Time-varing rotational speed and gear noise are key problems of rolling element bearing fault diagnosis in rotating machinery.Although there are some effective algorithms for them,the problems that rely on auxiliary equipment and complicated steps are still outstanding.A new method of rolling element bearing fault diagnosis based on Instantaneous Dominant Meshing Multiply(IDMM) and Empirical Mode Decomposition (EMD) is proposed.The new method firstly extract IDMM from time-frequency representation by peak searching algorithm,IDMM is equivalent to bearing rotating frequency,signal resampling by IDMM and mixed signal.Then,the method decomposes resampled signal by EMD,calculates cross-correlation coefficient between IMFs and resampled signal and selects IMFs by threshold value of cross-correlation coefficient.Finally,the selected IMFs are analyzed with envelope spectrum.The effectiveness of the proposed method has been validated by both simulated and experimental bearing vibration signals.