A study of machine learning object detection performance for phased array ultrasonic testing of carbon fibre reinforced plastics-Reference-Cited by-同舟云学术

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A study of machine learning object detection performance for phased array ultrasonic testing of carbon fibre reinforced plastics

Published:2024-06 Issue: Volume:144 Page:103094
ISSN:0963-8695
Container-title:NDT & E International
language:en
Short-container-title:NDT & E International

Author:

Tunukovic Vedran^ORCID,McKnight Shaun,Mohseni Ehsan,Pierce S. Gareth,Pyle Richard,Duernberger Euan,Loukas Charalampos,Vithanage Randika K.W.,Lines David,Dobie Gordon,MacLeod Charles N.,Cochran Sandy,O'Hare Tom

Publisher

Elsevier BV

Reference75 articles.

1. Composite materials for aerospace applications;Mangalgiri;Bull Mater Sci,1999

2. Composites in aerospace applications;Quilter,2001

3. Radical innovation in scaling up: Boeing's Dreamliner and the challenge of socio-technical transitions;Slayton;Technovation,2016

4. Structural health monitoring of aerospace composites;Giurgiutiu,2016

5. Environmental analysis of innovative sustainable composites with potential use in aviation sector—a life cycle assessment review;Bachmann;Sci China Technol Sci,2017

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1. Automatic PAUT Crack Detection and Depth Identification Framework Based on Inspection Robot and Deep Learning Method;Journal of Infrastructure Intelligence and Resilience;2024-08

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