Research on Shearer Rocker Gearbox Fault Location Based on Wavelet Envelope Demodulation

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Abstract:

To solve the problem of faults location for shearer rocker gearbox, the multiple sites vibration signal of faulty rocker gearbox are collected, as well as the Morlet wavelet envelope demodulation is applied to demodulate vibration signal and Fourier transform is used to carry out frequency spectrum analysis of vibration signal. Experimental results show that this method can effectively extract the faults feature frequency from complex vibration signal. The faults location result is consistent with actual faults part. This mean realizes to locate faults accurately. It provides an effective method for mechanical faults diagnosis of shearer.

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210-216

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February 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Guoan Yang, Fault diagnosis technology of machinery devices, China Petrochemical Press, Beijing, (2007).

Google Scholar

[2] Kang Ding etc., Fault diagnosis technology of gear and gearbox, Machinery Industry Press, Beijing, (2005).

Google Scholar

[3] Lin J., Zuo M. J., Extraction of periodic components for gearbox diagnosis combining wavelet filtering and cyclostationary analysis, Journal of Vibration and Acoustics, 2004, 126(3) 449-s451.

DOI: 10.1115/1.1760565

Google Scholar

[4] Fan X. F., Zuo M.J., Gearbox fault detection using Hilbert and wavelet packet transform, Mechanical Systems and Signal Processing, 2006, 20(4) 966-982.

DOI: 10.1016/j.ymssp.2005.08.032

Google Scholar

[5] Zhi Li, Xiangchu Chen, Zhengbo Liu, Envelopment Analysis and Application in Fault Diagnosis, Test and Measurement Technology, 2002(02).

Google Scholar

[6] R.B. Randall, Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications, (2011).

Google Scholar

[7] Xiaoyi Hu, Qingxia He, Huasheng Wang, Vibration signal demodulation method based on STFT and tis application in rolling bearing fault detection, Journal of Vibration and shock. 2008, 27(2) 82.

Google Scholar

[8] Songling He, Weihua Li, Morlet Wavelet and Its Application in Enveloping, Journal of Vibration and Shock. 2002, 15(1) 119.

Google Scholar

[9] Lin Liang, Guanghua Xu, Optimal encelope demodulation method based on adaptive complex shifited morlet wavelet in bearing diagnosis, Chinese jurnal of mechanical engineering. 2006, 42(10) 151-155.

DOI: 10.3901/jme.2006.10.151

Google Scholar

[10] Hongying Yu, The research on fault signal extraction technology of mechanical system, North University of China, 2005. 10.

Google Scholar