Research on the Improved Wavelet Threshold Denoising Method for Coriolis Mass Flowmeter

摘要

In view of the fact that Coriolis mass flowmeter is sensitive to noise and has poor anti-jamming ability, this paper applies an improved wavelet threshold signal processing method to overcome this problem. This method can be changed with the number of decomposed layers, as it is shown flexibility in practice situation. In this paper, Signal Noise Ratio and Mean Square Error are used as the parameters to evaluate the denoising performance. The simulation results show that the improved wavelet threshold signal processing algorithm can better reduce the influence of noise and improve the quality of output signal compared with the traditional wavelet threshold processing algorithm. It lays a foundation for the accurate measurement of Coriolis mass flowmeter.