Table of Contents Author Guidelines Submit a Manuscript
Shock and Vibration
Volume 2017, Article ID 5716296, 14 pages
https://doi.org/10.1155/2017/5716296
Research Article

Enhanced Bearing Fault Detection Using Step-Varying Vibrational Resonance Based on Duffing Oscillator Nonlinear System

1College of Electrical Engineering and Automation, Anhui University, Hefei, Anhui 230601, China
2National Engineering Laboratory of Energy-Saving Motor & Control Technology, Anhui University, Hefei, Anhui 230601, China

Correspondence should be addressed to Siliang Lu; nc.ude.ctsu.liam@gnailsul

Received 28 November 2016; Revised 5 June 2017; Accepted 10 July 2017; Published 13 August 2017

Academic Editor: Mariano Artés

Copyright © 2017 Yongbin Liu 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 [10 citations]

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

  • Pengxiang Jia, Jianhua Yang, Houguang Liu, and Eryi Hu, “Improving amplitude-modulated signals by re-scaled and twice sampling vibrational resonance methods,” Pramana - Journal of Physics, vol. 91, no. 3, 2018. View at Publisher · View at Google Scholar
  • Jianhua Yang, Dawen Huang, Miguel A. F. Sanjuán, and Houguang Liu, “Vibrational Resonance in an Overdamped System with a Fractional Order Potential Nonlinearity,” International Journal of Bifurcation and Chaos, vol. 28, no. 7, 2018. View at Publisher · View at Google Scholar
  • Jin-Rong Yang, Jian-Hua Yang, Hou-Guang Liu, and Cheng-Jin Wu, “On the Weak Signal Amplification by Twice Sampling Vibrational Resonance Method in Fractional Duffing Oscillators,” Journal of Computational and Nonlinear Dynamics, vol. 13, no. 3, 2018. View at Publisher · View at Google Scholar
  • Jianxi Du, Lingli Cui, Jianyu Zhang, Jin Li, and Jinfeng Huang, “The Method of Quantitative Trend Diagnosis of Rolling Bearing Fault Based on Protrugram and Lempel–Ziv,” Shock and Vibration, vol. 2018, pp. 1–8, 2018. View at Publisher · View at Google Scholar
  • Junxi Gao, Jianhua Yang, Dawen Huang, Houguang Liu, and Songyong Liu, “Experimental application of vibrational resonance on bearing fault diagnosis,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 41, no. 1, 2018. View at Publisher · View at Google Scholar
  • Lu Lu, Yu Yuan, Heng Wang, Xing Zhao, and Jianjie Zheng, “A New Second-Order Tristable Stochastic Resonance Method for Fault Diagnosis,” Symmetry, vol. 11, no. 8, pp. 965, 2019. View at Publisher · View at Google Scholar
  • Miguel A.F. Sanjuán, Pengxiang Jia, Jianhua Yang, and Xin Zhang, “On the LFM signal improvement by piecewise vibrational resonance using a new spectral amplification factor,” IET Signal Processing, vol. 13, no. 1, pp. 65–69, 2019. View at Publisher · View at Google Scholar
  • Chengjin Wu, Jianhua Yang, Dawen Huang, Houguang Liu, and Eryi Hu, “Weak signal enhancement by fractional-order system resonance and its application in bearing fault diagnosis,” Measurement Science and Technology, vol. 30, no. 3, pp. 035004, 2019. View at Publisher · View at Google Scholar
  • Lei Xiao, Ershun Pan, Tangbin Xia, and Xinghui Zhang, “A novel weak bearing fault detection method based on vibrational resonance,” Proceedings - 2018 Prognostics and System Health Management Conference, PHM-Chongqing 2018, pp. 100–104, 2019. View at Publisher · View at Google Scholar
  • Xinghui Zhang, Siliang Lu, Lei Xiao, Tangbin Xia, and Lifeng Xi, “A novel weak-fault detection technique for rolling element bearing based on vibrational resonance,” Journal of Sound and Vibration, vol. 438, pp. 490–505, 2019. View at Publisher · View at Google Scholar