Model-Based Signal Processing Techniques for Ultrasonic Flaw Detection: Simulation Studies

Author:

Chiou Chien-Ping,Thompson R. Bruce,Schmerr Lester W.

Publisher

Springer US

Reference13 articles.

1. J. G. Costa, R. E. Gonzalez, R. E. Guyotte, D. P. Salvano, T. Swift and R. J. Koenig, Titanium Rotating Components Review Team Report, Federal Aviation Administration, Washington, December 1990.

2. C.-P. Chiou, L. W. Schmerr and R. B. Thompson, “Ultrasonic Flaw Detection Using Neural Network Models and Statistical Analysis: Simulation Studies,” these proceedings.

3. L. J. H. Brasche, F. J. Margetan and R. B. Thompson, “Sample Preparation Techniques and Material Property Measurements of Hard Alpha Titanium Samples,” Review of Progress in Quantitative Nondestructive Evaluation Vol 1 IB, (Eds. D. O. Thompson and D. E. Chimenti) Plenum Press, New York, pp. 1733–1738, 1992.

4. F. J. Margetan and R. B. Thompson, “Microstructural Noise in Titanium Alloys and Its Influence on the Detectability of Hard-Alpha Inclusions,” Review of Progress in Quantitative Nondestructive Evaluation Vol IIB, (Eds. D. O. Thompson and D. E. Chimenti) Plenum Press, New York, pp. 1717–1724, 1992.

5. R. Bruce Thompson and Tim Gray, “A Model Relating Ultrasonic Scattering Measurements Through Liquid-Solid Interfaces to Unbounded Medium Scattering Amplitudes,” Journal of Acoustical Society of America, 74, pp. 1279–1290, 1983.

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1. Ultrasonic Signal-To-Noise Ratio Enhancement Using Adaptive Filtering Technique;Review of Progress in Quantitative Nondestructive Evaluation;1995

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