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Shock and Vibration
Volume 2015, Article ID 560171, 11 pages
http://dx.doi.org/10.1155/2015/560171
Research Article

Research on the Sparse Representation for Gearbox Compound Fault Features Using Wavelet Bases

1School of Urban Rail Transportation, Soochow University, Suzhou 215137, China
2School of Mechanical and Electrical Engineering, Soochow University, Suzhou 215021, China

Received 29 June 2015; Accepted 12 August 2015

Academic Editor: Dong Wang

Copyright © 2015 Chunyan Luo 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.

Citations to this Article [4 citations]

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

  • Lei Wang, Xin Zhang, and Qiang Miao, “Understanding theories and methods on fault diagnosis for multi-fault detection of planetary gears,” 2016 Prognostics and System Health Management Conference (PHM-Chengdu), pp. 1–8, . View at Publisher · View at Google Scholar
  • Dejie Yu, Min Wang, and Xiangmin Cheng, “A method for the compound fault diagnosis of gearboxes based on morphological component analysis,” Measurement: Journal of the International Measurement Confederation, vol. 91, pp. 519–531, 2016. View at Publisher · View at Google Scholar
  • Zhiwen Liu, Lei Wang, Xin Zhang, and Qiang Miao, “An optimized time varying filtering based empirical mode decomposition method with grey wolf optimizer for machinery fault diagnosis,” Journal of Sound and Vibration, vol. 418, pp. 55–78, 2018. View at Publisher · View at Google Scholar
  • Xin Wang, “A Study on Coupling Faults’ Characteristics of Fixed-Axis Gear Crack and Planetary Gear Wear,” Shock and Vibration, vol. 2018, pp. 1–13, 2018. View at Publisher · View at Google Scholar