Journal of Vibration and Shock. 2014, (13) Core

Application of improved enhanced kurtogram and enhanced envelope spectrum in fault diagnosis of rolling bearingsChinese Full Text

TANG Gui-ji;WANG Xiao-long;DENG Fei-yue;School of Energy,Power and Mechanical Engineering,North China Electric Power University;

Abstract: To effectively extract the fault features of rolling bearings,an improved enhanced kurtogram method based on harmonic wavelet packet decomposition was presented after analyzing the shortcoming of conventional enhanced kurtogram method based on binary wavelet packet decomposition. The node with the maximum kurtosis value was selected after the improved enhanced kurtogram of fault signal was computed,then the harmonic wavelet packet coefficient of the optimal node was used to reconstruct the signal and the reconstructed signal was successively analysed by using the enhanced envelope spectrum. The fault type of rolling bearing was judged by comparing the theoretical calculation value of fault characteristic frequency with the spectral lines whose amplitudes were obvious in the enhanced envelope spectrum.The simulated inner fault signal and the measured inner fault signal of rolling bearings were analyzed by the proposed method,and the diagnosis results show that the new method is reliable and can meet the actual requirements.

Keywords：

improved enhanced kurtogram; enhanced envelope spectrum; rolling bearings; fault diagnosis;

DOI：
10.13465/j.cnki.jvs.2014.13.009
Series：
Subject：
Classification Code：
TH133.3;TH165.3

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Application of improved enhanced kurtogram and enhanced envelope spectrum in fault diagnosis of rolling bearingsChinese Full Text

TANG Gui-ji;WANG Xiao-long;DENG Fei-yue;School of Energy,Power and Mechanical Engineering,North China Electric Power University;

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