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Shock and Vibration
Volume 2016, Article ID 8361289, 20 pages
Research Article

A Novel Method for Adaptive Multiresonance Bands Detection Based on VMD and Using MTEO to Enhance Rolling Element Bearing Fault Diagnosis

College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Received 27 March 2015; Revised 9 August 2015; Accepted 20 August 2015

Academic Editor: Marcello Vanali

Copyright © 2016 Xingxing Jiang 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 [5 citations]

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

  • Yuling He, Shangkun Liu, Guiji Tang, and Xiaolong Wang, “Time-Frequency Analysis Based on Improved Variational Mode Decomposition and Teager Energy Operator for Rotor System Fault Diagnosis,” Mathematical Problems in Engineering, vol. 2016, 2016. View at Publisher · View at Google Scholar
  • Xingxing Jiang, Changqing Shen, Juanjuan Shi, and Zhongkui Zhu, “Initial center frequency-guided VMD for fault diagnosis of rotating machines,” Journal of Sound and Vibration, 2018. View at Publisher · View at Google Scholar
  • Yuanbo Xu, Zongyan Cai, and Kai Ding, “An enhanced bearing fault diagnosis method based on TVF-EMD and a high-order energy operator,” Measurement Science and Technology, vol. 29, no. 9, pp. 095108, 2018. View at Publisher · View at Google Scholar
  • Qing Li, and Steven Y. Liang, “An Improved Sparse Regularization Method for Weak Fault Diagnosis of Rotating Machinery Based Upon Acceleration Signals,” IEEE Sensors Journal, vol. 18, no. 16, pp. 6693–6705, 2018. View at Publisher · View at Google Scholar
  • Yong Li, Gang Cheng, Yusong Pang, and Moshen Kuai, “Planetary Gear Fault Diagnosis via Feature Image Extraction Based on Multi Central Frequencies and Vibration Signal Frequency Spectrum,” Sensors, vol. 18, no. 6, pp. 1735, 2018. View at Publisher · View at Google Scholar