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

被引：72

作者：

Shen Guoji ^{[1
]}

McLaughlin, Stephen ^{[2
]}

Xu Yongcheng ^{[1
]}

White, Paul ^{[3
]}

机构：

[1] Natl Univ Def Technol, Coll Mech Engn & Automat, Changsha 410073, Hunan, Peoples R China

[2] Heriot Watt Univ, Sch Engn & Phys Sci, Edinburgh EH14 4AS, Midlothian, Scotland

[3] Univ Southampton, Inst Sound & Vibrat Res, Southampton SO17 1BJ, Hants, England

来源：

MECHANICAL SYSTEMS AND SIGNAL PROCESSING | 2014年 / 43卷 / 1-2期

关键词：

Bispectrum; Vibrations; Gears; Fault diagnosis; DEMODULATION; WAVELET; PHASE; NOISE;

D O I：

10.1016/j.ymssp.2013.08.023

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

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.

引用

页码：76 / 89

页数：14

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