Russian Journal of Nondestructive Testing

, Volume 49, Issue 6, pp 301–308 | Cite as

Comparative classification of flaws using ultrasonic-tomography methods and evaluation of the instantaneous frequency of echo signals

Acoustic Methods


The results of the visualization of artificial reflectors of different shapes and a natural flaw of the faulty-fusion type in the bottom run are presented. The results of the evaluation of the instantaneous frequency, which is proposed as an additional informative index for shape classification of flaws, are presented for the same reflectors. A comparative analysis of the data that were obtained by these two methods was performed. The measurement results are represented in the form of B-scans for phased arrays, which provide a clear idea of the spatial location and configuration of reflectors, and in the form of diagrams of the dependences of the normalized frequency deviations for single dual transducers.


instantaneous frequency of an ultrasonic pulse normalized frequency deviation reflectors echo signals flaw shape phased antenna array B-scan 


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  1. 1.
    Shcherbinskii, V.G. and Belyi, V.E., A new informative sign of the character of flaws during ultrasonic testing, Defektoskopiya, 1975, no. 3, pp. 27–36.Google Scholar
  2. 2.
    Whittaker, I.S. and Jessop, T.J., Ultrasonic detection and measurements of defects in stainless steel, Brit. J. NDT, 1981, vol. 23, no. 6, pp. 293–303.Google Scholar
  3. 3.
    Gurvich, A.K. and Kuz’mina, L.I., Scattering indicatrices as a source of additional information on detected flaws, Defektoskopiya, 1970, no. 6, pp. 47–56.Google Scholar
  4. 4.
    Vopilkin, A.Kh., Difraktsionnye metody v ul’trazvukovom nerazrushayushchem kontrole (Diffraction Methods in Ultrasonic Nondestructive Testing), Moscow: Izd. NTO Priborprom, 1989.Google Scholar
  5. 5.
    Perevalov, S.P., Studying geometric and acoustic characteristics of erosive reflectors, Defektoskopiya, 1994, no. 9, pp. 15–31.Google Scholar
  6. 6.
    Barkhatov, V.A., Application of window functions in problems of pattern recognition of ultrasonic signals, Russ. J. Nondestr. Test., 2010, no. 10, pp. 711–717.Google Scholar
  7. 7.
    Rinkevich, A.B., Perov, D.V., and Korkh, Yu.V., Laser detection of elastic waves diffraction by crack’s edge, Appl. Acoust., 2012, vol. 73, no. 8, pp. 803–808.CrossRefGoogle Scholar
  8. 8.
    Danilov, V.N. and Samokrutov, A.A., Simulation of operation of dry point contact probes in the emission regime, Russ. J. Nondestr. Test., 2003, no. 8, pp. 577–588.Google Scholar
  9. 9.
    Samokrutov, A.A. and Shevaldykin, V.G., Ultrasonic echo tomography of metal structures, Zavod. Lab., Diagn. Mater., 2007, no. 1, pp. 50–59.Google Scholar
  10. 10.
    Bazulin, E.G., Reconstruction of flaw images by the C-SAFT method from echo signals measured by an antenna array in the triple-scanning mode, Russ. J. Nondestr. Test., 2012, no. 1, pp. 1–14.Google Scholar
  11. 11.
    Perov, D.V., Rinkevich, A.B., and Nemytova, O.V., Interaction of pulse ultrasonic signals with reflectors of different types, Russ. J. Nondestr. Test., 2007, no. 6, pp. 369–377.Google Scholar
  12. 12.
    Vainshtein, L.A. and Vakman, D.E., Razdelenie chastot v teorii kolebanii i voln (Frequency Splitting in the Theory of Vibrations and Waves), Moscow: Nauka, 1983.Google Scholar
  13. 13.
    Rinkevich, A.B., Nemytova, O.V., and Perov, D.V., Comparison of frequency features of pulse echoes from different reflectors, ISRN Mech. Eng., 2011, p. 371514.Google Scholar
  14. 14.
    Perov, D.V. and Rinkevich, A.B., Using wavelets for analyzing ultrasonic fields detected by a laser interferometer. Basic concepts of the wavelet analysis, Russ. J. Nondestr. Test., 2001, no. 12, pp. 879–888.Google Scholar
  15. 15.
    Perov, D.V., Rinkevich, A.B., Smorodinskii, Ya.G., and Keller, B., Using wavelets for analyzing ultrasonic fields detected by a laser interferometer. Flaw detection and localization in an aluminum single-crystal, Russ. J. Nondestr. Test., 2001, no. 12, pp. 889–899.Google Scholar
  16. 16.
    Rinkevich, A.B. and Perov, D.V., A wavelet analysis of acoustic fields and signals in ultrasonic flaw detection, Russ. J. Nondestr. Test., 2005, no. 2, pp. 93–101.Google Scholar
  17. 17.
    Nemytova, O.V., Rinkevich, A.B., and Perov, D.V., Instantaneous frequency estimation used for the classification of echo signals from different reflectors, Russ. J. Nondestr. Test., 2012, no. 11, pp. 649–661.Google Scholar
  18. 18.
    Danilov, V.N., Estimating the parameters of signals observed during ultrasonic testing of a cylindrical article with a normal probe on the end surface, Russ. J. Nondestr. Test., 2005, no. 2, pp. 102–114.Google Scholar
  19. 19.
    Perov, D.V. and Rinkevich, A.B., Acoustic pulse signal diffraction from different reflectors in an elastic medium, Insight, 2008, vol. 50, no. 4, pp. 216–217.CrossRefGoogle Scholar
  20. 20.
    Perov, D.V., Rinkevich, A.B., and Nemytova, O.V., Approximate analysis of frequency parameters of pulse excitation of a receiving transducer with a circular aperture by a wave with a curvilinear wave front, in Tez. dokl. XXV sessii Rossiiskogo akusticheskogo obshchestva (Proc. XXV session of the Russian Acoustic Society), Moscow: GEOS, 2012, vol. 1, pp. 216–219.Google Scholar

Copyright information

© Pleiades Publishing, Ltd. 2013

Authors and Affiliations

  • O. V. Nemytova
    • 1
  • A. B. Rinkevich
    • 1
  • D. V. Perov
    • 1
  1. 1.Institute of Metal Physics, Ural DivisionRussian Academy of SciencesYekaterinburgRussia

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