Improvement to Defect Detection by Ultrasonic Data Processing: The DTVG Method (original) (raw)

AI-generated Abstract

The DTVG method enhances defect detection in the ultrasonic testing of coarse-grained austenitic and austeno-ferritic stainless steels, addressing limitations of conventional techniques that rely on amplitude analysis. By employing an automatic image processing approach that assesses spatial stability and gradients in ultrasonic BScan images under varied conditions, the method improves detection even at low signal-to-noise ratios. Validation demonstrates its effectiveness on thick materials under oblique incidence, achieving complete automation in defect identification, though further testing on real defects is needed to optimize performance.

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