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Pattern Analysis for the Ultrasonic Nondestructive Evaluation of Materials

In this paper the use of digital pattern recognition in ultrasonic nondestructive evaluation (NDE) of materials is examined. Emphasis is placed on identifying effective features from time and frequency domains, correlation functions and impulse responses to classify aluminium plate specimen into three major defect geometries: flat and angular cuts, and circular holes. A multi-stage classification procedure is developed which can further determine the angles and sizes for defect characterization and classification. The research clearly demonstrates that modern pattern analysis can significantly improve the nondestructive material evaluation capability of the ultrasonic methods.