Int. J. Simul. Multidisci. Des. Optim.
Volume 2, Number 2, April 2008Composite and Aircraft Materials
|Page(s)||107 - 111|
|Published online||22 May 2008|
Deconvolution of ultrasonic echoes using Bernoulli-Gaussian processes for composite materials inspection
Image and signal processing laboratory, Welding and NDT Centre, route de Dely-Ibrahim, BP 64, Chéraga, 16300 Alger, Algeria
2 University of Blida, Algeria
Corresponding author: Abs_benammar@yahoo.fr
Accepted: 29 March 2008
In this work, we present an approach of deconvolution ill-posed problems of superimposed signals in time. A priori information must be taken into account to solve this problem. The a priori information translates the physical properties of the ultrasonic signals. The defect impulse response is modelled as a Bernoulli-Gaussian sequence. Deconvolution becomes the detection problem of the optimal Bernoulli sequence and estimation of the associated complex amplitudes. A simulation study on defect detection was realised, and results were validated experimentally on Carbon fiber-reinforced polymer multi-layered composite materials (CFRP) with and without delamination defects taken from aircraft.
Key words: Ultrasonic NDE / composite materials / blind deconvolution / processes BG.
© ASMDO, EDP Sciences, 2008
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