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| Content Provider | IET Digital Library |
|---|---|
| Author | Sun, Yuanyuan Guo, Lili Wang, Yongming Ma, Zhongsong Niu, Yi |
| Abstract | The space application task is to carry out various scientific experiments and applied research by using the ability of space experiment of spacecraft. In the past 20 years, >50 space application studies have been carried out in Chinese manned space flight application system, >500 units have been involved in the previous flight missions, and fruitful results have been achieved. The white paper ‘Chinese spaceflight in 2016’ pointed out that in the next 5 years, Chinese satellite system will enhance the level and basic ability to construct the satellite system. Chinese manned space station project is scheduled to be completed ∼2022 and it will plan to operate >10 years. The space station, based on the world-wide integrated information network, has a large number of payloads and will become a national space laboratory. Space activities are full of risks and challenges. On the basis of a great deal of literatures, the method of avoiding space risk in the field of spaceflight is discussed. Aiming at the fault diagnosis task for space utilisation, the intelligent methods of deep learning including deep belief network, convolutional neural network and generative adversarial network are discussed. |
| Starting Page | 8770 |
| Ending Page | 8775 |
| Page Count | 6 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 23, Dec (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/23 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2018.9102 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-03-25 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Aerospace Engineering Computing Aerospace Industry Artificial Satellites Belief Network Chinese Manned Space Flight Application System Chinese Manned Space Station Project Chinese Satellite System Chinese Space Industry Convolutional Neural Network Deep Belief Network Deep Learning Fault Diagnosis Fault Diagnosis Task Generative Adversarial Network Integrated Information Network Knowledge Engineering Technique Learning in AI National Space Laboratory Neural Computing Technique Remote Sensing Satellite Communication Satellite Communication System Satellite Navigation Scientific Experiments Space Activities Space Application Space Application Task Space Research Space Risk Space Utilisation Space Vehicle White Paper Chinese Spaceflight |
| Content Type | Text |
| Resource Type | Article |
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