Abstract
Defect characterization is an essential step of nondestructive testing which aims to determine the shape and the size of a defect once detected. The characterization of small defects remains difficult because their shape may not be resolved using imaging algorithms. This paper introduces a probabilistic characterization method based on multi-view Total Focusing Method (TFM) and an ultrasonic forward model. The measured intensities of the defect in the images act as a signature, which is compared against a database of reference defects. Using Bayesian inference, the reference defects which most credibly explain the measured signature are retrieved.
How to Cite:
Budyn, N. ., Bevan, R. L., Croxford, A. J. & Wilcox, P. D., (2019) “Defect characterization using multi-view TFM imaging algorithm”, Review of Progress in Quantitative Nondestructive Evaluation .
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