Improving Hilbert Huang and Wavelet Transforms for Ultrasonic Signals Characterisation

Toufik Bouden¹, Hassina Merdjana², Fares Djerfi³, Samira Dib⁴, Mokhtar Nibouche⁵

University of Jijel and University of the West of England, Bristol

Abstract

In Non Destructive Testing, defect detection is affected by noise and/or overlapping of reflected signals in thin samples. Thus, it is necessary to enhance visibility and resolution of defects echoes by signal processing techniques. The proposed methods are Wavelet and Wiener-Ville Transforms. They are tested on real ultrasound signals, collected from an experimentation using the technique pulse-echo immersion in longitudinal direction, for cement paste and mortar.

Good results are obtained confirming the robustness of the proposed methods on detection/localization of defects in materials and demonstrating the feasibility, simplicity and effectiveness of these methods.

Keywords

• Detection of defects, NDT, ultrasonic signals

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Cite this Article as Follows

Toufik Bouden, Hassina Merdjana, Fares Djerfi, Samira Dib, Mokhtar Nibouche. Improving Hilbert Huang and Wavelet Transforms for Ultrasonic Signals Characterisation. International Conference on Nanoelectronics, Communications and Renewable Energy 2013. Vol. 1. Chennai: Association of Scientists, Developers and Faculties, 2013. 105-110. Print.