Predictions For A Process In An Industrial Plant

    公开(公告)号:US20220035346A1

    公开(公告)日:2022-02-03

    申请号:US17413020

    申请日:2019-11-25

    Applicant: ABB Schweiz AG

    Abstract: To generate real-time or at least near real-time predictions for a process in an industrial plant, a set of neural networks are trained to create a set of trained models. The set of trained models is then used to output the predictions, by inputting online measurement results in an original space to two trained models whose outputs are fed, as reduced space inputs and reduced space initial states, to a third trained model. The third trained model processes the reduced space inputs to reduced space predictions. They are fed to a fourth trained model, which outputs the predictions in the original space.

Patent Agency Ranking