A De-Noising Method for Velocity Signal in Impinging Stream Mixer Based on Empirical Mode Decomposition

The velocity time series signal of the flow field in impinging stream mixer (ISM) contains a lot of dynamic information. It is the comprehensive reflection of many factors such as the physical properties, the motion characteristics and the flow structures of the fluid. The measured velocity signal denoising process is the key to improve the signal reliability and accuracy. A de-noising method for velocity signal in ISM based on empirical mode decomposition (EMD) was proposed. To distinguish noise and useful signal in intrinsic mode function (IMF), the consecutive mean square error (CMSE) was used, then the modes reflecting the important structures of the signal were combined together to form partially reconstructed denoised signal. The results indicated that this method can efficiently and adaptively remove noise, and this method can not be affected by subjective parameters.