公开(公告)号：US20230119842A1

公开(公告)日：2023-04-20

申请号：US17910869

申请日：2021-03-17

Applicant: TotalEnergies One Tech

Inventor： Sébastien GOURVENEC ,  Régis CAHORS

IPC: G05B23/02 ,  G05B13/04 ,  B01D3/42

Abstract: The invention relates to a method for predicting flooding in a distillation column by machine learning including a constructing and training phase of a machine learning model obtained from previously collected data and from a set of sensors, an operational phase for predicting flooding(s), by collecting a current data flow until a buffer is filled, pre-processing data from the data buffer by predetermined cleansing and classification, synchronizing the data of the current set of clean and classified data, determining a value of a current variable representative of at least one current performance of the at least one distillation column, forming a current set of transformed data by calculating predetermined derivatives, and predicting the current state of said distillation column by applying said learning model to said current set of transformed data.