Statistical Approach to the Automation of Flaw Detection
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Begun in 1973, the Review of Progress in Quantitative Nondestructive Evaluation (QNDE) is the premier international NDE meeting designed to provide an interface between research and early engineering through the presentation of current ideas and results focused on facilitating a rapid transfer to engineering development.
This site provides free, public access to papers presented at the annual QNDE conference between 1983 and 1999, and abstracts for papers presented at the conference since 2001.
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Abstract
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.