Ultrasonic and Advanced Methods for Nondestructive Testing and Material Characterization

Part 3: Signal and Image Processing in NDE

Chapter List

Chapter 21: Computational Intelligence Methodologies for Non Destructive Testing/Evaluation Applications
Chapter 22: Split Spectrum Processing and Automatic Flaw Detection
Chapter 23: An Application of the EM Algorithm to Thickness Estimation of Thin Layered Materials
Chapter 24: Homomorphic Deconvolution of Ultrasonic Images
Chapter 25: Frequency-Wavenumber Domain Filtering for Improved Damage Visualization
Chapter 26: Recent Advanced Signal Processing Methods for Waveform-Based NDE Methods
Chapter 27: A Robust Algorithm for Nondestructive Testing of Weld Seams

Overview

M. Cacciola, F. C. Morabito, and M. Versaci [*]

Via Graziella Feo di Vito, 89100 Reggio Calabria (RC), Italy, { matteo.cacciola, morabito, mario.versaci} @unirc.it [ ]

This chapter aims to show how some relevant industrial applications of Non Destructive Testing and Evaluation (NDT/NDE) can benefit of some recently emerged Computational Intelligence (CI) techniques. The problems under study are generally formulated as inverse problems whose typical ill-posedness and ill-conditioning (in their numerical counterpart) can be dealt with such tools like innovative signal processing techniques (i.e., Independent Component Analysis, ICA, wavelet representation, Support Vector Machines, Fuzzy Systems, Neural Networks). Some practical examples for the solution of relevant inspection problems will be discussed. The advantages of using the CI approach will be clarified and assessed on applications of NDT/NDE in both civil engineering and industrial problems.

[*]Researches described in this chapter have been mainly developed within the Project of National Relevant Interest 2004, co-funded by the Italian Ministry of University and Research, and the APEX Project in collaboration with Alenia Aeronautica SpA.

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