Abstract
The principle and algorithm of Empirical mode decomposition (EMD) and ensemble empirical mode decomposition (EEMD) is introduced, and two methods are respectively used to analyze simulated signal and engine's vibration signals. Based on EEMD, the signal can be efficiently decomposed into a finite number of intrinsic mode functions (IMFs) by adding white noise, and the problem of mode mixing in frequency which is drawback of EMD is avoided. Experimental results show that EEMD has obvious superiority to EMD on processing vibration signal, and the method may be applied to fault diagnosis of diesel engine by efficiently extracting fault feature in the marginal Hilbert spectrum.
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