The frequencyweighted energy operatorcan can be used to eliminate the noise component and highlight the fault impact component by tracking the instantaneous energy of signal,it shows strong antijamming character in bearing signal processing.Unfortunately,the diagnosis result of FWEO is not satisfactory in the case of strong noise background.Aimed at this issue,MED was proposed as a pretreatment process before FWEO to eliminate the influence of transfer path in the process of sampling and improve the signaltonoise ratio. Then,FWEO was employed to calculate the energy of signal,which could suppress inband noises and further enhanced fault impact characteristics from the perspective of signal energy. Finally,the diagnosis results were obtained by envelope spectrum analysis. Both synthetic and experimental data show that the proposed method can be used to eliminate noise significantly and extract the fault component accurately in bearing fault signal under strong noise interference.