Adaptive Nonlinear Signal Processing for Characterization of Ultrasonic NDE Waveforms. Task 1: Inference of Flatbottom Hole Size.

Abstract

The overall objective of this first work task was to demonstrate feasibility of adaptive nonlinear signal processing techniques, from cybernetics and bionics, 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 2 different sets of 7075-T6 aluminum test blocks and 3 different transducers. The eight flat-bottom hole defect sizes ranged from 1/64 to 8/64 inch in steps of 1/64 inch.

Document Details

Document Type
Technical Report
Publication Date
Feb 01, 1975
Accession Number
ADA013881

Entities

People

  • Anthony N. Mucciardi
  • Henrie L. Reeves
  • John Cleveland
  • Ramesh Shankar
  • William E. Lawrie

Tags

DTIC Thesaurus Topics

  • Aluminum
  • Biological Sciences
  • Bionics
  • Biophysics
  • Cybernetics
  • Electronics
  • Nondestructive Testing
  • Physics
  • Signal Processing
  • Transducers
  • Waveforms

Readers

  • Acoustical Oceanography.
  • Fluid Dynamics.
  • Reinforced Composite Materials

Technology Areas

  • AI & ML
  • Biotechnology