|
DOI: 10.14489/td.2015.09.pp.010-027
Bazulin E.G., Vopilkin A.H., Tihonov D.S.
IMPROVED RELIABILITY OF ULTRASONIC INSPECTION. Part 2
(pp. 10-27)
Abstract. The article discusses methods of improving the signal-noise ratio in coherent reconstruction of reflectors image based on coherent ac-cumulation of the useful signal. The effectiveness of complex signals to improve the signal-noise ratio at low level of the useful signal was demonstrated. To reduce the level of structural noise we suggested using the echo processing techniques in order to achieve the super-resolution effect. The effectiveness of reconciliation of maximum entropy method to restore the image of reflectors on a set of echoes in the object with structural noise was demonstrated. Restoring the image of flaw by C-SAFT method reduces the impact of indirect reflections. To account for the effect of re-reflected signal between defects we proposed a technique that uses the method of least squares and the method of maximum entropy. Evaluation of the scattered field is held with the expansion of the field in the Bourne series. We also gave examples of these algorithms with the analysis of the reconstructed images.
Keywords: ultrasonic nondestructive testing, antenna arrays, prisms, dual scanning, FMC, C-SAFT, TFM, digital focusing array (DFA), structural noise, superresolution, complex signals, maximum entropy method (MEM), method of con-structing a model AR-echo spectrum and method of splitting the spectrum.
E. G. Bazulin, A. H. Vopilkin, D. S. Tikhonov
SPC “ECHO+”, Moscow, Russia. E-mail:
Данный адрес e-mail защищен от спам-ботов, Вам необходимо включить Javascript для его просмотра.
1. Bazulin E. G., Vopilkin A. Kh., Tikhonov D. S. (2015). Im-proved reliability of ultrasonic inspection. Part 1. Determine the type of discontinuity flaws during ultrasonic testing using antenna arrays. Kontrol'. Diagnostika. (8), pp. 7-22.
2. Ermolov I. N. (1981). Theory and practice of ultrasonic testing. Moscow: Mashinostroenie.
3. Levin B. R. (1960). Theory of stochastic processes and its application in radio engineering. Moscow: Sovetskoe radio.
4. Kremer I. Ia. (Ed.). (1984). Spatial-temporal signal processing. Moscow: Radio i sviaz'.
5. Vakman D. E. (1965). Sophisticated signals and the uncertainty principle in radiolocation. Moscow: Sovetskoe radio.
6. Kachanov V. K., Rappoport D. A., Mozgovoi A. V. (1990). Development of new methods of ultrasonic testing of polymer com-posites based on the use of radar signals. Defektoskopiia. (9), pp. 9-20.
7. Badalian V. G., Bazulin E. G. (1989). Using pseudorandom sequences in digital acoustic holography. Akusticheskii zhurnal. (5), pp. 784-790.
8. Sokolov I. V. (2007). Development of error-correcting methods and tools of multifunctional ultrasonic testing of complex products. PhD thesis. Мoscow.
9. Bazulin A. E., Bazulin E. G. (2009). Deconvolution of complex echo signals by the maximal entropy method in ultrasonic nondestructive testing. Akusticheskii zhurnal. (6), pp. 772-783.
10. Bazulin A. E., Bazulin E. G., Vopilkin A. Kh. et al. (2014). Using three-dimensional coherent processing in ultrasonic testing. Defektoskopiia. (2), pp. 46-65.
11. Fal'kovich S. E. (1961). Receiving radar signals on the background of fluctuation noise. Moscow: Sovetskoe radio.
12. Kartashev V. G., Kachanov V. K., Shalimova E. V. (2010). The main provisions of the theory of space-time signal processing for ultrasonic inspection of products of complex-structured materials. Defektoskopiia. (4), pp. 19-29.
13. Ermolov I. N. (1965). Choosing the optimal parameters of the echo method in ultrasonic inspection. Defektoskopiia. (6), pp. 51-61.
14. Marpl-ml. S. L. (1990). Digital spectral analysis. Moscow: Mir.
15. Bazulin E. G. (1993). Obtaining image lenses with longitudinal superresolution by multifrequency digital acoustic holograms when building AR models of the echo signals spectrums. Akusticheskii zhurnal. (2), pp. 213-222.
16. Shankar P. M. et al. (1989). Split-spectrum processing: analysis of polarity thresholding algorithm for improvement of signal-to-noise ratio and detect ability in ultrasonic signals. Ultrasonic Signals. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control. 36(1), pp. 101-108.
17. Gustafsson M. G. (1995). Towards adaptive split spectrum processing. Ultrasonics symposium proceedings. IEEE. Vol. 1, pp. 729-732.
18. Kachanov V. K., Kartashev V. G., Sokolov I. V., Turkin M. V. (2007). The problem of allocating the ultrasonic signals from the structure-borne noise in the control of products of complex-structured materials. Defektoskopiia. (9), pp. 71-86.
19. Bazulin E. G. (2013). Possibility of application of the method of maximum entropy in ultrasonic nondestructive testing in order to obtain the image of the lens on the set of echo signals. Akusticheskii zhurnal. (2), pp. 235-254.
20. Bazulin E. G. (2013). Recovery image from reflectors for the ultrasonic echo signals using the method of maximum entropy. Defektoskopiia. (1), pp. 33-60.
21. Goriunov A. A., Saskovets A. V. (1989). Inverse problems in acoustics. Moscow: Izdatel'stvo MGU.
22. Bazulin E. G. (2010). Application of maximum entropy method in ultrasonic NDT for imaging scatterers with regard to the effect of re dispersion in one-dimensional case. Akusticheskii zhurnal. (1), pp. 103-112.
23. Goncharskii A. V., Romanov S. Iu. (2012). Two approaches to the solution of coefficient inverse problems for wave equations. Zhurnal vychislitel'noi matematiki i matematicheskoi fiziki. (2), pp. 263-269.
This article is available in electronic format (PDF).
The cost of a single article is 350 rubles. (including VAT 18%). After you place an order within a few days, you will receive following documents to your specified e-mail: account on payment and receipt to pay in the bank.
After depositing your payment on our bank account we send you file of the article by e-mail.
To order articles please fill out the form below:
|
Archive
">
Разработка концепции и создание сайта - ООО «Издательский дом «СПЕКТР»