Comparative study of defect detection in coarse grains materials

Auteurs :  Redouane DRAI, Abdessalem BENAMMAR, Mohamed KHELIL, Amar BENCHAALA
Année : 2004
Domaine : Electronique
Type : Communication
Conférence: 4th International Conference on NDE in Relation to Structural Integrity for Nuclear and Pressurised Components
Résumé en PDF :  (résumé en pdf)
Fulltext en PDF :  (.pdf)
Mots clés : Ultrasonic NDE, SSP, DWT, SNR

Résumé : 

In this work, we propose to develop on the first hand, algorithms based on Split Spectrum Processing (SSP) with Q constant method associated to "Group delay moving entropy" (GDME), on the second hand, we develop a method based on Discrete Wavelet Transform (DWT). These algorithms allow detecting and locating imperfections echoes drowned in the structural noise of materials. The investigation is performed with known defects echoes with different characteristics (position, amplitude, center frequency and bandwidth). The defect echoes frequency is varied around the frequency of the input signal in order to evaluate, by SNR calculation, the robustness of the detection method. The grain noise signal is generated first, by a simple clutter model which consider the noise, in the time domain, as the superimposed of signal coming from backscatterers in the medium and second, experimentally by a material with a coarse grains.