APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN NONDESTRUCTIVE EVALUATION
C. H. Chen University of Massachsuetts Dartmouth, Electrical and Computer Engineering Dept 285 Old Westport Road, N. Dartmouth, MA 02747-2300 USA
Keywords: Artificial intelligence, expert systems, neural networks, data fusion, nondestructive evaluation of materials
ABSTRACT
To meet the increased demand for reliable inspecting in complex nondestructive evaluation (NDE) takes, artificial intelligence (AI) can provide new and effective approaches to many problems. AI expert systems (often rule-based) offer solutions to problems for which numerical algorithms may not be suitable and for which nonnumeric information can be important. expert systems allow data fusion to utilize information from different NDE sensors, and can deal with uncertainty more effectively. Another advance in AI perhaps is in artificial neural networks for pattern classification and parameter prediction. Neural networks have been increasingly used in NDE. These and other AI capabilities have been applied successfully to several NDE systems. Case studies of AI based NDE systems will be presented in detail.
Publication Source: Trends in NDE Science & Technology; Proceedings of the 14th World Conference on Non-Destructive Testing, New Delhi, 8-13 December 1996.full paper not received Publisher:Ashgate Publishing Company
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