Abstract
In this paper we compare the effectiveness of the time, wavelet and Hilbert-Huang domain analysis of waveforms from a Non Destructive Test (NDT) equipment. The analysis of the signals from NDT systems is one of the most important activities in the recognition of the presence of possible defects that are usually associated with the presence of echoes from the defects themselves. Very often the echoes traveling back to the sensors are superimposed with the signal from the transducer. We analyze the waveforms obtained by couples of sensors in order to extract the echoes and to recognize the points were they originate. Data are obtained by a measurement campaign on a concrete wall and on masonry specimens of different texture and thickness.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Shuller, M.P.: Nondestructive testing and damage assessment of masonry structures. Prog. Struct. Engng. Mater 5, 239–251 (2003)
Cawley, P., Alleyne, D.: Practical Long Range Guided Wave Inspection - Managing Complexity. Review of Quantitative Nondestructive Evaluation 22, 22–37 (2003)
Musolino, A., Raugi, M., Tucci, M., Turcu, F.: Feasibility of Defect Detection in Concrete Structures via Ultrasonic Investigation. In: Progress in Electromagnetic Research Symposium, Prague, Czech Republic, August 27-30, 2007, pp. 371–375 (2007)
Musolino, A., Raugi, M., Tucci, M., Turcu, F.: Voids Detection in Brick Masonry Structures by Using Ultrasonic Testing. In: IEEE Ultrasonic Symp., pp. 1377–1380. New York (October 2007)
Kaltenbacher, M.: Numerical Simulation of Mechatronic Sensors and Actuators. Springer, Berlin (2004)
Graff, K.F.: Wave Motion in Elastic Solids. Oxford University Press, Oxford (1975)
Operating and technical instructions for magnetostrictive sensor (MSS) instrumentation system, mod. MsSR2020, MsSR2020D, by Sensor Systems and NDE Technology Dept., Applied Physics Division, South West Research Institute, San Antonio, Texas (December 2004)
Huang, N.E., Shen, Z., Long, S.R., Wu, M.C., Shih, H.H., Zheng, Q., Yen, N.-C., Tung, C.C., Liu, H.H.: The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. In: Proc. R. Soc., London, Ser. A, vol. 454, pp. 903–995 (1998)
Daubechies, I.: Ten Lectures on Wavelets. SIAM, Philadelphia (1992)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Musolino, A., Raugi, M., Tucci, M., Turcu, F. (2008). Time, Wavelet and Hilbert-Huang Domain Analysis of Signals from Ultrasonic Based Equipment for the Non Destructive Evaluation of Concrete and Brick Masonry Walls. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds) Computational Science and Its Applications – ICCSA 2008. ICCSA 2008. Lecture Notes in Computer Science, vol 5073. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69848-7_46
Download citation
DOI: https://doi.org/10.1007/978-3-540-69848-7_46
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-69840-1
Online ISBN: 978-3-540-69848-7
eBook Packages: Computer ScienceComputer Science (R0)