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arXiv · 2301.00014

Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters

Tommaso Barbariol·Davide Masiero·Enrico Feltresi·Gian Antonio Susto
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Abstract

An Anomaly Detection (AD) System for Self-diagnosis has been developed for Multiphase Flow Meter (MPFM). The system relies on machine learning algorithms for time series forecasting, historical data have been used to train a model and to predict the behavior of a sensor and, thus, to detect anomalies.

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Tommaso Barbariol, Davide Masiero, Enrico Feltresi, Gian Antonio Susto. 2022-12-30. Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters. https://arxiv.org/abs/2301.00014

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