Spectral　coherence　(SCoh)　consists　of　spectral　and　cyclic　frequencies　and　exhibits　unique　merits　in　simultaneously　revealing　the　resonance　frequency　band　and　the　fault　characteristic　frequency　(FCF)　of　bearing　signals.　Most　SCoh-based　methods　only　consider　the　spectral　frequency　information,　while　the　cyclic　frequency　information　is　ignored.　However,　the　fault　information　and　interference　components　are　difficult　to　distinguish　when　only　the　spectral　frequency　is　considered.　To　address　this　challenge,　a　novel　bidirectional　weighted　enhanced　envelope　spectrum　(BWEES)　analysis　method　is　proposed　in　this　paper.　First,　an　improved　spectral　weighting　method　is　developed,　which　is　conducted　in　the　spectral　frequency　direction　to　enhance　the　resonance　frequency　band　that　carries　the　fault　information.　An　autocorrelation　function　is　exploited　to　reveal　the　cyclic　information　hidden　in　noises　and　appropriate　weights　are　assigned　to　the　spectral　frequencies　according　to　the　magnitudes　of　autocorrelation　values.　Second,　a　cyclic　weighting　function　is　designed,　which　is　operated　in　the　cyclic　frequency　direction　to　enhance　the　FCF　and　suppress　noise　interference.　The　cyclic　frequency　components　with　the　highest　magnitudes　are　selected　as　a　basis　to　reconstruct　the　one-dimensional　cyclic　frequency　map　for　assigning　different　weights.　Finally,　the　two-dimensional　weighted　bivariable　map　is　constructed　and　then　converted　into　spectral　coherence　to　reveal　the　fault　features.　The　BWEES　is　tested　by　simulation　signals　and　experimental　data,　and　compared　with　four　state-of-art　methods.　In　particular,　the　kurtosis　values　of　BWEES　in　four　different　cases　are　7.637,　12.831,　15.269,　and　80.269,　which　are　higher　than　other　methods.　The　Gini　index　values　of　BWEES　in　four　different　cases　are　0.866,　0.812,　0.424,　and　0.306,　which　are　also　the　largest.　The　above　numerical　results　show　that　BWEES　can　achieve　better　performance.