Theoretical explanation for the empirical probability of detection (POD) curve: a neural network-motivated approach

For nondestructive testing of aerospace structures, it is extremely important to know how the probability of detecting a fault depends on its size. Recently an empirical formula has been found which described this dependence. In this paper, we provide the theoretical justification for this formula by using methods motivated by the neural network approach.