Progress on the development of automated data analysis algorithms and software for ultrasonic inspection of composites
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AIP Publishing LLC
Cited by 8 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Delamination Detection in CFRP Components from Ultrasound Images Using Convolutional Neural Networks;2024 IEEE International Instrumentation and Measurement Technology Conference (I2MTC);2024-05-20
2. Unsupervised machine learning for flaw detection in automated ultrasonic testing of carbon fibre reinforced plastic composites;Ultrasonics;2024-05
3. Unsupervised Machine Learning for Flaw Detection in Automated Ultrasonic Testing of Carbon Fibre Reinforced Plastic Composites;2023
4. Automated defect detection for ultrasonic inspection of CFRP aircraft components;NDT & E International;2021-09
5. Demonstration of using signal feature extraction and deep learning neural networks with ultrasonic data for detecting challenging discontinuities in composite panels;AIP Conference Proceedings;2019
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