Time series Forecasting to detect anomalous behaviours in Multiphase Flow Meters
Università degli Studi di Padova（帕多瓦大学）；Pietro Fiorentini（彼得罗·菲奥伦蒂尼公司）
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
