Eddy current measurements of cracks in titanium can be corrupted by the presence of spatially correlated grain noise generated by the material. This grain noise complicates both the detection and characterization of cracks in titanium. A promising solution is to model the grain noise as a Gaussian process; this model was successfully applied in the characterization problem (see ). Here, a grid search algorithm which makes use of the noise model is developed to detect cracks obscured by grain noise. As in , the inverse problem is solved in the Bayesian framework. The algorithm is applied successfully to both simulated and experimental data for cracks in specimens of Ti-6Al-4V.
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
Tel.: +1 703 830 6300
Fax: +1 703 830 2300 firstname.lastname@example.org
(Corporate matters and books only) IOS Press c/o Accucoms US, Inc.
For North America Sales and Customer Service
West Point Commons
Lansdale PA 19446
Tel.: +1 866 855 8967
Fax: +1 215 660 5042 email@example.com