Patents by Inventor Apurva Prakash Samudra

Apurva Prakash Samudra has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Predictive monitoring and diagnostics systems and methods
    Patent number: 11604442
    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.
    Type: Grant
    Filed: June 25, 2021
    Date of Patent: March 14, 2023
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Bijan Sayyarrodsari, Kadir Liano, Apurva Prakash Samudra, Alexander Barton Smith
  • Predictive monitoring and diagnostics systems and methods
    Patent number: 11079726
    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.
    Type: Grant
    Filed: October 28, 2019
    Date of Patent: August 3, 2021
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Bijan Sayyarrodsari, Kadir Liano, Apurva Prakash Samudra, Alexander Barton Smith
  • PREDICTIVE MONITORING AND DIAGNOSTICS SYSTEMS AND METHODS
    Publication number: 20200064789
    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.
    Type: Application
    Filed: October 28, 2019
    Publication date: February 27, 2020
    Inventors: Bijan Sayyarrodsari, Kadir Liano, Apurva Prakash Samudra, Alexander Barton Smith
  • Predictive monitoring and diagnostics systems and methods
    Patent number: 10488832
    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.
    Type: Grant
    Filed: September 6, 2018
    Date of Patent: November 26, 2019
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Bijan Sayyarrodsari, Kadir Liano, Alexander Barton Smith, Apurva Prakash Samudra
  • PREDICTIVE MONITORING AND DIAGNOSTICS SYSTEMS AND METHODS
    Publication number: 20190004485
    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.
    Type: Application
    Filed: September 6, 2018
    Publication date: January 3, 2019
    Inventors: Bijan Sayyarrodsari, Kadir Liano, Alexander Barton Smith, Apurva Prakash Samudra
  • Predictive monitoring and diagnostics systems and methods
    Patent number: 10073421
    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.
    Type: Grant
    Filed: November 17, 2015
    Date of Patent: September 11, 2018
    Assignee: Rockwell Automation Technologies, Inc.
    Inventors: Bijan Sayyarrodsari, Kadir Liano, Alexander Barton Smith, Apurva Prakash Samudra
  • PREDICTIVE MONITORING AND DIAGNOSTICS SYSTEMS AND METHODS
    Publication number: 20170139382
    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.
    Type: Application
    Filed: November 17, 2015
    Publication date: May 18, 2017
    Inventors: Bijan Sayyarrodsari, Kadir Liano, Alexander Barton Smith, Apurva Prakash Samudra