Article | REF: R1403 V1

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

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


Français

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.

SCROLL TO TOP

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...

You do not have access to this resource.

Exclusive to subscribers. 97% yet to be discovered!

You do not have access to this resource.
Click here to request your free trial access!

Already subscribed? Log in!


The Ultimate Scientific and Technical Reference

A Comprehensive Knowledge Base, with over 1,200 authors and 100 scientific advisors
+ More than 10,000 articles and 1,000 how-to sheets, over 800 new or updated articles every year
From design to prototyping, right through to industrialization, the reference for securing the development of your industrial projects

This article is included in

Non-destructive testing

This offer includes:

Knowledge Base

Updated and enriched with articles validated by our scientific committees

Services

A set of exclusive tools to complement the resources

Practical Path

Operational and didactic, to guarantee the acquisition of transversal skills

Doc & Quiz

Interactive articles with quizzes, for constructive reading

Subscribe now!

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