Adaptive Learning Network Approach to Defect Characterization

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1975-07-01
Authors
Mucciardi, Anthony
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Abstract

The overall objective of this work was to demonstrate feasibility of adaptive nonlinear signal processing techniques applied to characterization of ultrasonic nondestructive testing (UNDT) waveforms for accurate inferences of flat -bottom hole sizes. The classified waveforms were ultrasonic pulse echoes obtained from two different sets of 7075-T6 aluminum area-amplitude test blocks and three different transducers. The eight flat- bottom hole defect sizes ranged from 1/64 to 8/64 inch in steps of l/64 inch.

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