Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters

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.

Tasks

Reproductions