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| Study of Roller Bearing Fault Diagnosis Based on the Improved Empirical Mode Decomposition |
| ZANG Huai-gang,LI Qing-zhi,HAN Yan-long,WANG Shi-yun |
| Institute of Electrical Engineering, Yanshan University, Qinhuangdao, Hebei 066004, China |
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Abstract The traditional time-frequency analysis method can not effectively process non-stationary signals. The empirical mode decomposition (EMD) is very suitable for processing the non-stationary signals, but the results may appear pseudo-intrinsic mode functions (IMF) and insensitive intrinsic mode functions. For the lack of EMD, the method combined with energy threshold law and sensitive IMF select wears to identify the true IMF and sensitive IMF is proposed, then the spectrum transformation of IMF satisfying these two conditions and the diagnostic results are given. The fault information can be clearly presented on spectrogram. The improved EMD decomposition is applied to the fault diagnosis of rolling bearing to prove the feasibility and accuracy of this method.
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2013, Vol. 34 
