Quality Prediction of Rocket Engine Combustion Chamber Shell Spinning Process Based on CGAN and Hybrid Neural Network-Reference-Cited by-同舟云学术

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Quality Prediction of Rocket Engine Combustion Chamber Shell Spinning Process Based on CGAN and Hybrid Neural Network

Published:2023-11-17 Issue: Volume: Page:2323-2328
ISSN:
Container-title:2023 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Yi Junbo¹,He Xin²,Wang Maolin³,Zheng Xiujuan¹,Guo Feng¹,Zhang Yong¹

Affiliation:

1. School of Information Science and Engineering, Wuhan University of Science and Technology,Wuhan,China

2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology,Wuhan,China

3. School of Artificial Intelligence and Automation, Huazhong University of Science and Technology,Wuhan,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451579.pdf?arnumber=10451579

Reference15 articles.

1. Effects of heat treatments to inner liner material, thermal barrier coating, and outer shell material on lifetime of a combustion chamber

2. Variational Bayesian Network with Information Interpretability Filtering for Air Quality Forecasting

3. Multi-objective quality control method for cold-rolled products oriented to customized requirements

4. A new approach for product quality prediction of complex equipment by grey system theory: A case study of cutting tools for CNC machine tool

5. Remaining useful life prediction of lithium-ion batteries with adaptive unscented kalman filter and optimized support vector regression

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