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

Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters