Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters

2022-12-30 · Tommaso Barbariol, Davide Masiero, Enrico Feltresi, Gian Antonio Susto

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.

📄 PDF Abstract BibTeX arXiv:2301.00014

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Anomaly DetectionTime SeriesTime Series Analysis Time Series Forecasting

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