Flight Parameter Prediction and Fault Propagation based on Machine Learning and Symbolic Directed Graph-Reference-Cited by-同舟云学术

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Flight Parameter Prediction and Fault Propagation based on Machine Learning and Symbolic Directed Graph

Published:2023-06-23 Issue: Volume: Page:
ISSN:
Container-title:2023 6th International Symposium on Autonomous Systems (ISAS)
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Author:

Li Wenzhuo¹,Guo Kun¹,Cheng Yuehua²,Hu Hengsong²,Xu Cheng¹,Yu Ziquan¹

Affiliation:

1. Nanjing University of Aeronautics and Astronautics,College of Automation Engineering,Nanjing,China

2. Science and Technology on Complex System Control and Intelligent Agent Cooperation Laboratory Beijing Institute of Mechanical and Electrical Engineering,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10164121/10164123/10164555.pdf?arnumber=10164555

Reference16 articles.

1. An algorithm for diagnosis of system failures in the chemical process

2. Short-Term Residential Load Forecasting Based on LSTM Recurrent Neural Network

3. Dismantling of the EB experiment: Experimental research on the retrieved GBM and bentonite blocks

4. A delaminating modeling and hierarchical reasoning method for SDG based fault diagnosis[J];lv;Control Engineering of China,2010

5. Short-Term Load Forecasts Using LSTM Networks

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