Location

Brunswick, ME

Start Date

1-1-1990 12:00 AM

Description

The use of prior information is an important component in the ultrasonic detection, classification, and characterization of flaws. In order to take full advantage of advanced digitally based approaches to flaw detection, classification, and characterization, use of prior information will be critical. Some advanced techniques involve probabilistic approaches which start with a stochastic model for a flaw signal in which the flaw’s scattering amplitude is assumed to be an uncorrelated, Gaussian random variable with zero mean and known variance [1–4]. The goal of the work presented here was to analyze scattering amplitude as a random variable with emphasis on evaluation of these assumptions.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

9A

Chapter

Chapter 3: Interpretive Signal and Image Processing

Section

A: Signal Processing and Neural Networks

Pages

633-640

DOI

10.1007/978-1-4684-5772-8_79

Language

en

File Format

application/pdf

Share

COinS
 
Jan 1st, 12:00 AM

An Analysis of Ultrasonic Flaw Scattering Amplitude as a Random Variable

Brunswick, ME

The use of prior information is an important component in the ultrasonic detection, classification, and characterization of flaws. In order to take full advantage of advanced digitally based approaches to flaw detection, classification, and characterization, use of prior information will be critical. Some advanced techniques involve probabilistic approaches which start with a stochastic model for a flaw signal in which the flaw’s scattering amplitude is assumed to be an uncorrelated, Gaussian random variable with zero mean and known variance [1–4]. The goal of the work presented here was to analyze scattering amplitude as a random variable with emphasis on evaluation of these assumptions.