Objective Ultrasonic Characterization of Welding Defects Using Physically Based Pattern Recognition Techniques

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1988
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Burch, S.
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Altmetrics
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Abstract

Computer-based methods for analysing ultrasonic data to distinguish between different defect types have been based on a variety of techniques such as adaptive learning [1], artificial intelligence [2] and statistical pattern recognition [3]. The uncertain classification reliability of these techniques when applied to a range of realistic defect types has, however, often been a significant practical limitation to their use.

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