At the 4th workshop in 2009 the authors presented case studies of using model assisted approaches to enhance probability of detection estimation (MAPOD). Since that time, simulation tools have greatly matured and new methods of data analysis have been introduced into the NDE community. in this presentation we will show case studies of MAPOD including spatial variability, automated defect analysis, and machine learning methods. Critical aspects include validation, uncertainty quantification, and the fusion of data from simulation, experiments, and other sources for efficient and accurate MAPOD.
|