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Title: Machine Learning For Condition- Based Flowmeter Management
Author: Kojo Sarfo Gyamfi James Brusey Andrew Hunt Elena Gaura
Source: 2016 FMI Conference
Year Published: 2016
Abstract: Flowmeters Subject to deviation: Waxing, Noise, Meter misalignment, etc. Problem of incorrect measurement - high flowrate attracts high tax liabilities. Recalibration: time of operation. Two main problems: 1) Malfunctioning meter before schedule. 2) Perfectly operating meter at schedule. e.g. u30,000 for USM recalibration 5 Condition- based flowmeter management (CBM

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