Research on Digital Signal System of Coriolis Mass Flowmeter Based on Deep Learning

This paper mainly studies the Coriolis flowmeter signal enhancement and frequency estimation method of deep learning and the calculation method of Coriolis flowmeter signal time difference based on discrete Fourier transform and sliding Goertezl algorithm. According to the characteristics of Coriolis flowmeter signal, a Coriolis flowmeter time-varying signal model based on random walk model is proposed. The proposal of the model and the research on its related signal processing methods. The signal enhancement and frequency estimation methods of the direct HR adapti ve spectral line enhancer are used, and the implementation of the algorithm under the time-invariant and time-varying signal models are respectively given.