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Author:

Cui, Ling-Li (Cui, Ling-Li.) (Scholars:崔玲丽) | Gao, Li-Xin (Gao, Li-Xin.) | Wang, Guo-Dong (Wang, Guo-Dong.)

Indexed by:

EI Scopus

Abstract:

Based on wavelet analysis method and Hilbert envelop demodulation, a method for the fault diagnosis of rolling bearings is proposed in this paper. The local Hilbert demodulation and local wavelet transform are introduced respectively. The wavelet transform is used to translate vibration signals into time-scale representation. Then, an envelope signal can be obtained by envelop spectrum analysis of wavelet coefficients of high scales from which the faults in a roller bearing could be diagnosed. Vibration signals measured from roller bearings test rig with outer race faults are analyzed by the proposed method. The results show that the proposed method can diagnose the faults in a roller bearing and fault patterns can be identified. © 2007 IEEE.

Keyword:

Spectrum analysis Optical variables measurement Vibration analysis Wavelet analysis Roller bearings Pattern recognition Demodulation Wavelet transforms

Author Community:

  • [ 1 ] [Cui, Ling-Li]Key Laboratory of Beijing Municipality, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Gao, Li-Xin]Key Laboratory of Beijing Municipality, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China
  • [ 3 ] [Wang, Guo-Dong]Key Laboratory of Beijing Municipality, College of Mechanical Engineering and Applied Electronics Technology, Beijing University of Technology, Beijing 100022, China

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Source :

Year: 2007

Volume: 4

Page: 1683-1687

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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