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Shock and Vibration
Volume 2017 (2017), Article ID 3084197, 12 pages
https://doi.org/10.1155/2017/3084197
Research Article

Fault Diagnosis for Rotating Machinery Based on Convolutional Neural Network and Empirical Mode Decomposition

Department of Automation, School of Information Science and Technology, Tsinghua University, Beijing, China

Correspondence should be addressed to Yuan Xie

Received 7 March 2017; Revised 30 June 2017; Accepted 11 July 2017; Published 20 August 2017

Academic Editor: Giosuè Boscato

Copyright © 2017 Yuan Xie and Tao Zhang. 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

Yuan Xie and Tao Zhang, “Fault Diagnosis for Rotating Machinery Based on Convolutional Neural Network and Empirical Mode Decomposition,” Shock and Vibration, vol. 2017, Article ID 3084197, 12 pages, 2017. doi:10.1155/2017/3084197