Residual life prediction of multi-layer composite coatings based on vector quantised and attention-variational AutoEncoder network-Reference-Cited by-同舟云学术

Residual life prediction of multi-layer composite coatings based on vector quantised and attention-variational AutoEncoder network

Published:2024-02-20 Issue: Volume: Page:1-21
ISSN:1058-9759
Container-title:Nondestructive Testing and Evaluation
language:en
Short-container-title:Nondestructive Testing and Evaluation

Author:

Li Min¹²,Pan Fushuai¹,Li Xue¹³,Li Hangkai¹,Liu Yanbo⁴

Affiliation:

1. Collaborative Innovation Center of Steel Technology, University of Science and Technology Beijing, Beijing, China

2. Key Laboratory of Fluid Interaction with Material, Ministry of Education, University of Science and Technology Beijing, Beijing, China

3. Hangzhou Institute of Technology, Xidian University, Hangzhou, China

4. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, China

Funder

National Key Research and Development Program of China

Publisher

Informa UK Limited

Link

https://www.tandfonline.com/doi/pdf/10.1080/10589759.2024.2317863

Reference50 articles.

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3. Makhlouf ASH. Current and advanced coating technologies for industrial applications. Nanocoating Ultra Thin Film. Sawston Cambridge, United Kingdom: Woodhead Publishing 2011. p. 3–23

4. Ultrasonic Assessment of Thickness and Bonding Quality of Coating Layer Based on Short-Time Fourier Transform and Convolutional Neural Networks

5. A novel application of ultrasonic Lamb waves: studying adhesive effects on the inspection of coating debonding in a three-layer waveguide

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