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Author:

Cui, L. (Cui, L..) (Scholars:崔丽) | Xu, Y. (Xu, Y..) | Hu, B. (Hu, B..) | Zhang, J. (Zhang, J..) (Scholars:张菁)

Indexed by:

Scopus PKU CSCD

Abstract:

Gear tooth crack fault signal is very weak when the crack is in early stage. To extract early gear tooth crack fault feature effectively, an early fault diagnosis method is put forward based on the empirical mode decomposition (EMD). In this method, the gear meshing harmonics are first removed from the vibration signal to generate the residual signal. The residual signal is then analyzed by using the EMD demodulation method. Simulation results and actual engineering diagnosis example demonstrate that the demodulation analysis method proposed can extract the early crack fault feature of gear from complicated vibration signals successfully. It is more favourable to detect the early fault and judge the fault degree.

Keyword:

Demodulation; Early fault; Empirical mode decomposition; Gear tooth crack

Author Community:

  • [ 1 ] [Cui, L.]The Key Laboratory of Beijing Municipality in Advanced Manufacturing Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Xu, Y.]The Key Laboratory of Beijing Municipality in Advanced Manufacturing Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Hu, B.]College of Management, Wuhan University of Technology, Wuhan 430070, China
  • [ 4 ] [Zhang, J.]The Key Laboratory of Beijing Municipality in Advanced Manufacturing Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China

Reprint Author's Address:

  • 崔丽

    [Cui, L.]The Key Laboratory of Beijing Municipality in Advanced Manufacturing Technology, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China

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Source :

Journal of Mechanical Strength

ISSN: 1001-9669

Year: 2010

Issue: 1

Volume: 32

Page: 5-9

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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