Diagnosis method of turbine gearbox gearcrack based on wavelet packet and cepstrum analysis

被引：0

作者：

Luo, Yi ^{[1
]}

Zhen, Li-Jing ^{[1
]}

机构：

[1] School of Control and Computer Engineering, North China Electric Power University, Beijing

来源：

Zhendong yu Chongji/Journal of Vibration and Shock | 2015年 / 34卷 / 03期

关键词：

Cepstrum; Fault diagnosis; Gear-crack; Turbine gear; Wavelet packet;

D O I：

10.13465/j.cnki.jvs.2015.03.034

中图分类号：

学科分类号：

摘要：

In order to monitor and maintain a turbine gearbox in time, a method to diagnose turbine gearbox gearcrack based on wavelet packet and cepstrum analysis was proposed. According to the characteristics of gear-crack vibration signals with meshing frequency and its octave modulated by rotating speed frequency, the meshing frequency range of fault positions were obtained through wavelet packet frequency-band energy monitoring. The wavelet packet decomposition was put forward to identify the fault features of the vibration signals. Considering that the cepstrum could be used to separate and extract the periodic components of the dense modulated signals being difficult to identify, and based on that it also could recognize the rotating speed-frequency of fault positions, the type and location of faults were diagnosed using meshing frequency and rotating speed frequency obtained with these two kinds of spectral analysis methods. The test results showed that the proposed method can be used to diagnose gear-crack faults accurately, and moreover, this method can be applied to monitor the degraded states of wind turbine gears in complex environment and prevent major faults, such as, broken teeth from occurring. ©, 2015, Chinese Vibration Engineering Society. All right reserved.

引用

页码：210 / 214

页数：4

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