公开(公告)号：US20250147501A1

公开(公告)日：2025-05-08

申请号：US18503866

申请日：2023-11-07

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Dennis J. Luo ,  Meiling He ,  Justice Darko ,  Ishit Patni ,  Fatime Ly Seymour ,  Francisco P. Maturana

IPC: G05B23/02

Abstract: A method may include receiving, via a processing system, a selection of a first dataset associated with one or more operations of one or more industrial automation components of an industrial system that may perform a batch operation. The method may involve generating an optimized dataset based on the dataset, receiving a second dataset associated with one or more additional operations of one or more additional industrial automation components of an additional industrial system that may perform an additional batch operation, and determining one or more deviations between the optimized dataset and the second dataset. The method may also involve determining a contribution of each of a set of parameters to the one or more deviations and generating a visualization representative of the contribution of each of a set of parameters to the deviation.

公开(公告)号：US20250147488A1

公开(公告)日：2025-05-08

申请号：US18503898

申请日：2023-11-07

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Meiling He ,  Dennis J. Luo ,  Justice Darko ,  Ishit Patni ,  Ankan Chowdhury ,  Tasha Markovich ,  Fatime Ly Seymour ,  Francisco P. Maturana

IPC: G05B19/418

Abstract: A method may include receiving, via graphical user interface (GUI) of a processing system, a selection of a dataset associated with one or more operations of one or more industrial automation components of an industrial system. The method may also include receiving, via the GUI of the processing system, a set of input variables associated with the dataset, receiving a target variable associated with the dataset, and receiving a model type for analyzing the dataset. The method may also involve determining, via the processing system, a contribution of each of the set of input variables to the target variable based on the model type; and generating, via the processing system, a visualization representative of one or more statistical relationships between each of the set of input variables and the target variable based on the contribution of each of the set of input variables to the target variable.