Reconstruction of Electrophysical Parameter Distribution During Eddy Current Measurements of Structural Features of Planar Metal Objects

1 Hampton, J., Fletcher, A., Tesfalem, H., Peyton, A., & Brown, M. (2022). A Comparison of Non-linear Optimisation Algorithms for Recovering the Conductivity Depth Profile of an Electrically Conductive Block Using Eddy Current Inspection. NDT & E International, 125, 102571. Search in Google Scholar

2 Cui, Z., Wang, Q., Xue, Q., Fan, W., Zhang, L., Cao, Z., ... & Yang, W. (2016). A Review on Image Reconstruction Algorithms for Electrical Capacitance/Resistance Tomography. Sensor Review, 36 (4), 429–445. Search in Google Scholar

3 Xia, Z., Huang, R., Chen, Z., Yu, K., Zhang, Z., Salas-Avila, J. R., & Yin, W. (2022). Eddy Current Measurement for Planar Structures. Sensors, 22 (22), 8695. Search in Google Scholar

4 Tesfalem, H., Hampton, J., Fletcher, A. D., Brown, M., & Peyton, A. J. (2021). Electrical Resistivity Reconstruction of Graphite Moderator Bricks from Multi-Frequency Measurements and Artificial Neural Networks. IEEE Sensors Journal, 21 (15), 17005–17016. Search in Google Scholar

5 Lu, M. (2018). Forward and Inverse Analysis for Non-destructive Testing Based on Electromagnetic Computation Methods. The University of Manchester (United Kingdom). Search in Google Scholar

6 Liu, G. R., & Han, X. (2003). Computational Inverse Techniques in Nondestructive Evaluation. CRC press. Search in Google Scholar

7 Jiang, P., Zhou, Q., Shao, X., Jiang, P., Zhou, Q., & Shao, X. (2020). Surrogate-Model-Based Design and Optimization (pp. 135–236). Springer Singapore. Search in Google Scholar

8 Zhang, J., Yuan, M., Xu, Z., Kim, H. J., & Song, S. J. (2015). Analytical Approaches to Eddy Current Nondestructive Evaluation for Stratified Conductive Structures. Journal of Mechanical Science and Technology, 29, 4159–4165. Search in Google Scholar

9 Lei, Y. Z. (2018). General Series Expression of Eddy-Current Impedance for Coil Placed above Multi-Layer Plate Conductor. Chinese Physics B, 27 (6), 060308. Search in Google Scholar

10 Bowler, N. (2019). Eddy-Current Nondestructive Evaluation. New York: Springer. Search in Google Scholar

11 Uzal, E. (1992). Theory of Eddy Current Inspection of Layered Metals. Iowa State University. Search in Google Scholar

12 Theodoulidis, T. P., & Kriezis, E. E. (2006). Eddy Current Canonical Problems (with Applications to Nondestructive Evaluation). 107503116 Search in Google Scholar

13 Trembovetska, R., Halchenko, V., & Bazilo, C. (2022, June). Inverse multi-parameter identification of plane objects electrophysical parameters profiles by eddy-current method. In International Conference on Smart Technologies in Urban Engineering (pp. 202–212). Cham: Springer International Publishing. Search in Google Scholar

14 Halchenko, V., Trembovetska, R., Bazilo, C., & Tychkova, N. (2022, June). Computer simulation of the process of profiles measuring of objects electrophysical parameters by surface eddy current probes. In International Scientific-Practical Conference “Information Technology for Education, Science and Technics” (pp. 411–424). Cham: Springer Nature Switzerland. Search in Google Scholar

15 Dodd, C. V., & Deeds, W. E. (1975). Calculation of Magnetic Fields from Time-Varying Currents in the Presence of Conductors (No. ORNL-TM-4958). Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States). Search in Google Scholar

16 Philippe, A. (1969). Contrôle non destructif par courants de Foucault. Contribution à l’étude de l’influence de la forme des sondes bobinées sur la distribution spatiale de’induction magnétique. EUR 4284. Search in Google Scholar

17 Kawashima, K. (1975). Electromagnetic Ultrasonic Transducer (No. ORNL-5063). Oak Ridge National Lab (ORNL), Oak Ridge, TN (United States). Search in Google Scholar

18 Halchenko, V., Trembovetska, R., Tychkov, V., & Tychkova, N. (2023). Construction of Quasi-DOE on Sobol’s Sequences with Better Uniformity 2D Projections. Applied Computer Systems, 28 (1), 21–34. Search in Google Scholar

19 Wang, Y., Sun, F., & Xu, H. (2022). On Design Orthogonality, Maximin Distance, and Projection Uniformity for Computer Experiments. Journal of the American Statistical Association, 117 (537), 375–385. Search in Google Scholar

20 Fang, K., Liu, M. Q., Qin, H., & Zhou, Y. D. (2018). Theory and Application of Uniform Experimental Designs (Vol. 221). Singapore: Springer. Search in Google Scholar

21 Ping, H., Lin, D. K., Min-Qian, L., Qingsong, X., & Yongdao, Z. (2020). Theory and Application of Uniform Designs. Scientia Sinica Mathematica, 50 (5). Search in Google Scholar

22 Halchenko, V. Y., Yakimov, A. N., & Ostapuschenko, D. L. (2010). Global Optimum Search of Functions with Using of Multiagent Swarm Optimization Hybrid with Evolutional Composition Formation of Population. Information Technology, 10, 9–16. Search in Google Scholar

23 Halchenko, V. Y., Trembovetska, R. V., Tychkov, V. V., & Storchak, A. V. (2019). Nonlinear Surrogate Synthesis of the Surface Circular Eddy Current Probes. Przegląd elektrotechniczny, 9, 76–82. Search in Google Scholar

24 Kuznetsov, B., Bovdui, I., & Nikitina, T. (2021, February). Optimal design of system of active shielding of magnetic field generated by overhead power lines. In 2021 IEEE 16th International Conference on the Experience of Designing and Application of CAD Systems (CADSM) (pp. 1–4). IEEE. Search in Google Scholar

25 Koshevoy, N. D., & Beliaieva, A. A. (2017). Application of Particle Swarm Optimization of Composite Second Order Plans. Radioelectronic and Computer Systems, 1, 69–75. Search in Google Scholar

26 Géron, A. (2022). Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow. O’Reilly Media, Inc. Search in Google Scholar

27 Wang, J., Zhou, J., & Chen, X. (2022). Data-Driven Fault Detection and Reasoning for Industrial Monitoring. Springer Nature. Search in Google Scholar

28 Géron, A. (2017). Deep Learning avec TensorFlow. Dunod. Search in Google Scholar

29 Raschka, S. (2017). Machine Learning. Packt. Search in Google Scholar

30 Galchenko, V. Y., Koshevoy, N. D., & Trembovetskaya, R. V. (2022). Homogeneous Plans of Multi-Factory Experiments on Quasi-Random R-Roberts Sequences for Surrogate Modeling in a Vortex Style Structuroscopy. Radio Electronics, Computer Science, Control, 62 (3), 22–30. Search in Google Scholar

31 Halchenko, V. Y., Trembovetska, R., & Tychkov, V. (2021). Surrogate Synthesis of Frame Eddy Current Probes with Uniform Sensitivity in the Testing Zone. Metrology and Measurement Systems, 28 (3). Search in Google Scholar

32 Halchenko, V. Y., Trembovetska, R. V., & Tychkov, V. V. (2021). Surrogate Synthesis of Excitation Systems for Frame Tangential Eddy Current Probes. Archives of Electrical Engineering, 70 (4), 743–757. Search in Google Scholar