Patents by Inventor Joel Igba

Joel Igba 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).

  • Publication number: 20240353830
    Abstract: An example method comprises receiving historical wind turbine failure data and asset data from SCADA systems, receiving first historical sensor data, determining healthy assets of the renewable energy assets by comparing signals to known healthy operating signals, training at least one machine learning model to indicate assets that may potentially fail and to a second set of assets that are operating within a healthy threshold, receiving first current sensor data of a second time period, applying a machine learning model to the current sensor data to generate a first failure prediction a failure and generate a list of assets that are operating within a healthy threshold, comparing the first failure prediction to a trigger criteria, generating and transmitting a first alert if comparing the first failure prediction to the trigger criteria indicates a failure prediction, and updating a list of assets to perform surveillance if within a healthy threshold.
    Type: Application
    Filed: March 21, 2024
    Publication date: October 24, 2024
    Applicant: Utopus Insights, Ins.
    Inventors: Chandramouli Visweswariah, Lars Toghill, Joel Igba, Neil Desai, Younghun Kim, Yajuan Wang
  • Patent number: 11977375
    Abstract: An example method comprises receiving historical wind turbine failure data and asset data from SCADA systems, receiving first historical sensor data, determining healthy assets of the renewable energy assets by comparing signals to known healthy operating signals, training at least one machine learning model to indicate assets that may potentially fail and to a second set of assets that are operating within a healthy threshold, receiving first current sensor data of a second time period, applying a machine learning model to the current sensor data to generate a first failure prediction a failure and generate a list of assets that are operating within a healthy threshold, comparing the first failure prediction to a trigger criteria, generating and transmitting a first alert if comparing the first failure prediction to the trigger criteria indicates a failure prediction, and updating a list of assets to perform surveillance if within a healthy threshold.
    Type: Grant
    Filed: November 16, 2022
    Date of Patent: May 7, 2024
    Assignee: Utopus Insights, Inc.
    Inventors: Chandramouli Visweswariah, Lars Toghill, Joel Igba, Neil Desai, Younghun Kim, Yajuan Wang
  • Publication number: 20230152795
    Abstract: An example method comprises receiving historical wind turbine failure data and asset data from SCADA systems, receiving first historical sensor data, determining healthy assets of the renewable energy assets by comparing signals to known healthy operating signals, training at least one machine learning model to indicate assets that may potentially fail and to a second set of assets that are operating within a healthy threshold, receiving first current sensor data of a second time period, applying a machine learning model to the current sensor data to generate a first failure prediction a failure and generate a list of assets that are operating within a healthy threshold, comparing the first failure prediction to a trigger criteria, generating and transmitting a first alert if comparing the first failure prediction to the trigger criteria indicates a failure prediction, and updating a list of assets to perform surveillance if within a healthy threshold.
    Type: Application
    Filed: November 16, 2022
    Publication date: May 18, 2023
    Applicant: Utopus Insights, Inc.
    Inventors: Chandramouli Visweswariah, Lars Toghill, Joel Igba, Neil Desai, Younghun Kim, Yajuan Wang
  • Patent number: 11509136
    Abstract: An example method comprises receiving historical wind turbine failure data and asset data from SCADA systems, receiving first historical sensor data, determining healthy assets of the renewable energy assets by comparing signals to known healthy operating signals, training at least one machine learning model to indicate assets that may potentially fail and to a second set of assets that are operating within a healthy threshold, receiving first current sensor data of a second time period, applying a machine learning model to the current sensor data to generate a first failure prediction a failure and generate a list of assets that are operating within a healthy threshold, comparing the first failure prediction to a trigger criteria, generating and transmitting a first alert if comparing the first failure prediction to the trigger criteria indicates a failure prediction, and updating a list of assets to perform surveillance if within a healthy threshold.
    Type: Grant
    Filed: December 23, 2020
    Date of Patent: November 22, 2022
    Assignee: Utopus Insights, Inc.
    Inventors: Chandramouli Visweswariah, Lars Toghill, Joel Igba, Neil Desai, Younghun Kim, Yajuan Wang
  • Publication number: 20210203157
    Abstract: An example method comprises receiving historical wind turbine failure data and asset data from SCADA systems, receiving first historical sensor data, determining healthy assets of the renewable energy assets by comparing signals to known healthy operating signals, training at least one machine learning model to indicate assets that may potentially fail and to a second set of assets that are operating within a healthy threshold, receiving first current sensor data of a second time period, applying a machine learning model to the current sensor data to generate a first failure prediction a failure and generate a list of assets that are operating within a healthy threshold, comparing the first failure prediction to a trigger criteria, generating and transmitting a first alert if comparing the first failure prediction to the trigger criteria indicates a failure prediction, and updating a list of assets to perform surveillance if within a healthy threshold.
    Type: Application
    Filed: December 23, 2020
    Publication date: July 1, 2021
    Inventors: Chandu Visweswariah, Lars Toghill, Joel Igba, Neil Desai, Younghun Kim, Yajuan Wang