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Research on the Weak Signal Detection of Bearing Fault Based on Duffing Oscillator

[+] Author Affiliations
Long Hao, Dan Liu, Fei Liu, QingXin Wang, Lin Liang, GuangHua Xu

Xi'an Jiaotong University, Xi'an, China

Paper No. IMECE2018-86892, pp. V011T01A019; 7 pages
  • ASME 2018 International Mechanical Engineering Congress and Exposition
  • Volume 11: Acoustics, Vibration, and Phononics
  • Pittsburgh, Pennsylvania, USA, November 9–15, 2018
  • Conference Sponsors: ASME
  • ISBN: 978-0-7918-5216-3
  • Copyright © 2018 by ASME


In this paper, chaotic system is applied to identify and extract the weak signals of bearing early fault which are often submerged in strong background noise. Chaotic system is an effective method in weak signal detection because of its properties of noise immunity and sensitivity to the weak periodic signal. However, chaotic system is not completely immune to noise in critical chaotic state. Aiming at this problem, four indicators are used to evaluate the detection performance of Duffing oscillators. Then, the influence of Duffing oscillator parameters on the four indicators is studied in detail and a new method is proposed to improve the detection performance of Duffing oscillator. The simulation and experimental results show that the proposed method can accurately obtain the characteristic signals of early bearing fault in a lower signal-to-noise ratio (SNR) situation.

Copyright © 2018 by ASME
Topics: Bearings , Signals



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