For further study about diagnosis of the fault type and location forthe rolling bearing, the method by using the acoustic array signals analysis with EEMD decomposition is proposed.Based on the kurtosis and power index values, the EEMD decomposition is carried out and the IMF component including faults information is extracted. After computing the theoretical fault frequency and the harmonics of the bearing’s components, the narrow band filter is used for the extracted IMF component and Hilbert transform is done consciously for envelope spectrum, which is used to determine the fault type. Also the extracted IMF components filtered with narrow band filter for each acoustic array signals are used as input signals for the acoustical image analysis to the fault location. Finally, the verified experiments are carried out and results showed thatby using this method the diagnosis could be more intuitive to determine the fault location and fault types, which is better forthe bearing fault determination of the drive system, the maintenance and reasonable maintenance decision and improving the service quality.