To further improve the newly proposed improved envelope spectrum via feature optimisation-gram ( IESFO), which may be invalid on early fault weak faulty characteristic extraction of rolling elements bearing and required high frequency resolution, the MOMEDA impact enhancement based on spectral correlation filtering is proposed to extract the fault characteristics of rolling element bearing. Firstly, the optimized demodulation frequency band is determined by IESFO algorithm for band-pass filtering. Then, the impact of bearing failure of the filtered signal is enhanced by the multipoint optimal minimum entropy deconvolution adjusted ( MOMEDA) algorithm. Finally, envelope analysis is performed. The research results based on actual measured signals show that the proposed method can detect the incipient fault information of bearings earlier than most existing methods during the performance degradation process of rolling elements bearing. Another, the proposed method can also be utilized to extract the characteristic frequency of bearing fault under compound fault condition.