Linnert M, Mariager S, Rupitsch S, Lerch R (2018)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2018
Pages Range: 674 - 679
Conference Proceedings Title: 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2018) Proceedings
ISBN: 978-1-5386-2222-3
DOI: 10.1109/I2MTC.2018.8409600
This contribution addresses the electrochemical voltage
drift of electromagnetic flow meters. We will extend the
conventional discrete time alternating field method to continuous
operation. A Kalman filter, based on a state space model of the
sensor, was developed to separate the flow-proportional signal
from the noisy voltage drift of the electrodes. The new algorithm
allows to process flow information rarely used today, i.e., the
electrode voltage during times of stable magnetic field. Thereby
a lower energy consumption and an increased accuracy can
be achieved. Compared to conventional signal processing, the
performance of the new method is far more independent of
the transient behavior of the actual flow. Measurements show
a comparable accuracy, but with a significantly reduced energy
demand. Off-line signal processing let expect a theoretical power
reduction factor around 150.
APA:
Linnert, M., Mariager, S., Rupitsch, S., & Lerch, R. (2018). Dynamic Offset Correction of Electromagnetic Flow Meters. In IEEE (Eds.), 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC 2018) Proceedings (pp. 674 - 679). Houston, US.
MLA:
Linnert, Michael, et al. "Dynamic Offset Correction of Electromagnetic Flow Meters." Proceedings of the 2018 IEEE International Instrumentation & Measurement Technology Conference, Houston Ed. IEEE, 2018. 674 - 679.
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