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Deconvolution of ultrasonic echoes using Bernoulli-Gaussian processes for composite materials inspection

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Int. J. Simul. Multidisci. Des. Optim. 2, 107-111 (2008) DOI: 10.1051/smdo:2008014

Deconvolution of ultrasonic echoes using Bernoulli-Gaussian processes for composite materials inspection

Abdessalem BENAMMAR, Redouane DRAI, Ahmed KECHIDA, Abderrezak GUESSOUM

Abstract

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.

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