Abstract
Results of applying active thermal nondestructive testing for the detection of water ingress in horizontally oriented aviation honeycomb panels and quantitative evaluation of water content are presented. Unlike ultrasonic inspection, thermal testing allows detecting water and evaluating its quantity in the presence of air gaps between water and inspected honeycomb skin. The proposed algorithm based on using an artificial neural network has enabled estimating water content with errors under 15 % in the cases where water contacts with a honeycomb skin, as well as in presence of air gaps between skin and water.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
