This chapter aims to show how some relevant industrial applications of Non Destructive Testing and Evaluation (NDT/NDE) can benet of some recently emerged Computational Intelligence (CI) techniques. The problems under study are generally formulated as inverse problems whose typical ill-posedness and illconditioning (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 claried and assessed on applications of NDT/NDE in both civil engineering and industrial problems.
Computational Intelligence Methodologies for Non Destructive Testing/Evaluation Applications / M., Cacciola; Morabito, Francesco Carlo; Versaci, Mario. - Chapter 21,:(2007), pp. 493-516,.
Computational Intelligence Methodologies for Non Destructive Testing/Evaluation Applications
MORABITO, Francesco Carlo;VERSACI, Mario
2007-01-01
Abstract
This chapter aims to show how some relevant industrial applications of Non Destructive Testing and Evaluation (NDT/NDE) can benet of some recently emerged Computational Intelligence (CI) techniques. The problems under study are generally formulated as inverse problems whose typical ill-posedness and illconditioning (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 claried and assessed on applications of NDT/NDE in both civil engineering and industrial problems.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.