MODELS FOR NONDESTRUCTIVE INSPECTION DATA

This paper describes the use of statistical models for the evaluation of the reliability of non-destructive inspections. Probability models for the uncertainty in the flaw size determination and the flaw detect ion are constructed. The flaw sizing models are based on the assumptio n that the measured and true flaw sizes are related in a simple way: t wo models based on logarithmic and legit transformations of the flaw s izes are considered. The probability of flaw detection is assumed to d epend on the flaw size either through logarithmic or legit transformat ion. To illustrate the use of these models, they have been applied to flaw sizing data and flaw detection frequency data. Furthermore, model s for Bayesian updating of flaw size distributions were developed. In this connection, models for updating the size distribution of a single Raw as well as for handling multiple flaws are introduced. (C) 1998 E lsevier Science Limited.