公开(公告)号：US11415438B2

公开(公告)日：2022-08-16

申请号：US16930786

申请日：2020-07-16

Applicant: ExxonMobil Technology and Engineering Company

Inventor： George A. Khoury ,  Erin S. Percell ,  Mohsen N. Harandi ,  Nicholas W. Silvestri

IPC: G01D21/02 ,  G06N3/04 ,  G06N3/08

Abstract: A method for identifying sensor drift can include: setting an autocorrelation threshold for a sensor in a long-short term memory (LSTM) model developed based on historical process measurements from an analogous sensor to a sensor; collecting measured data from the sensor; applying the LSTM model to the measured data from the sensor, wherein applying the LSTM model comprises: applying the LSTM model to the measured data from the sensor to yield LSTM predicted data; calculating key performance indicators (KPIs) of the LSTM data based on an accumulated slow drift error (ASDE) model, wherein the KPIs comprise an error, an accumulated prediction error, an accumulated slow-drift error, and an estimated autocorrelation; and identifying sensor drift when the estimated autocorrelation violates the autocorrelation threshold.