Theoretical and experimental analysis of bispectrum of vibration signals for fault diagnosis of gears

Shen Guoji, Stephen McLaughlin, Xu Yongcheng, Paul White

Research output: Contribution to journalArticle

48 Citations (Scopus)

Abstract

Condition monitoring and fault diagnosis is an important issue for gearbox maintenance and safety. The critical process involved in such activities is to extract reliable features representative of the condition of the gears or gearbox. In this paper a framework is presented for the application of bispectrum to the analysis of gearbox vibration. The bispectrum of a composite signal consisting of multiple periodic components has peaks at the bifrequencies that correspond to closely related components which can be produced by any nonlinearity. As a result, biphase verification is necessary to decrease false-alarming for any bispectrum-based method. A model based on modulated signals is adopted to reveal the bispectrum characteristics for the vibration of a faulty gear, and the corresponding amplitude and phase of the bispectrum expression are deduced. Therefore, a diagnostic approach based on the theoretical result is derived and verified by the analysis of a set of vibration signals from a helicopter gearbox. (C) 2013 Published by Elsevier Ltd.

Original languageEnglish
Pages (from-to)76-89
Number of pages14
JournalMechanical Systems and Signal Processing
Volume43
Issue number1-2
DOIs
Publication statusPublished - 3 Feb 2014

Keywords

  • Bispectrum
  • Vibrations
  • Gears
  • Fault diagnosis
  • MESHING VIBRATION
  • DEMODULATION
  • WAVELET
  • SPECTRUM
  • DOMAIN
  • PHASE
  • NOISE

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