Location

Thousand Oaks, CA

Start Date

1975 12:00 AM

Description

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

Book Title

Proceedings of the ARPA/AFML Review of Quantitative NDE

Chapter

5. Signal Processing

Pages

363-383

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Adaptive Learning Network Approach to Defect Characterization

Thousand Oaks, CA

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