Case study: NDT aid, estimating the diffusivity of a homogeneous material
Artificial intelligence tools applied to Non-Destructive Testing (NDT)
Article REF: R1403 V1
Case study: NDT aid, estimating the diffusivity of a homogeneous material
Artificial intelligence tools applied to Non-Destructive Testing (NDT)

Authors : Olivier FAUGEROUX, Stéphane GRIEU, Adama TRAORE, Jean-Luc BODNAR, Bernard CLAUDET

Publication date: June 10, 2013, Review date: July 2, 2018 | Lire en français

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4. Case study: NDT aid, estimating the diffusivity of a homogeneous material

4.1 Case study presentation

We propose to characterize homogeneous material samples based on front- or back-facing responses to an excitation with a pseudo-random time profile (a PRBS). Diffusivity will first be determined using artificial neural networks and then neuro-fuzzy systems. Estimated diffusivities are compared with reference values.

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4.1.1 Simulated data

The estimation tools used require training. It is therefore necessary to have examples, as representative as possible of the different...

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Case study: NDT aid, estimating the diffusivity of a homogeneous material

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