S.: Regularization and numerical optimization of a fast eddy current imaging method. IEEE Trans. Mag. 42(4), 1179–1182 (2006). https://doi.org/10.1109/TMAG.2006.87247710.1109/TMAG.2006.872477 ↗
10. Tamburrino, A., Calvano, F., Ventre, S., Rubinacci, G.: Non-iterative imaging method for experimental data inversion in eddy current tomography. NDT & E Int. 47, 26–34 (2012). https://doi.org/10.1016/j.ndteint.2011.11.01310.1016/j.ndteint.2011.11.013 ↗
11. Nowak, P., Szewczyk, R., Ostaszewska-Lizewska, A.: Inverse transformation in eddy current tomography with continuous optimization of reference defect parameters. Materials 14(17), (2021) https://doi.org/10.3390/ma1417477810.3390/ma14174778 ↗
12. He, D.F., Shiwa, M., Jia, J.P., Takatsubo, J., Moriya, S.: Multi-frequency ECT with AMR sensor. NDT & E Int. 44(5), 438–441 (2011). https://doi.org/10.1016/j.ndteint.2011.04.00410.1016/j.ndteint.2011.04.004 ↗
13. Premel, D., Mohammad-Djafari, A.: Eddy current tomography in cylindrical geometry. IEEE Trans. Mag. 31(3), 2000–2003 (1995). https://doi.org/10.1109/20.37643510.1109/20.376435 ↗
14. Griffiths, H.: Magnetic induction tomography. Meas. Sci. Technol. 12(8), 1126–1131 (2001). https://doi.org/10.1088/0957-0233/12/8/31910.1088/0957-0233/12/8/319 ↗
15. Zaoui, A., Menana, H., Feliachi, M., Abdellah, M.: Generalization of the ideal crack model for an arrayed eddy current sensor. IEEE Trans. Mag. 44(6), 1638–1641 (2008). https://doi.org/10.1109/TMAG.2007.91484610.1109/TMAG.2007.914846 ↗
16. Zaoui, A., Menana, H., Feliachi, M., Berthiau, G.: Inverse problem in nondestructive testing using arrayed eddy current sensors. Sensors 10(9), 8696–8704 (2010). https://doi.org/10.3390/s10090869610.3390/s100908696 ↗
17. Dingley, G., Soleimani, M.: Multi-frequency magnetic induction tomography system and algorithm for imaging metallic objects. Sensors 21(11), (2021) https://doi.org/10.3390/s2111367110.3390/s21113671 ↗
18. Merwa, R., Hollaus, K., Brunner, P., Scharfetter, H.: Solution of the inverse problem of magnetic induction tomography (MIT). Physiol. Meas. 26(2, SI), 241–250 (2005) https://doi.org/10.1088/0967-3334/26/2/02310.1088/0967-3334/26/2/023 ↗
19. Soleimani, M., Lionheart, W.R.B.: Absolute conductivity reconstruction in magnetic induction tomography using a nonlinear method. IEEE T. Med. Imaging 25(12), 1521–1530 (2006). https://doi.org/10.1109/TMI.2006.88419610.1109/TMI.2006.884196 ↗
20. Zolgharni, M., Griffiths, H., Ledger, P.D.: Frequency-difference MIT imaging of cerebral haemorrhage with a hemispherical coil array: numerical modelling. Physiol. Meas. 31(8, SI), 111–125 (2010) https://doi.org/10.1088/0967-3334/31/8/S0910.1088/0967-3334/31/8/S09 ↗
21. Ma, L., Wei, H.-Y., Soleimani, M.: Planar magnetic induction tomography for 3D near subsurface imaging. Prog. Electromagn. Res. 138, 65–82 (2013). https://doi.org/10.2528/PIER1211071110.2528/PIER12110711 ↗
22. Yin, W., Peyton, A.J.: A planar emt system for the detection of faults on thin metallic plates. Meas. Sci. Technol. 17(8), 2130–2135 (2006). https://doi.org/10.1088/0957-0233/17/8/01110.1088/0957-0233/17/8/011 ↗
23. Hollaus, K., Magele, C., Merwa, R., Scharfetter, H.: Fast calculation of the sensitivity matrix in magnetic induction tomography by tetrahedral edge finite elements and the reciprocity theorem. Physiol. Meas. 25(1), 159–168 (2004). https://doi.org/10.1088/0967-3334/25/1/02310.1088/0967-3334/25/1/023 ↗
24. Xiao, Z., Tan, C., Dong, F.: 3-D hemorrhage imaging by cambered magnetic induction tomography. IEEE Trans. Instrum. Meas. 68(7), 2460–2468 (2019). https://doi.org/10.1109/TIM.2019.290077910.1109/TIM.2019.2900779 ↗
25. Chen, Y., Dong, F., Tan, C.: Space-constrained optimized tikhonov regularization method for 3d hemorrhage reconstruction by open magnetic induction tomography. Phys. Med. Biol. 67(22) (2022) https://doi.org/10.1088/1361-6560/ac9e4210.1088/1361-6560/ac9e42 ↗
26. Zolgharni, M.: Magnetic induction tomography for imaging cerebral stroke. PhD thesis, Swansea University (2010)
27. Auld, B.A., Moulder, J.C.: Review of advances in quantitative eddy current nondestructive evaluation. J. Nonestruct. Eval. 18(1), 3–36 (1999). https://doi.org/10.1023/A:102189852062610.1023/A:1021898520626 ↗
28. Chen, Y., Tan, C., Dong, F.: Combined planar magnetic induction tomography for local detection of intracranial hemorrhage. IEEE Trans. Instrum. Meas. 70, (2021) https://doi.org/10.1109/TIM.2020.301162110.1109/TIM.2020.3011621 ↗
29. Ktistis, C., Armitage, D.W., Peyton, A.J.: Calculation of the forward problem for absolute image reconstruction in mit. Physiol. Meas. 29(6, SI), 455–464 (2008) https://doi.org/10.1088/0967-3334/29/6/S3810.1088/0967-3334/29/6/S38 ↗
30. Korjenevsky, A.V., Cherepenin, V.A.: Progress in realization of magnetic induction tomography. Ann. NY Acad. Sci. 873, 346–352 (1999). https://doi.org/10.1111/j.1749-6632.1999.tb09482.x10.1111/j.1749-6632.1999.tb09482.x ↗
31. Xiao, Z., Tan, C., Dong, F.: Effect of inter-tissue inductive coupling on multi-frequency imaging of intracranial hemorrhage by magnetic induction tomography. Meas. Sci. Technol. 28(8), (2017) https://doi.org/10.1088/1361-6501/aa750410.1088/1361-6501/aa7504 ↗
32. Xiao, Z., Ma, Z.: Upper limit frequency analysis of eddy current testing for high conductive plate. In: 2022 41st Chinese Control Conference (CCC), pp. 3020–3025 (2022). https://doi.org/10.23919/CCC55666.2022.990283710.23919/CCC55666.2022.9902837 ↗
33. Liu, X., Liu, Z.: A novel algorithm based on $$L_1$$-$$L_p$$ norm for inverse problem of electromagnetic tomography. Flow Meas. Instrum. 65, 318–326 (2019). https://doi.org/10.1016/j.flowmeasinst.2019.01.01010.1016/j.flowmeasinst.2019.01.010 ↗
34. Stephen, B., Lieven, V.: Convex Optimization, pp. 305–317. Cambridge University Press (2004)