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DOI: http://dx.doi.org/10.22266/ijies2017.0228.01

Time-Frequency Representations Adapted to the Characterization of Steels Damaged by the Environment

Author(s):

Lahcen Mountassir1*, Touriya Bassidi1, Salma Aziam1, Hassan Nounah1


Affiliations:

1 Laboratory of Metrology and Information Processing, Faculty of Science, Ibn Zohr University, Agadir, Morocco







Abstract:

This article intends to present a time-frequency representations adapted to the characterization of steels damaged by the environment. These techniques are applied for analyzing experimental acoustic signal backscattered by corroded steel immersed in water. These signals are processed using a spectrogram analysis, Pseudo Wigner-Ville Distribution PWV and continuous wavelet, whose interest is to provide a signal representation in time-frequency. The goal here is whether each pattern of representation is due to corrosion or default in the plate. The use of time-frequency representations for characterizing steels damaged by the environment proves interesting because of their ability to localize the energy of the signals in a two-dimensional plane. However, bearing in mind that these representations should check drastic properties about the studied signal, choose a representation adapted case by case. The results obtained highlight the advantage of using time-frequency representations for the study of the acoustic wave’s propagation in corroded steels.


Keywords:

Steel, Corrosion, HCl, Transmission, Reflection, Time-frequency, Ultrasound, Nondestructive testing.


Full Text:




References:
  1. G. Sposito, C. Ward, P. Cawley, P. B. Nagy & C. Scruby, "A review of non-destructive techniques for the detection of creep damage in power plant steels." Ndt & E International, Vo. 43, No. 7, pp. 555-567, 2010.
  2. CU. Grosse, M. Ohtsu, eds. "Acoustic emission testing". Springer Science & Business Media, 2008.
  3. A. Lambert, "Non-destructive ultrasonic testing." Heat treatment, Vol. 230, pp. 53-58, 1989.
  4. P.A. Schweitzer, "Metallic Materials: Physical, Mechanical, and Corrosion Properties", M. Dekker, New York, 2003.
  5. H. Zhang, R. Yang, Y. He, G. Y. Tian, L. Xu, & R. Wu, "Identification and characterisation of steel corrosion using passive high frequency RFID sensors." Measurement, Vol. 92, pp. 421-427, 2016.
  6. K. Niboucha, H. Houali, M. Zergoug, R. Halimi. "Control and characterization of corrosion by CND for the inspection of buried pipelines", Dijon, France, 2006.
  7. S. A. Neild, P. D. McFadden, and M. S. Williams. "A review of time-frequency methods for structural vibration analysis." Engineering Structures, Vol. 25, No .6, pp.713-728, 2003.
  8. P. Flandrin, "Time-frequency", Hermès, Paris, 1993.
  9. L. Cohen, "Time-frequency analysis", Prentice Hall, New York. 1995.
  10. H. M. Ozaktas, N. Erkaya, & M. A. Kutay, "Effect of fractional Fourier transformation on time-frequency distributions belonging to the Cohen class." IEEE signal processing letter. Vol. 3. No.2, pp.40-41, 1996.
  11. R. Bracewell, "The fourier transform and its applications." New York 5, 1965.
  12. R.W. Revie, H.H. Uhlig, "Corrosion and Corrosion Control: An Introduction to Corrosion Science and Engineering", fourth ed., Wiley-Interscience, Hoboken, N. J, 2008.
  13. S. Rajakarthihan, S. Kayalvizhy, and K. Gangadevi. "Ultrasonic Investigation on the Effect of Corrosion Inhibitor in Mild Steel." Journal of Pure Applied and Industrial Physics Vol. 2, No. 2, pp 84-141, 2012.
  14. Y. He, G.Y. Tian, M. Pan, D. Chen, H. Zhang, "An investigation into eddy current pulsed thermography for detection of corrosion blister", Corros. Sci. Vol. 78, pp. 1–6, 2014.
  15. A.I. Sunny, G.Y. Tian, J. Zhang, M. Pal, "Low frequency (LF) RFID sensors and selective transient feature extraction for corrosion characterisation", Sens. Actuators A: Phys. Vol. 241, pp. 34–43, 2016.
  16. D. Landolt, " Corrosion and chemical metal surfaces ". Vol. 12. PPUR polytechnic presses, 1997.
  17. W. J. Wang, P. D. McFadden, "Early detection of gear failure by vibration analysis--ii. interpretation of the time-frequency distribution using image processing techniques. " Mechanical Systems and Signal Processing, Vol. 7, No. 3, pp. 205-215, 1993.
  18. R. Latif, M. Laaboubi, E. H. Aassif, and G. Maze. "Dispersion Analysis of Acoustic Circumferential Waves Using Time-Frequency Representations." Vibration and Structural Acoustics Analysis. Springer Netherlands, pp. 183-205, 2011
  19. M. Jabloun. "signal modeling highly non-stationary phase and local amplitude polynomial", National Polytechnic Institute of Grenoble, 2007.
  20. I. Daubechies, "The wavelet transform, time-frequency localization and signal analysis." IEEE transactions on information theory, Vol. 36, No. 5, pp. 961-1005, 1990.
  21. JC. Moore, S. Jevrejev, A. Grinsted, "Application of the cross wavelet transform and wavelet coherence to geophysical time series." Nonlinear processes in geophysics, Vol. 11, No. 5/6, pp. 561-566, 2004.
  22. C. Titry. "Detection by Lamb waves, the hidden corrosion in aircraft aluminum structures ", Thesis University Paris 7, 2006.

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