Application of time-frequency analysis in the case of ultrasonic imaging in a background of structural noise

Ultrasonic non-destructive testing of components made from austenitic steels is complicated by structural noise and the shape of intergranular stress corrosion cracks. To improve detection, characterisation of such cracks and development of the advanced signal processing techniques, the ultrasonic NDT simulation technique has been applied. The present paper describes the application of a numerical simulation and imaging technique, which enables to take into account direct, mixed and skip reflections from the internal defects of a granular structure. The NDT simulation algorithm is based on an extended diffraction model of the ultrasonic transducer. To simulate intergranular stress corrosion cracks, a fractal theory has been applied. The numerical simulation of the inspection of an austenitic steel structure with an intergranular stress corrosion crack has been performed. In the cases of SNR (signal-to-noise ratio) deviation, the time-frequency analysis based on the Hilbert-Huang transform has been applied. The results obtained by numerical simulation have been verified experimentally and good correspondence has been obtained.

[2]  José L. Muñoz-Cobo,et al.  Hilbert–Huang analysis of BWR neutron detector signals: application to DR calculation and to corrupted signal analysis , 2003 .

[3]  E. S. Furgason,et al.  Flaw-to-grain echo enhancement by split-spectrum processing , 1982 .

[4]  H. Benoit-Cattin,et al.  Application of the wavelet packet transform to flaw detection in ultrasound B-scans , 1995, 1995 IEEE Ultrasonics Symposium. Proceedings. An International Symposium.

[5]  Renaldas Raisutis The simulation of ultrasonic imaging in the case of internal defects , 2005 .

[6]  T Stepinski,et al.  Algorithms for suppressing ultrasonic backscattering from material structure. , 2002, Ultrasonics.

[7]  David A. Bradley,et al.  The use of neural networks in ultrasonic flaw detection , 1999 .

[8]  Tao Wang,et al.  Statistical evaluation of backscattered ultrasonic grain signals , 1988 .

[9]  J. C. Lázaro,et al.  Influence of thresholding procedures in ultrasonic grain noise reduction using wavelets. , 2002, Ultrasonics.

[10]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[11]  Yi-mei Mao,et al.  Application of Hilbert-Huang signal processing to ultrasonic non-destructive testing of oil pipelines , 2006 .

[12]  S. Hirsekorn Directional dependence of ultrasonic propagation in textured polycrystals , 1986 .

[13]  Jonathan W. Essex,et al.  Application of the Hilbert-Huang transform to the analysis of molecular dynamics simulations , 2003 .

[14]  A. Badidi Bouda,et al.  Grain size influence on ultrasonic velocities and attenuation , 2003 .

[15]  Emmanuel P. Papadakis,et al.  Ultrasonic Attenuation Caused by Scattering in Polycrystalline Media , 1968 .