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Science and Technology of Nuclear Installations
Volume 2017, Article ID 1839871, 11 pages
https://doi.org/10.1155/2017/1839871
Research Article

Dynamic Behavior Analysis of Touchdown Process in Active Magnetic Bearing System Based on a Machine Learning Method

Zhe Sun,1,2,3 Xunshi Yan,1,2,3 Jingjing Zhao,1,2,3 Xiao Kang,4 Guojun Yang,1,2,3 and Zhengang Shi1,2,3

1Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China
2Collaborative Innovation Center of Advanced Nuclear Energy Technology, Beijing 100084, China
3The Key Laboratory of Advanced Reactor Engineering and Safety, Ministry of Education, Beijing 100084, China
4Mechanical Engineering, Texas A&M University, College Station, TX 77843, USA

Correspondence should be addressed to Zhe Sun; nc.ude.auhgnist@ehz_nus

Received 30 December 2016; Revised 28 August 2017; Accepted 14 September 2017; Published 18 October 2017

Academic Editor: Eugenijus Ušpuras

Copyright © 2017 Zhe Sun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Zhe Sun, Xunshi Yan, Jingjing Zhao, Xiao Kang, Guojun Yang, and Zhengang Shi, “Dynamic Behavior Analysis of Touchdown Process in Active Magnetic Bearing System Based on a Machine Learning Method,” Science and Technology of Nuclear Installations, vol. 2017, Article ID 1839871, 11 pages, 2017. https://doi.org/10.1155/2017/1839871.