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Experimental application of vibrational resonance on bearing fault diagnosis

  • Junxi Gao
  • Jianhua YangEmail author
  • Dawen Huang
  • Houguang Liu
  • Songyong Liu
Technical Paper
  • 129 Downloads

Abstract

The vibrational resonance (VR) method is used to analyze the simulated and experimental vibration signals with different bearing faults. At first, we get the curve of the response amplitude at the characteristic frequency versus the amplitude of the auxiliary signal to obtain the VR phenomenon. Based on the curve, we obtain the optimal amplitude of the auxiliary signal which can induce the strongest VR. Then, we process the simulated and experimental bearing fault signals accordingly. In addition, we made a comparison of the proposed methodology with the envelope spectrum of the time domain signal. The results show that the response amplitude at the characteristic frequency is amplified excellently compared with the corresponding characteristic frequency in the raw signal. The VR method is better than the envelope spectrum in characteristic frequency extraction. Furthermore, the amplitude at the characteristic frequency is much larger than those at other frequency components after the VR processing. Therefore, the VR can be used for bearing fault diagnosis. We think it also has a certain values of reference in other weak feature extraction issues.

Keywords

Vibrational resonance Bearing fault diagnosis Bistable system Noise 

Notes

Acknowledgements

We acknowledge financial supports by the National Natural Science Foundation of China (Grant No 11672325), the Priority Academic Program Development of Jiangsu Higher Education Institutions and the Top-notch Academic Programs Project of Jiangsu Higher Education Institutions.

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Copyright information

© The Brazilian Society of Mechanical Sciences and Engineering 2018

Authors and Affiliations

  1. 1.School of Mechatronic EngineeringChina University of Mining and TechnologyXuzhouPeople’s Republic of China
  2. 2.Jiangsu Key Laboratory of Mine Mechanical and Electrical EquipmentChina University of Mining and TechnologyXuzhouPeople’s Republic of China

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