Denoising Method of Vortex Flowmeter Signal in Oscillatory Flow Based on Hilbert Huang Transformation

In this paper, Hilbert Huang transform (HHT) method is used to reduce vortex flow meter signal noise in oscillatory flow. The empirical mode decomposition (EMD)-scales filtering is used to erase vortex flow signal noise in oscillatory flow, and then the denoising effect of EMD-scales filter is compared with that of wavelet threshold filter using vortex flow meter signal noise in oscillatory flow. The signal simulation test shows that both EMD-scales filtering and wavelet threshold filtering can achieve good results, however, the former is more convenient and completely adaptive.