公开(公告)号：US20250147737A1

公开(公告)日：2025-05-08

申请号：US18991211

申请日：2024-12-20

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Francisco P. Maturana ,  Meiling He ,  Ankan Chowdhury ,  Aderiano da Silva

IPC: G06F8/33

Abstract: An integrated development environment (IDE) for uses a generative artificial intelligence (AI) model to generate industrial control code in accordance with functional requirements provided to the industrial IDE system as natural language prompts. The system's generative AI model leverages both a code repository storing sample control code and a document repository that stores device or software manuals, program instruction manuals, functional specification documents, or other technical documents. These repositories are synchronized by digitizing selected portions of document text from the document repository into control code for storage in the code repository, as well as contextualizing control code from the code repository into text-based documentation for storage in the document repository.

公开(公告)号：US20240134362A1

公开(公告)日：2024-04-25

申请号：US18049345

申请日：2022-10-24

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Francisco P. Maturana ,  Meiling He ,  Raja Sekhar Katuri ,  Dennis J. Luo ,  Brian Taylor ,  Sachin Misra ,  Jay W. Schiele

IPC: G05B19/418

CPC classification number: G05B19/41885 ,  G05B19/4185 ,  G05B19/41865 ,  G05B19/4188

Abstract: A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. To reduce dependency on custom-built parsers for each type of document format, the system integrating both custom and general parsing mechanisms into a scalable parser orchestration engine.

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.

公开(公告)号：US20250145374A1

公开(公告)日：2025-05-08

申请号：US18502050

申请日：2023-11-05

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Yuhong Huang ,  Meiling He ,  Francisco P Maturana ,  Bijan SayyarRodsari

IPC: B65G1/04

Abstract: A system for distributing wear on multiple movers in an independent cart system includes a machine learning model executing on a processor. The machine learning model may include models of operation for each of the movers, and the machine learning model is operative to receive multiple inputs for each of the movers. Each of the inputs corresponds to an operating condition for one of the movers as the mover travels along a track for the independent cart system. Each of the inputs are received for each of the movers over multiple runs along the track, and the inputs received generate a training set of data for the movers. A weighting value is determined for each of the movers as a function of the training set of data, where the weighting value corresponds to a level of wear present on each of the movers.

公开(公告)号：US20240370001A1

公开(公告)日：2024-11-07

申请号：US18457466

申请日：2023-08-29

Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.

Inventor： Meiling He ,  Justice Darko ,  Dennis J. Luo ,  Jay W. Schiele ,  Fatime Ly Seymour ,  Francisco P. Maturana

IPC: G05B19/418

Abstract: An illustrative method includes a batch analytic system receiving batch data of a batch generated in an industrial process, wherein the batch data includes a set of samples associated with the batch, the batch is complete and has a first batch length, determining a reference batch based on a plurality of non-anomalous batches generated in the industrial process, wherein each non-anomalous batch has a same second batch length, generating a batch representation of the batch based on the batch data of the batch and the reference batch, wherein the batch representation of the batch aligns with the reference batch and has the second batch length associated with the reference batch, and performing an operation using the batch representation of the batch.

公开(公告)号：US20240134358A1

公开(公告)日：2024-04-25

申请号：US18049367

申请日：2022-10-24

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Francisco P. Maturana ,  Meiling He ,  Raja Sekhar Katuri ,  Dennis J. Luo ,  Brian Taylor ,  Sachin Misra ,  Jay W. Schiele

IPC: G05B19/418 ,  G06F8/41

CPC classification number: G05B19/41865 ,  G05B19/41845 ,  G06F8/427

Abstract: A digital technology transfer system transforms technology transfer documents to a set of digitized manufacturing procedures and operations documentation. The system can transform a technology transfer document to a hierarchical structured model representing a package, or product to be manufactured, and the process for manufacturing the product. The resulting package model can be integrated into a larger model representing an ecosystem of manufacturing entities and plant facilities by assigning steps of the manufacturing process to one or more selected production lines. To reduce dependency on custom-built parsers for each type of document format, the system integrating both custom and general parsing mechanisms into a scalable parser orchestration engine.

公开(公告)号：US20230237371A1

公开(公告)日：2023-07-27

申请号：US17661408

申请日：2022-04-29

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Meiling He ,  Francisco P, Maturana ,  Dennis J. Luo ,  Robert Nunoo ,  Jay W. Schiele

IPC: G06N20/00

CPC classification number: G06N20/00

Abstract: Various embodiments relate to systems and methods for providing machine learning of supervised and unsupervised data by: receiving a set of industrial data associated with one or more industrial components within an industrial system; generating a classification for each of the set of industrial data using each of a set of models; generating an evaluation value for each of the set of models based on the classifications for each industrial data; and selecting one or more models according to the evaluation values.

公开(公告)号：US20240385611A1

公开(公告)日：2024-11-21

申请号：US18596193

申请日：2024-03-05

Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.

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

IPC: G05B23/02 ,  G05B19/408

Abstract: A method comprises determining that a batch generated in an industrial process (IP) is anomalous at a sample point k during the batch, the batch is ongoing; determining a process variable (PV) of the IP based on a variable contribution of the PV towards the batch being anomalous at the sample point k; determining a recommended value of the PV based on an anomaly metric corresponding to the sample point k of an assessment batch, the assessment batch is created based on sample(s) of the batch at the sample point k and the recommended value of the PV, the anomaly metric corresponding to the sample point k of the assessment batch is determined based on a T2-statistic metric corresponding to the sample point k and a Q-statistic metric corresponding to the sample point k of the assessment batch; and adjusting the IP based on the recommended value of the PV.

公开(公告)号：US20240361757A1

公开(公告)日：2024-10-31

申请号：US18308234

申请日：2023-04-27

Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.

Inventor： Dennis J. Luo ,  Justice Darko ,  Meiling He ,  Jay W. Schiele ,  Fatime Ly Seymour ,  Francisco P. Maturana

IPC: G05B19/418

CPC classification number: G05B19/41875 ,  G05B19/41865

Abstract: An illustrative method includes an anomaly detection system determining, for a batch generated in an industrial process, a T2-statistic metric and a Q-statistic metric of the batch in a principal component analysis (PCA) model associated with the industrial process, determining an anomaly metric of the batch based on the T2-statistic metric and the Q-statistic metric of the batch in the PCA model, determining that the batch is anomalous based on the anomaly metric of the batch, and performing an operation in response to determining that the batch is anomalous.

公开(公告)号：US20210341901A1

公开(公告)日：2021-11-04

申请号：US17038770

申请日：2020-09-30

Applicant: Rockwell Automation Technologies, Inc.

Inventor： Robert J. Miklosovic ,  Meiling He

IPC: G05B19/406 ,  G06N20/00

Abstract: Various embodiments of the present technology generally relate to condition monitoring in industrial environments. More specifically, some embodiments relate to an embedded analytic engine for motor drives that monitors induction motor conditions for potential failures including rotor faults and stator faults. In an embodiment, a condition monitoring module is configured to obtain runtime signal data from a controller within a drive, derive runtime metrics from the runtime signal data based on an induction motor fault condition, provide the runtime metrics as input to a machine learning model constructed to identify a status of the induction motor based on the runtime metrics and output the status, and monitor the induction motor fault condition based on the status of the induction motor output by the machine learning model.