FAULT DETECTION OF GEARBOX WITH VIBRATION SIGNAL ANALYSIS BY A LINEAR COMBINATION OF ADAPTIVE WAVELETS

被引:0
|
作者
Chen, Han-Xin [1 ]
Zuo, Ming J. [2 ]
机构
[1] Wuhan Inst Technol, Sch Mech & Elect Engn, Wuhan, Peoples R China
[2] Univ Alberta, Dept Mech Engn, Edmonton, AB T6G 2M7, Canada
基金
加拿大自然科学与工程研究理事会; 湖北省教育厅重点项目;
关键词
Fault detection; Model-based method; Hilbert transform; LIFTING SCHEME; DIAGNOSIS;
D O I
10.1109/ICWAPR.2009.5207415
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we propose a novel method for identification of gear crack from the low-frequency modulated vibration signal, based on Hilbert transform and adaptive wavelet transform (AWT). Hilbert transform is used to present the envelope of the modulated vibration signal to show the modulating frequency. AWT is applied to process the modulated vibration signal by Hilbert transform. The proposed AWT can match the vibration signal with the meshing frequency and its harmonies, the coupling frequency, the carrier frequency, and their sidebands by an optimized wavelet. The model-based method by AWT is applied to extract the envelop features from the modulated vibration signal. Both simulated and experimental vibration signals arc used to test the proposed method.
引用
收藏
页码:340 / +
页数:2
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