5. Signal Processing
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.
Mucciardi, Anthony N., "Adaptive Learning Network Approach to Defect Characterization" (1975). Proceedings of the ARPA/AFML Review of Quantitative NDE, June 1974–July 1975. 7.