The order multi-scale morphology demodulation of the vibration signal of a fault gearbox with rotating speed fluctuation

被引：0
|
作者：
Luo J. [1 ]
Yu D. [1 ]
Peng F. [1 ]
机构：
[1] State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University
来源：
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2010年 / 46卷 / 11期
关键词：
Chirplet; Fault diagnosis; Multi-scale morphology; Order tracking; Signal-to-noise ratio;
D O I：
10.3901/JME.2010.11.114
中图分类号：
学科分类号：
摘要：
The order multi-scale morphology demodulation approach is proposed to extract the fault characteristic frequency from the vibration signal of a fault gearbox with rotating speed fluctuation. The chirplet path pursuit algorithm is used to obtain the rotation speed signal of the gearbox. According to the rotation speed signal, the time domain vibration signal of the gearbox is resampled at constant angle increments. An algorithm based on the information of local peaks of the signal is used to figure out the structuring elements for multiscale morphology analysis. The structuring elements are used to carry out morphology operations on the resampled signal. Spectral analysis on the average value of the operation results is carried out, so as to accomplish the order multi-scale morphology demodulation. Since the noise components do not correlate with the chirplet functions closely, the chirplet path pursuit algorithm can extract the rotation speed effectively even if the signal-to-noise ratio of the vibration signal is very low. By averaging the results of each scale morphology analysis, the multi-scale morphology demodulation can restrain the noise effectively. The proposed approach has good anti-noise ability, and is suitable for analyzing the actual vibration signal of a gearbox with rotating speed fluctuation. Simulation and practical application examples prove the validity and superiority of the proposed method. ©2010 Journal of Mechanical Engineering.
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页码：114 / 120+128
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