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Classification of Ultrasonic Weld Inspection Data Using Principal Component Analysis,

Authors: Sangmin Bae; Lalita Udpa; Satish Udpa; Tom Taylor
Abstract:
This paper presents a new defect classification method intended to reduce the human variability in ultrasonic weld inspection. The classification technique is based upon principal component analysis (PCA). The technique is applied in this work to provide features in a reduced dimensional feature space for ultrasonic signals.

Pages: 8
Report Date: 1997
Report Number: D324343

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