Material Damage Ultrasonic Assessment by Time-of-Flight Estimation with an Adaptive Wavelet Filter

Article Preview

Abstract:

In this paper, a new digital signal processing method for ultrasonic time-of-flight diffraction (TOFD) estimation is presented. This method is based on wavelet analysis using the Morlet mother wavelet and the least mean squares (LMS) filter. It is designed to remove noise and identify the echo starting point of the ultrasonic signal reflected from the tip of a crack. Both simulated data and experimental data obtained from a steel plate with a crack are used to demonstrate the performance of the proposed method. This method is especially useful when the properties of the ultrasonic crack signal are unknown and the noise is heavy.

You might also be interested in these eBooks

Info:

Periodical:

Materials Science Forum (Volumes 626-627)

Pages:

795-800

Citation:

Online since:

August 2009

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2009 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Joseph L. Rose, Ultrasonic waves in solid media. Cambridge University Press. (1999).

Google Scholar

[2] J. Krautkramer, and H. Krautkramer, Ultrasonic testing of materials. 4th edition Springer-Verlag (1990), pp.160-220.

Google Scholar

[3] J. P. Charlesworth and J.A.G. Temple, Engineering applications of ultrasonic time-of-flight diffraction, Research Studies Press, Taunton, England. (1989).

Google Scholar

[4] J. L. Rose, Elements of a feature-based ultrasonic inspection system. Material Evaluation v 42(2) (1982), pp.210-218.

Google Scholar

[5] L. Angrisani, A. Baccigalupi, and S.L. Moriello, A measurement method based on Kalman filtering for ultrasonic time-of-flight estimation. IEEE Transactions on Instrumentation and Measurement v 55(2) April (2006), pp.442-448.

DOI: 10.1109/tim.2006.870123

Google Scholar

[6] H. X. Chen, P.S.K. Chua and G. H. Lim, Vibration Analysis With Lifting Scheme and Generalized Cross Validation in Machinery Fault Diagnosis. Journal of Sound and Vibration 301( 3-5) Apr 3(007) P. 458-480.

DOI: 10.1016/j.jsv.2006.08.041

Google Scholar

[7] S. P. Song and P. W. Que, Wavelet based noise suppression technique and its application to ultrasonic flaw detection. Ultrasonics 44 (2006). P. 180-193.

DOI: 10.1016/j.ultras.2005.10.004

Google Scholar

[8] G. M. Zhang, C. G. Hou, Y. W. Wang and S. Y. Zhang, Optimal frequency-to-bandwidth ratio of wavelet in ultrasonic non-destructive evaluation. Ultrasonics 39 (2001). P. 13-17.

DOI: 10.1016/s0041-624x(00)00043-3

Google Scholar

[9] S. Haykin, Adaptive Filter Theory, 3rd edition, Prentice Hall, Englewood Cliff NJ (1996).

Google Scholar