Simulated probability of detection maps in case of non-monotonic EC signal response

This study addresses two issues: i) the estimation of simulation-assisted POD, not only versus the size of the defect, but also versus the location of the defect; ii) the non-parametric estimation of simulation-assisted POD when classical Berens hypotheses are not verified. It illustrates on an EC basic case of study the advantages of considering both size and location as characteristic parameters for POD estimation when location has a strong influence. Gaussian kernel smoothing regression has been applied to a simulated data set. Due to the large number of simulations involved, a surrogate model has first been constructed from a signals database generated by CIVA.