Defect-identification in composite materials using pattern recognition techniques on ultrasonic data

One of the methods most widely used in non-destructive testing of materials is ultrasonics. However in many applications the results is treated as a binary value (good or bad) regardless of the enormous amount of information embedded in an ultrasonic A-scan. A small number of users can go beyond this binary threshold by identifying the defect based on years of practical experience. However, when material properties differ from the isotropic ones, the complexity of the total system becomes such that identification by human judgment becomes practically impossible even though this information is available in the signal.SCOPUS: ar.jinfo:eu-repo/semantics/publishe