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Author:

Yang, Z. (Yang, Z..) (Scholars:杨震) | Gao, L. (Gao, L..)

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Scopus

Abstract:

Aiming at inner ring single fault and inner ring, outer ring compound fault of rolling bearing, wavelet analysis and nonlinear redundant lifting wavelet packet analysis are introduced in this paper to process the fault vibration signals in order to realize fault diagnosis of bearing. Conclusions can be drawn from the results that spectrum analysis is of limitation for fault feature extraction, while wavelet analysis and nonlinear redundant lifting wavelet packet analysis are more effective in extracting fault feature information and the latter has more advantage in compound fault analysis. © Springer-Verlag London 2014.

Keyword:

Author Community:

  • [ 1 ] [Yang, Z.]Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chao Yang District, Beijing, 100124, China
  • [ 2 ] [Gao, L.]Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chao Yang District, Beijing, 100124, China

Reprint Author's Address:

  • [Yang, Z.]Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Chao Yang District, China

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Source :

Lecture Notes in Mechanical Engineering

Monograph name: Lecture Notes in Mechanical Engineering

ISSN: 2195-4356

Volume: 9

Issue: Springer Heidelberg

Language: English

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: 1

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