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Shock and Vibration
Volume 2016 (2016), Article ID 3109385, 14 pages
http://dx.doi.org/10.1155/2016/3109385
Research Article

Partly Duffing Oscillator Stochastic Resonance Method and Its Application on Mechanical Fault Diagnosis

1State Key Laboratory Base of Eco-Hydraulic Engineering in Arid Area, Xi’an University of Technology, Xi’an 710048, China
2Institute of Water Resources and Hydro-Electric Engineering, Xi’an University of Technology, Xi’an 710048, China
3Institute of Water Resources and Hydropower Research, Northwest A&F University, Yangling 712100, China

Received 4 July 2016; Revised 12 September 2016; Accepted 24 October 2016

Academic Editor: Pedro Galvín

Copyright © 2016 Jian Dang 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 [3 citations]

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

  • Jian Dang, Rong Jia, Hua Wu, Xingqi Luo, and Diyi Chen, “Probabilistic Entropy EMD Thresholding for Periodic Fault Signal Enhancement in Rotating Machine,” Shock and Vibration, vol. 2017, pp. 1–14, 2017. View at Publisher · View at Google Scholar
  • Yongbin Liu, Zhijia Dai, Siliang Lu, Fang Liu, Jiwen Zhao, and Jiale Shen, “Enhanced Bearing Fault Detection Using Step-Varying Vibrational Resonance Based on Duffing Oscillator Nonlinear System,” Shock and Vibration, vol. 2017, pp. 1–14, 2017. View at Publisher · View at Google Scholar
  • Rong Jia, Fuqi Ma, Hua Wu, Xingqi Luo, and Xiping Ma, “Coupling Fault Feature Extraction Method Based on Bivariate Empirical Mode Decomposition and Full Spectrum for Rotating Machinery,” Mathematical Problems in Engineering, vol. 2018, pp. 1–10, 2018. View at Publisher · View at Google Scholar