Technical Diagnostics and Non-Destructive Testing, 2021, №03



2021 №03 (06)

DOI of Article 10.37434/tdnk2021.03.01

2021 №03 (02)

---

Technical Diagnostics and Non-Destructive Testing #3, 2021, pp. 7-13

Application of hilbert transform for analysis of signals of automated eddy current inspection. Part 1. Theoretical aspects of Hilbert transformation application at eddy current inspection

Yu.V. Kuts¹, V.M. Uchanin², Yu.Yu. Lysenko¹, O.E. Levchenko¹

¹National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute». 37 Peremohy Ave., 03056, Kyiv, E-mail: y.kuts@ukr.net
²G.V. Karpenko Physico-Mechanical Institute of NASU. 5 Naukova Str., 79060, Lviv, Ukraine. E-mail: vuchanin@gmail.com

A methodology of processing signals of eddy current inspection is considered, which is based on application of discrete Hilbert transform and obtained models of signal formation, prospects of application of this transformation in the static and scanning modes were opened. The possibility is shown of application of discrete Hilbert transform for determination of discrete amplitude and phase characteristics of the signal from eddy current transducer, in order to search for new deterministic and statistic characteristics, which correlate with different characteristics and parameters of the object of control. 25 Ref., 1 Tabl, 5 Fig.
Keywords: eddy current nondestructive testing, eddy current transducer, discrete Hilbert transform, discrete phase characteristic of the signal

Received: 13.08.2021

References

1. (1986) Nondestructive Testing Handbook. Vol. 4: Electromagnetic Testing (Eddy current, flux leakage and microwave nondestructive testing). Ed. by R.C. McMaster, P. McIntire, 2nd Ed. USA: American Society for NDT.
2. Uchanin, V.M. (2013) Put-on eddy current transducers of double differentiation. Lviv, Spolom [in Ukrainian].
3. Uchanin, V. (2020) Detection of the fatigue cracks initiated near the rivet holes by eddy current inspection techniques. Transact. on Aerospace Research, 1(258), 47-58. https://doi.org/10.2478/tar-2020-0010
4. Hochshild, R. (1960) Modulation analysis - a new instrument technique in eddy current testing. Nondestructive Testing, 5, 323-325.
5. Aks`onova, S., Lyubchenko, A., Uchanin, V. et al. (2005) Detection of defects in the tubes of refrigerators of locomotive diesel engines by the eddy current method. Mater. Sci., 41(5), 406-409. https://doi.org/10.1007/s11003-005-0178-7
6. Udpa, L., Udpa, S.S. (1990) Eddy current defect characterization using neural networks. Mater. Evaluation, 48(4), 342-347. https://doi.org/10.1016/0308-9126(90)90883-P
7. Abdalla, A., Faraj, M., Samsuri, F. et al. (2019) Challenges in improving the performance of eddy current testing: Review. Measurement and Control, 52(1-2), 46-64. https://doi.org/10.1177/0020294018801382
8. Eremenko, V.S., Pereedenko, A.V., Monchenko, O.V. (2012) Application of neural network technologies in NDT systems. Tekh. Diagnost. i Nerazrush. Kontrol, 1, 35-41 [in Russian].
9. Balakrishnan, S., Cacciola, M., Udpa, L., Purnachandra Rao, B., Jayakumar, T., Raj, B. (2012) Development of image fusion methodology using discrete wavelet transform for eddy current images. NDT&E International, 51, 51-57. https://doi.org/10.1016/j.ndteint.2012.06.006
10. Grman, J., Ravas, R., Syrova, L. (2001) Аpplication of wavelet transformation in eddy current testing. Measurement Sci. Review, 1(1), 21-24. https://doi.org/10.1109/IMTC.2001.928846
11. Vertiy, O.O., Uchanin, V.N. (2021) Three-dimensional visualization of the detected defects by eddy current computing tomography. Tekh. Diahnost. ta Neruiniv. Kontrol, 2 , 7-13 [in Ukrainian]. https://doi.org/10.37434/tdnk2021.02.01
12. Tian, G.Y., Sophian, A. (2005) Defect classification using a new feature for pulsed eddy current sensors. NDT&E Int., 38, 77-82. https://doi.org/10.1016/j.ndteint.2004.06.001
13. Kuts, Y., Lysenko, Y., Dugin, A. et al. (2016) Analysis of an eddy-current transducer with impulsive excitation in the nondestructive testing of cylindrical objects. Mater. Sci., 52(3), 431-437. https://doi.org/10.1007/s11003-016-9975-4
14. Lysenko, I., Eremenko, V., Kuts, Yu., Protasov, A., Uchanin, V. (2020) Advanced signal processing methods for inspection of aircraft structural materials. Transact. on Aerospace Research, 2(259), 27-35. https://doi.org/10.2478/tar-2020-0008
15. Suslov, E.F., Eremenko, V.S., Protasov, A.G., Pavlenko, Zh.O. (2016) Application of Hilbert transform for obtaining additional informative characteristics at pulsed impedance control of composite materials. Naukovi Visti NTUU KPI, 1, 117-123 [in Ukrainian]. https://doi.org/10.20535/1810-0546.2016.1.59042
16. Eremenko, V., Suslov, E., Protasov, A., Lysenko, I. (2016) Using Hilbert transform for signal processing in mechanical impedance analysis. In: Proc. of 19th World Conf. on Non- Destructive Testing (Germany, 13-17 June). https://www. ndt.net/search/docs.php3?id=19783
17. Javorskyj, I., Yuzefovych, R., Matsko, I., Kurapov, P. (2021) Hilbert transform of a periodically non-stationary random signal: Low-frequency modulation. Digital Signal Processing, 116(103113). https://doi.org/10.1016/j.dsp.2021.103113
18. Kuts, Yu.V., Shcherbak, L.M. (2004) Application of Hilbert transform in phasometry. Tekhnologicheskie Sistemy, 2, 50-55 [in Ukrainian].
19. Lyons, R. (2006) Digital signal processing. 2nd Ed. Moscow, Binom-Press [in Russian].
20. Kuts, Yu.V., Lysenko, Yu.Yu. (2011) Application of Hilbert transform for analysis of eddy current detection signals. Nauchnye Izvestiya na NTSM, 121, 22-24 [in Russian].
21. Uchanin, V.M., Ostash, O.P., Bychkov, S.A. et al. (2021) Eddy current monitoring of aluminium alloy degradation during long-term operation of aircraft. Tekh. Diahnost. ta Neruiniv. Kontrol, 1 , 3-10 [in Ukrainian]. https://doi.org/10.37434/tpwj2021.08.09
22. Teterko, A., Uchanin, V. and Gutnik, V. Improvement of the accuracy of eddy-current testing of the electric conductivity of materials and the thickness of dielectric coatings of the shells. Mater. Sci., 6, 857-865. https://doi.org/10.1007/s11003-014-9684-9
23. Uchanin, V.M. (2018) Propositions on improvement of the classification of eddy current transducers. Tekh. Diagnost. i Nerazrush. Kontrol, 2, 68-74 [in Ukrainian]. https://doi.org/10.15407/tdnk2018.02.10
24. Dolinenko, V.V., Kuts, Yu.V., Shapovalov, E.V. et al. (2017) Robotic system of non-destructive eddy-current testing of complex geometry products. The Paton Welding J., 5-6(764), 60-67. https://doi.org/10.15407/as2017.06.10
25. Kuts, Yu.V., Shcherbak, L.M. (2009) Statistical phasometry. Ternopil. Vyd-vo DTU [in Ukrainian].

---

Advertising in this issue:

---