Short-time averages within experiments plus temporal-preserving models like CNNs cut multiphase mass flow metering errors to 4.3% MAPE on air-water-oil data, outperforming single-averaged baselines.
A novel heteroge- neous ensemble approach to variable selection for gas–liquid two-phase CO2 flow metering,
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Temporal Data and Short-Time Averages Improve Multiphase Mass Flow Metering
Short-time averages within experiments plus temporal-preserving models like CNNs cut multiphase mass flow metering errors to 4.3% MAPE on air-water-oil data, outperforming single-averaged baselines.