The　signal　phase　differences　of　Coriolis　sensor　and　the　mass　flow　are　proportional.　To　improve　the　measurement　accuracy　of　flow　signal　processing　for　Coriolis　mass　flowmeter,　a　novel　method　based　on　Hilbert　Transform　algorithm　was　proposed.　The　main　method　is　as　follows,　two　signals　enhanced　by　LZ-filter　with　noise-canceling　were　considered　as　Hilbert　Transform,　then,　the　phase　difference　of　the　two　filtered　signals　was　calculated　by　a　triangle　characteristic　of　sin　function.　Synchronously,　the　instantaneous　frequency　was　estimated　by　the　structure　of　the　analytical　signal.　Finally,　the　mass　flow　value　was　obtained　by　calculating　the　phase　difference.　The　simulation　experiments　and　Digital　Signal　Processing　system　(DSP)　verification　testing　demonstrate　that　the　new　signal　processing　method,　which　is　the　LZ　algorithm,　has　better　characteristics　of　real-time　and　high-precision　than　the　others.　The　experimental　results　show　that　the　accuracy　of　phase　difference　measurement　is　0.02%　and　the　tracking　accuracy　of　frequency　is　better　than　0.07%.　©　2018　World　Scientific　Publishing　Company