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Smart signal acquisition and signal processing methods are necessary for a robust and highly dynamic mass flow measurement on basis of the Coriolis principle, which allows the direct determination of the mass flow independent of process conditions with a precision of 0.2% of reading. Optical sensors which record the movement of the flow pipe have been designed and arranged with focus on fast signal processing and low complexity for a Cramer-Rao optimal information analysis. Therefore it is possible to recognize and compensate superimposed movements of the flow pipe in all six degrees of freedom as well as aging effects of the sensor elements. This leads to an increased zero point stability and a greater flow measurement range. Several algorithms for online phase estimation like Hilbert transform, correlation, discrete-time Fourier transform and quadrature demodulation in combination with minimum phase filters are investigated to develop a system with minimal time delay.
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Ruoff et al. (2014) studied this question.
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