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Shock and Vibration
Volume 2016, Article ID 9278581, 11 pages
http://dx.doi.org/10.1155/2016/9278581
Research Article

Fault Diagnosis of Rotating Machinery Based on Adaptive Stochastic Resonance and AMD-EEMD

1Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China
2Institute of Vehicles and Energy, Yanshan University, Qinhuangdao, Hebei 066004, China

Received 4 November 2015; Revised 15 December 2015; Accepted 5 January 2016

Academic Editor: Juan P. Amezquita-Sanchez

Copyright © 2016 Peiming Shi 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 [9 citations]

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

  • Jian Dang, Xingqi Luo, Hua Wu, Diyi Chen, and Rong Jia, “Partly Duffing Oscillator Stochastic Resonance Method and Its Application on Mechanical Fault Diagnosis,” Shock and Vibration, vol. 2016, 2016. View at Publisher · View at Google Scholar
  • Hongguang Li, Yue Hu, Fucai Li, and Guang Meng, “Succinct and fast empirical mode decomposition,” Mechanical Systems and Signal Processing, vol. 85, pp. 879–895, 2017. View at Publisher · View at Google Scholar
  • Satish Mohanty, Karunesh Kumar Gupta, and Kota Solomon Raju, “Adaptive fault identification of bearing using empirical mode decomposition-principal component analysis-based average kurtosis technique,” IET Science, Measurement and Technology, vol. 11, no. 1, pp. 30–40, 2017. View at Publisher · View at Google Scholar
  • Kyoo Nam Choi, “Noise in Load Cell Signal in an Automatic Weighing System Based on a Belt Conveyor,” Journal of Sensors, vol. 2017, pp. 1–9, 2017. View at Publisher · View at Google Scholar
  • Xiaojiao Gu, and Changzheng Chen, “Rolling Bearing Fault Signal Extraction Based on Stochastic Resonance-Based Denoising and VMD,” International Journal of Rotating Machinery, vol. 2017, pp. 1–12, 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
  • Peiming Shi, Danzhen Yuan, Dongying Han, Ying Zhang, and Rongrong Fu, “Stochastic resonance in a time-delayed feedback tristable system and its application in fault diagnosis,” Journal of Sound and Vibration, vol. 424, pp. 1–14, 2018. View at Publisher · View at Google Scholar
  • Dongying Han, Shujun An, Peiming Shi, and Ying Zhang, “A new weak fault diagnosis method based on multi-scale wavelet noise tuning cascaded multi-stable stochastic resonance,” Journal of Vibroengineering, vol. 20, no. 1, pp. 258–271, 2018. View at Publisher · View at Google Scholar
  • Dongying Han, Xiao Su, and Peiming Shi, “Weak Fault Signal Detection of Rotating Machinery Based on Multistable Stochastic Resonance and VMD-AMD,” Shock and Vibration, vol. 2018, pp. 1–15, 2018. View at Publisher · View at Google Scholar