Deep Learning-Based 3D Printer Fault Detection-Reference-Cited by-同舟云学术

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Deep Learning-Based 3D Printer Fault Detection

Published:2021-08-17 Issue: Volume: Page:
ISSN:
Container-title:2021 Twelfth International Conference on Ubiquitous and Future Networks (ICUFN)
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Author:

Verana Mark,Nwakanma Cosmas Ifeanyi,Lee Jae Min,Kim Dong Seong

Funder

National Research Foundation of Korea (NRF)

Ministry of Education, Science and Technology

IITP(Institute for Information & communications Technology Planning & Evaluation)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9528509/9528394/09528692.pdf?arnumber=9528692

Cited by 14 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. Multivariate sensor data analysis for fault detection toward feedback loop-based continuous learning in FFF 3D printer;The International Journal of Advanced Manufacturing Technology;2024-05-08

2. Let’s Print an Ecology in 3D (and 4D);Materials;2024-05-07

3. Empirical analysis of sensor type importance for data preparation of real-time operational status monitoring in fused deposition modeling 3D printers;The International Journal of Advanced Manufacturing Technology;2024-04-02

4. Fault Detection in 3D-Printing with Deep Learning;2024 IEEE International Conference on Consumer Electronics (ICCE);2024-01-06

5. Intelligent and self- reconfigurable manufacturing system;Procedia Computer Science;2024

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