Location

San Diego, CA

Start Date

1-1-1985 12:00 AM

Description

The detection of flaws in the presence of noise and other interfering signals can be enhanced by specifically taking into account the nature of these noise signals and designing a detection algorithm which performs optimally in the presence of that noise. In this paper, we present results of the application of this technique to a variety of specimens and show improvement in flaw detectability in the presence of grain scattering noise. We also discuss the use of this approach as a first step in the automation of flaw detection by virtue of its ability to recommend and evaluate measurement setups, perform optimum detection and provide confidence measures of the results.

Book Title

Review of Progress in Quantitative Nondestructive Evaluation

Volume

4A

Chapter

Chapter 1: Ultrasonics

Section

Probability of Detection

Pages

19-26

DOI

10.1007/978-1-4615-9421-5_3

Language

en

File Format

Application/pdf

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Jan 1st, 12:00 AM

Statistical Approach to the Automation of Flaw Detection

San Diego, CA

The detection of flaws in the presence of noise and other interfering signals can be enhanced by specifically taking into account the nature of these noise signals and designing a detection algorithm which performs optimally in the presence of that noise. In this paper, we present results of the application of this technique to a variety of specimens and show improvement in flaw detectability in the presence of grain scattering noise. We also discuss the use of this approach as a first step in the automation of flaw detection by virtue of its ability to recommend and evaluate measurement setups, perform optimum detection and provide confidence measures of the results.