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Shock and Vibration
Volume 2016 (2016), Article ID 5915762, 10 pages
http://dx.doi.org/10.1155/2016/5915762
Research Article

Gear Fault Diagnosis Based on Empirical Mode Decomposition and 1.5 Dimension Spectrum

Department of Physics and Electronics, Hunan University of Arts and Science, Changde 415000, China

Received 20 July 2015; Revised 8 November 2015; Accepted 15 November 2015

Academic Editor: Didier Rémond

Copyright © 2016 Jianhua Cai and Xiaoqin Li. 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.

Citations to this Article [2 citations]

The following is the list of published articles that have cited the current article.

  • Ruiliang Zhang, Xi Gu, Fengshou Gu, Tie Wang, and Andrew Ball, “Gear Wear Process Monitoring Using a Sideband Estimator Based on Modulation Signal Bispectrum,” Applied Sciences, vol. 7, no. 3, pp. 274, 2017. View at Publisher · View at Google Scholar
  • Yong Lv, Jie Luo, and Cancan Yi, “Enhanced Orthogonal Matching Pursuit Algorithm and Its Application in Mechanical Equipment Fault Diagnosis,” Shock and Vibration, vol. 2017, pp. 1–13, 2017. View at Publisher · View at Google Scholar