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    Automated monitoring using image analysis
    1.
    发明授权
    Automated monitoring using image analysis 有权

    公开(公告)号：US12165302B2

    公开(公告)日：2024-12-10

    申请号：US17482040

    申请日：2021-09-22

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Bijan SayyarRodsari ,  Wei Dai ,  Alexander N. Berman ,  Kadir Liano

    IPC: G06T7/00 ,  G05B19/4155 ,  G05B19/418 ,  G06F18/21 ,  G06F18/2431 ,  G06N20/00

    Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, are configured to cause a processor to perform operations that include receiving image data after an operation is performed by an industrial automation device on a product; analyzing the image data based an object-based image analysis (OBIA) model to classify the product as one of a plurality of conditions related to manufacturing quality and the OBIA model includes property layers associated with features related to a manufacturing of the product; determining whether the one of the conditions indicates an anomaly being present in the product; sending a notification indicative of the one of the plurality of conditions is presently associated with the product; identifying a property layer associated with classifying the one of the plurality of conditions; and updating the OBIA model based on the property layer and the input indicative of the anomaly being incorrectly associated with the product.

    Predictive monitoring and diagnostics systems and methods
    3.
    发明授权
    Predictive monitoring and diagnostics systems and methods 有权

    公开(公告)号：US11604442B2

    公开(公告)日：2023-03-14

    申请号：US17358389

    申请日：2021-06-25

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Bijan Sayyarrodsari ,  Kadir Liano ,  Apurva Prakash Samudra ,  Alexander Barton Smith

    IPC: G05B13/04 ,  G05B23/02

    Abstract: System and method for improving operation of an industrial automation system, which includes a control system that controls operation of an industrial automation process. The control system includes a feature extraction block that determines extracted features by transforming process data determined during operation of an industrial automation process based at least in part on feature extraction parameters; a feature selection block that determines selected features by selecting a subset of the extracted features based at least in part on feature selection parameters, in which the selected features are expected to be representative of the operation of the industrial automation process; and a clustering block that determines a first expected operational state of the industrial automation system by mapping the selected features into a feature space based at least in part on feature selection parameters.

    SYSTEMS AND METHODS FOR RETRAINING A MODEL A TARGET VARIABLE IN A TIERED FRAMEWORK
    4.
    发明申请
    SYSTEMS AND METHODS FOR RETRAINING A MODEL A TARGET VARIABLE IN A TIERED FRAMEWORK 有权

    公开(公告)号：US20230016084A1

    公开(公告)日：2023-01-19

    申请号：US17932113

    申请日：2022-09-14

    Applicant: Rockwell Automation Technologies, Inc.

    Inventor： Bijan SayyarRodsari ,  Alexander B. Smith ,  Kadir Liano ,  Wei Dai ,  Yash P. Puranik

    IPC: G05B23/02 ,  G05B19/418

    Abstract: A method for operating an industrial automation system may involve receiving, via a first module of a plurality of modules in a control system, an indication that an error between a measurement associated with a target variable that corresponds with at least a portion of the industrial automation system and a modeled value for the target variable. The method may then involve determining, via the first module, whether the error is within a first range of values and retraining a model used to generate the modeled value for the target variable based on a portion of a plurality of sets of data points acquired via a plurality of sensors disposed in the industrial automation system in response to the error being within the first range of values.

    Systems and methods for retraining a model a target variable in a tiered framework
    5.
    发明授权
    Systems and methods for retraining a model a target variable in a tiered framework 有权

    公开(公告)号：US11449047B2

    公开(公告)日：2022-09-20

    申请号：US16146681

    申请日：2018-09-28

    Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.

    Inventor： Bijan SayyarRodsari ,  Alexander B. Smith ,  Kadir Liano ,  Wei Dai ,  Yash P. Puranik

    IPC: G05B23/02 ,  G05B19/418

    Abstract: A method for operating an industrial automation system may involve receiving, via a first module of a plurality of modules in a control system, an indication that an error between a measurement associated with a target variable that corresponds with at least a portion of the industrial automation system and a modeled value for the target variable. The method may then involve determining, via the first module, whether the error is within a first range of values and retraining a model used to generate the modeled value for the target variable based on a portion of a plurality of sets of data points acquired via a plurality of sensors disposed in the industrial automation system in response to the error being within the first range of values.

    Parametric universal nonlinear dynamics approximator and use
    7.
    发明授权
    Parametric universal nonlinear dynamics approximator and use 有权

    公开(公告)号：US11169494B2

    公开(公告)日：2021-11-09

    申请号：US14659003

    申请日：2015-03-16

    Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.

    Inventor： Bijan Sayyar-Rodsari ,  Edward S Plumer ,  Eric Hartman ,  Celso Axelrud ,  Kadir Liano

    IPC: G05B13/04 ,  G05B17/02

    Abstract: System and method for modeling a nonlinear process. A combined model for predictive optimization or control of a nonlinear process includes a nonlinear approximator, coupled to a parameterized dynamic or static model, operable to model the nonlinear process. The nonlinear approximator receives process inputs, and generates parameters for the parameterized dynamic model. The parameterized dynamic model receives the parameters and process inputs, and generates predicted process outputs based on the parameters and process inputs, where the predicted process outputs are useable to analyze and/or control the nonlinear process. The combined model may be trained in an integrated manner, e.g., substantially concurrently, by identifying process inputs and outputs (I/O), collecting data for process I/O, determining constraints on model behavior from prior knowledge, formulating an optimization problem, executing an optimization algorithm to determine model parameters subject to the determined constraints, and verifying the compliance of the model with the constraints.

    Optimization-based control with open modeling architecture systems and methods
    8.
    发明授权
    Optimization-based control with open modeling architecture systems and methods 有权

    公开(公告)号：US10528038B2

    公开(公告)日：2020-01-07

    申请号：US14995977

    申请日：2016-01-14

    Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.

    Inventor： Bijan Sayyarrodsari ,  Celso Axelrud ,  Kadir Liano

    IPC: G05B19/00 ,  G05B19/418 ,  G05B13/04 ,  G06F8/30 ,  G06F17/13

    Abstract: In one embodiment, a model predictive control system for an industrial process includes a processor to execute an optimization module to determine manipulated variables for the process over a control horizon based on simulations performed using an objective function with an optimized process model and to control the process using the manipulated variables, to execute model modules including mathematical representations of a response or parameters of the process. The implementation details of the model modules are hidden from and inaccessible to the optimization module. The processor executes unified access modules (UAM). A first UAM interfaces between a first subset of the model modules and the optimization module and adapts output of the first subset for the optimization module, and a second UAM interfaces between a second subset of the model modules and the first subset and adapts output of the second subset for the first subset.

    Device control using processed sensor data corresponding to unexpected operations
    10.
    发明授权
    Device control using processed sensor data corresponding to unexpected operations 有权

    公开(公告)号：US12204312B2

    公开(公告)日：2025-01-21

    申请号：US18366426

    申请日：2023-08-07

    Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.

    Inventor： Bijan SayyarRodsari ,  Jakob Methfessel ,  Kadir Liano ,  Hanyu Shi ,  Dongzuo Tian

    IPC: G05B19/4155

    Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, cause a processor to perform operations including receiving a first dataset from a first automation component, the first dataset corresponds to raw data acquired by a first sensor; receiving a second dataset from a second automation component, the second dataset corresponds to raw data acquired by a second sensor; receiving data indicating an expected operation related to operations of an industrial automation system including the first and second automation components; determining a signature based on the first and second datasets and the data indicating the expected operation, wherein the signature indicates an unexpected operation as compared to the expected operation; performing a root cause analysis using the signature to determine a relationship indicating a first set of changes of the first dataset corresponding to a second set of changes in the data indicating the expected operation.

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