A phase difference measurement method based on strong tracking filter for Coriolis mass flowmeter

2019 ◽  
Vol 90 (7) ◽  
pp. 075003 ◽  
Author(s):  
Nan Chen ◽  
Shangchun Fan ◽  
Dezhi Zheng
Keyword(s):  
Phase Difference ◽  
Measurement Method ◽  
Mass Flowmeter ◽  
Difference Measurement ◽  
Coriolis Mass Flowmeter ◽  
Strong Tracking Filter ◽  
Tracking Filter

A New Method for Phase Difference Estimation Based on Time-Varying Signal Model

2013 ◽  
Vol 333-335 ◽  
pp. 650-655
Author(s):  
Peng Hui Niu ◽  
Yin Lei Qin ◽  
Shun Ping Qu ◽  
Yang Lou
Keyword(s):  
Signal Processing ◽  
Real Time ◽  
Phase Difference ◽  
Time Signal ◽  
Time Interval ◽  
Time Varying ◽  
Signal Model ◽  
Time Frequency ◽  
Mass Flowmeter ◽  
Coriolis Mass Flowmeter

A new signal processing method for phase difference estimation was proposed based on time-varying signal model, whose frequency, amplitude and phase are time-varying. And then be applied Coriolis mass flowmeter signal. First, a bandpass filtering FIR filter was applied to filter the sensor output signal in order to improve SNR. Then, the signal frequency could be calculated based on short-time frequency estimation. Finally, by short window intercepting, the DTFT algorithm with negative frequency contribution was introduced to calculate the real-time phase difference between two enhanced signals. With the frequency and the phase difference obtained, the time interval of two signals was calculated. Simulation results show that the algorithms studied are efficient. Furthermore, the computation of algorithms studied is simple so that it can be applied to real-time signal processing for Coriolis mass flowmeter.

scholarly journals A Phase Difference Measurement Method Based on the Extended Kalman Filter for Coriolis Mass Flowmeters

2019 ◽  
Vol 19 (2) ◽  
pp. 48-52
Author(s):  
Nan Chen ◽  
Shangchun Fan ◽  
Dezhi Zheng
Keyword(s):  
Kalman Filter ◽  
Extended Kalman Filter ◽  
Phase Difference ◽  
Measurement Method ◽  
Measurement Accuracy ◽  
Single Phase ◽  
Signal Frequency ◽  
Difference Measurement ◽  
Mallat Algorithm ◽  
Interference Signals

Abstract According to the characteristics of stable single-phase flow, a phase difference measurement method based on the extended Kalman filter is proposed in this paper for use with Coriolis mass flowmeters. Firstly, the Mallat algorithm is applied to filter out interference signals. Then, the frequency and phase difference of the two reconstructed signals are detected through the extended Kalman filter. Compared with the sliding Goertzel algorithm or discrete time Fourier transform, the proposed method does not need to predict the signal frequency and avoids quadratic error. Simulations and experiments show that the proposed method has stronger anti-interference, higher measurement accuracy and lower relative error than the existing method based on the Hilbert transformation.

A Novel Method Based on Hilbert Transform for Signal Processing of Coriolis Mass Flowmeter

2017 ◽  
Vol 32 (02) ◽  
pp. 1858001 ◽  
Author(s):  
Wei Lin ◽  
Jing-Lei Zhao
Keyword(s):  
Signal Processing ◽  
Phase Difference ◽  
Mass Flow ◽  
Hilbert Transform ◽  
Processing System ◽  
Tracking Accuracy ◽  
Signal Processing System ◽  
Mass Flowmeter ◽  
Coriolis Mass Flowmeter ◽  
Novel Method

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%.

A New Phase Difference Measurement Method and Its Implementation Based on FPGA

2012 ◽  
Vol 10 (5) ◽  
pp. 1270-1275 ◽  
Author(s):  
LV Chang-Zhi ◽  
Di Fan ◽  
Mao-Yong Cao ◽  
Qin-Guang Cai ◽  
Hong Yu
Keyword(s):  
Phase Difference ◽  
Measurement Method ◽  
Difference Measurement ◽  
New Phase
Sign in / Sign up

Export Citation Format

Share Document