Composite Fault Diagnosis of Rolling Bearings Based on EMD and ICA Algorithm

Aiming at the difficulty of separating rolling bearing composite faults in the case of single channel signal, a new algorithm based on empirical mode decomposition (EMD) and independent component analysis (ICA) was proposed in this paper. First, the composite bearing fault signals collected for a single channel were decomposed by EMD to obtain some intrinsic mode function (IMF) .Then, main components were confirmed by calculating the correlation coefficient of every IMF and original composite signal and kurtosis value of every IMF. At the same time, main components with original signal were processed by ICA to realize the separation of composite fault of rolling bearings.Experimental results show that this method can effectively separate early rolling bearings composite fault.