Estimating Probability of Detection for Subsurface Ultrasonic Inspection
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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
Acquisition of empirical Probability of Detection (POD) data involves use of controlled samples of material containing discontinuities of known characteristics, such as size, orientation, etc. For subsurface inspection, developing such a data base presents difficulties in obtaining or producing samples covering the full range of possible characteristics, and in adequately identifying those characteristics with a “referee” technique. In this paper, a method is described whereby estimates for the POD of subsurface discontinuities have been derived from a simple algorithm linking metallographic and ultrasonic measurements on a relatively small number of artificial and natural reflectors. Originally introduced solely to meet a need for mean POD, subsequent development has allowed adding confidence levels to the analysis; use of a closely related technique for providing probabilistic estimates of the size of individual discontinuities will also be described.