Issue << content << Review of statistical methods for assessing the probability of detecting defects in non-destructive testing


DOI: 10.12737/1609-3178-2021-4-14

2021. Vol.24. No. 2, pp. 4-14

Review of statistical methods for assessing the probability of detecting defects in non-destructive testing

V. Yu. Chertishchev, M. A. Dalin, A. S. Boychuk, I. S. Krasnov

The probability of detection (POD) depends on defects size and is an integral part of calculating the resource during non-destructive testing of parts. This article provides an overview of well-established statistical methods for estimating PODs, with a little historical insight into their emergence. An overview of new advances in POD calculation in recent years is given: three- and four-parameter models; nonparametric models; planning the experiment and sampling of defects; applying defect modeling to reduce the number of samples; the application of the Box-Cox transformation; the influence of the variability of the initial data on the result; application of Bayesian statistics. An overview of the tasks that POD specialists still have to solve in the future: nonlinear models, modeling in conjunction with Bayesian statistics, etc
Keywords: probability of detection, POD, nondestructive testing
 
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