2D-6 Automatic Detection of High Temperature Hydrogen Attack Defects from Ultrasonic A-Scan Signals
In this paper, an out-of-service pressure vessel known to have lots of high temperature hydrogen attach (HTHA) defects is used to develop in a cost effective manner a database of ultrasonic A-scan signals of this defect. Basic feature extraction method, coupled with traditional classifiers is shown to distinguish accurately the hydrogen attack defects from geometrically similar defects.