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    Abstract
2013 (Vol. 5, Issue: 12)
Article Information:

A Fault Detection Method of Rolling Bearing Based on Wavelet Packet-cepstrum

Jun Ma, Jiande Wu, Xiaodong Wang, Yugang Fan and Tingting Leng
Corresponding Author:  Jiande Wu 

Key words:  Cepstrum, energy feature, fault detection, wavelet packet decomposition and reconstruction , , , ,
Vol. 5 , (12): 3402-3406
Submitted Accepted Published
September 16, 2012 October 31, 2012 April 10, 2013
Abstract:

In this study, we put forward a fault detection method of rolling bearing based on the wavelet packet-cepstrum. Firstly, the original signal is decomposed using the wavelet packet. Secondly, calculate the energy of the decomposed sub-band reconstruction signal and select the relatively band which is concentrated on the fault energy. Finally, calculate cepstrum of the reconstruction signal to detect fault. The actual normal and fault data of the rolling bearing's outer ring is analyzed in applying this method in the MATLAB simulation circumstance. The result shows that the outer ring's failure frequency measured by the experiment is consistent with the theoretical calculation result.
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  Cite this Reference:
Jun Ma, Jiande Wu, Xiaodong Wang, Yugang Fan and Tingting Leng , 2013. A Fault Detection Method of Rolling Bearing Based on Wavelet Packet-cepstrum.  Research Journal of Applied Sciences, Engineering and Technology, 5(12): 3402-3406.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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