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International Journal of Rotating Machinery
Volume 2017, Article ID 7218646, 11 pages
https://doi.org/10.1155/2017/7218646
Research Article

Study on Frequency Characteristics of Rotor Systems for Fault Detection Using Variational Mode Decomposition

1Key Laboratory of High Performance Ship Technology (Wuhan University of Technology), Ministry of Education, Wuhan 430063, China
2Reliability Engineering Institute, School of Energy and Power Engineering, Wuhan University of Technology, Wuhan 430063, China
3School of Machinery and Automation, Wuhan University of Science and Technology, Wuhan 430081, China

Correspondence should be addressed to Kai Chen; nc.ude.tuhw@nehciak

Received 28 April 2017; Revised 10 July 2017; Accepted 16 July 2017; Published 14 August 2017

Academic Editor: Adam Glowacz

Copyright © 2017 Kai Chen 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

Kai Chen, Xin-Cong Zhou, Jun-Qiang Fang, and Li Qin, “Study on Frequency Characteristics of Rotor Systems for Fault Detection Using Variational Mode Decomposition,” International Journal of Rotating Machinery, vol. 2017, Article ID 7218646, 11 pages, 2017. https://doi.org/10.1155/2017/7218646.