A Systematic Approach to Ultrasonic Pattern Recognition for Real-Time Intelligent Flaw Classification in Weldments

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1999
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Song, Sung-Jin
Kim, Hak-Joon
Lee, Hyun
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Review of Progress in Quantitative Nondestructive Evaluation
Center for Nondestructive Evaluation

Begun in 1973, the Review of Progress in Quantitative Nondestructive Evaluation (QNDE) is the premier international NDE meeting designed to provide an interface between research and early engineering through the presentation of current ideas and results focused on facilitating a rapid transfer to engineering development.

This site provides free, public access to papers presented at the annual QNDE conference between 1983 and 1999, and abstracts for papers presented at the conference since 2001.

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Abstract

Flaw classification is one of the essential issues in quantitative ultrasonic nondestructive evaluation of weldments. Ultrasonic flaw classification can be divided into three approaches [1]; 1) conventional approaches which use heuristic experience-based echo-dynamic pattern identification techniques, 2) model-based approaches which use model-based strong features in ultrasonic flaw signals, and 3) ultrasonic pattern recognition approaches which use features and decision making algorithms and adopt various signal processing techniques and artificial intelligent tools. Among these approaches, ultrasonic pattern recognition approaches which are considered as the most promising tool have been investigated extensively in the ultrasonic nondestructive evaluation (NDE) community [2–6].

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Fri Jan 01 00:00:00 UTC 1999