Making Sense of Non-Destructive Evaluation Data with an Artificial Intelligence Approach

Minh Nguyen; Xiao Ming Wang; Greg Foliente

doi:10.4028/www.scientific.net/KEM.321-323.294

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HomeKey Engineering MaterialsKey Engineering Materials Vols. 321-323Making Sense of Non-Destructive Evaluation Data...

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.

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Periodical:

Key Engineering Materials (Volumes 321-323)

Pages:

294-297

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.321-323.294

Citation:

Cite this paper

Online since:

October 2006

Authors:

Minh Nguyen, Xiao Ming Wang, Greg Foliente

Keywords:

Belief Network, Composite Plate, Concrete Bridge, Condition Assessment, Deterioration, Distributed Sensor Network, Learning And Reasoning, Visual Inspection

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