Location

La Jolla ,CA

Start Date

1-1-1989 12:00 AM

Description

In ultrasonic grain size characterization, grain signals are the only tangible results that can be obtained directly from grain scattering in the specimen. Grain scattering results in an upward shift in the expected frequency of broadband, returned ultrasonic echoes, while the attenuation effect influences the frequency shift in a downward direction. Both the upward and downward shifts are closely related to the grain structures of the materials. In this paper, the second order linear predictive method is used to characterize the spectral shift by utilizing of features such as resonating frequency, system poles and linear predictive coefficients. The feasibility of applying pattern recognition techniques based on these features are discussed and supported by simulated computer and experimental results.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

8A

Chapter

Chapter 3: Interpretive Signal and Image Processing

Section

Expert Systems and Adaptive Analysis

Pages

681-688

DOI

10.1007/978-1-4613-0817-1_86

Language

en

File Format

application/pdf

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Jan 1st, 12:00 AM

Application of Linear Predictive Analysis in Ultrasonic Grain Signal Characterization

La Jolla ,CA

In ultrasonic grain size characterization, grain signals are the only tangible results that can be obtained directly from grain scattering in the specimen. Grain scattering results in an upward shift in the expected frequency of broadband, returned ultrasonic echoes, while the attenuation effect influences the frequency shift in a downward direction. Both the upward and downward shifts are closely related to the grain structures of the materials. In this paper, the second order linear predictive method is used to characterize the spectral shift by utilizing of features such as resonating frequency, system poles and linear predictive coefficients. The feasibility of applying pattern recognition techniques based on these features are discussed and supported by simulated computer and experimental results.