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Dynamic Behavior Analysis of Touchdown Process in Active Magnetic Bearing System Based on a Machine Learning Method
Joint Authors
Sun, Zhe
Yan, Xunshi
Zhao, Jingjing
Kang, Xiao
Yang, Guojun
Shi, Zhengang
Source
Science and Technology of Nuclear Installations
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-10-18
Country of Publication
Egypt
No. of Pages
11
Abstract EN
Magnetic bearings are widely applied in High Temperature Gas-cooled Reactor (HTGR) and auxiliary bearings are important backup and safety components in AMB systems.
The performance of auxiliary bearings significantly affects the reliability, safety, and serviceability of the AMB system, the rotating equipment, and the whole reactor.
Research on the dynamic behavior during the touchdown process is crucial for analyzing the severity of the touchdown.
In this paper, a data-based dynamic analysis method of the touchdown process is proposed.
The dynamic model of the touchdown process is firstly established.
In this model, some specific mechanical parameters are regarded as functions of deformation of auxiliary bearing and velocity of rotor firstly; furthermore, a machine learning method is utilized to model these function relationships.
Based on the dynamic model and the Kalman filtering technique, the proposed method can offer estimation of the rotor motion state from noisy observations.
In addition, the estimation precision is significantly improved compared with the method without learning.
The proposed method is validated by the experimental data from touchdown experiments.
American Psychological Association (APA)
Sun, Zhe& Yan, Xunshi& Zhao, Jingjing& Kang, Xiao& Yang, Guojun& Shi, Zhengang. 2017. 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, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1203586
Modern Language Association (MLA)
Sun, Zhe…[et al.]. Dynamic Behavior Analysis of Touchdown Process in Active Magnetic Bearing System Based on a Machine Learning Method. Science and Technology of Nuclear Installations No. 2017 (2017), pp.1-11.
https://search.emarefa.net/detail/BIM-1203586
American Medical Association (AMA)
Sun, Zhe& Yan, Xunshi& Zhao, Jingjing& Kang, Xiao& Yang, Guojun& Shi, Zhengang. Dynamic Behavior Analysis of Touchdown Process in Active Magnetic Bearing System Based on a Machine Learning Method. Science and Technology of Nuclear Installations. 2017. Vol. 2017, no. 2017, pp.1-11.
https://search.emarefa.net/detail/BIM-1203586
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203586