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International Journal of Rotating Machinery
Volume 2017, Article ID 9602650, 10 pages
https://doi.org/10.1155/2017/9602650
Research Article

Fault Feature Extraction and Diagnosis of Gearbox Based on EEMD and Deep Briefs Network

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

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

Received 30 December 2016; Revised 14 March 2017; Accepted 29 March 2017; Published 11 June 2017

Academic Editor: Tonghai Wu

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, Peng-fei Zheng, and Jun Wang, “Fault Feature Extraction and Diagnosis of Gearbox Based on EEMD and Deep Briefs Network,” International Journal of Rotating Machinery, vol. 2017, Article ID 9602650, 10 pages, 2017. https://doi.org/10.1155/2017/9602650.