PurposeThis　paper　is　aimed　to　separate　each　mode　and　identify　modal　damping　accurately　in　multimodal　signals.　A　novel　damping　identification　strategy　based　on　DOA-VMD-EIM　(variational　mode　decomposition　optimized　by　dingo　optimization　algorithm　combined　with　envelope　integral　method)　for　aeroengine　mounting　pedestals　is　presented　in　this　work.MethodsEnergy　difference　indicator　is　firstly　constructed　by　difference　between　the　total　vibration　energy　of　each　component　and　vibration　energy　of　original　signal.　Then,　the　variational　mode　decomposition　(VMD)　parameters　combination　(K,　&　alpha;,　&　tau;)　is　optimized　by　the　dingo　optimization　algorithm　(DOA)　using　the　minimum　energy　difference　index　as　optimization　objective.　Furthermore,　combined　with　envelope　integral　method　(EIM),　the　damping　ratio　is　deduced.　Finally,　the　proposed　DOA-VMD-EIM　method　is　verified　numerically　and　experimentally.ResultsNumerical　analysis　and　test　results　indicate　that　the　presented　DOA-VMD-EIM　technique　can　realize　correct　decomposition　of　each　component　of　vibration　signal,　and　obtain　more　accurate　damping　ratio　results　compared　to　classical　half　power　bandwidth　method　(HPBM).ConclusionsIt　is　experimentally　verified　that　the　proposed　DOA-VMD-EIM　damping　method　is　effective.　In　addition,　it　is　verified　that　the　Fe-12Cr-3Al　alloy　mounting　pedestal　has　better　damping　capacity.