Paper Title:
Making Sense of Non-Destructive Evaluation Data with an Artificial Intelligence Approach
  Abstract

This paper presents the feasibility of an artificial intelligence technique for processing and interpretation of non-destructive evaluation (NDE) data from assessments of engineering structures. The technique used is a learning and reasoning approach with belief network. With this technique, causal factors and consequent indicators in the data structure in relation with structure/material condition can be modelled, and their causal relationship can be established using the NDE data as the learning resource. Fundamentals of the technique are briefly presented, and then the potential applications of the technique to NDE data are demonstrated in two case studies.

  Info
Periodical
Key Engineering Materials (Volumes 321-323)
Edited by
Seung-Seok Lee, Joon Hyun Lee, Ik Keun Park, Sung-Jin Song, Man Yong Choi
Pages
294-297
DOI
10.4028/www.scientific.net/KEM.321-323.294
Citation
M. Nguyen, X. M. Wang, G. Foliente, "Making Sense of Non-Destructive Evaluation Data with an Artificial Intelligence Approach", Key Engineering Materials, Vols. 321-323, pp. 294-297, 2006
Online since
October 2006
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Price
$32.00
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