None

Defect characterization using multi-view TFM imaging algorithm

Authors: Nicolas Budyn (University of Bristol) , Rhodri L. T. Bevan (University of Bristol) , Anthony J. Croxford (University of Bristol) , Paul D. Wilcox (University of Bristol)

  • Defect characterization using multi-view TFM imaging algorithm

    None

    Defect characterization using multi-view TFM imaging algorithm

    Authors: , , ,

Options

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 .

Downloads:
Download PDF

214 Views

151 Downloads

Published on
2019-12-03

Peer Reviewed

License