Patents by Inventor Soeren Georg

Soeren Georg 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).

  • Patent number: 10830208
    Abstract: A method for identifying a blade run-away condition in the event of a pitch system failure of a rotor blade of a wind turbine includes determining, via one or more sensors, an actual rotor loading of the wind turbine. The method also includes determining, via a turbine controller, an estimated rotor loading of the wind turbine based on at least one of one or more operating conditions of the wind turbine or one or more wind conditions of the wind turbine. Further, the method includes determining a difference between the actual rotor loading and the estimated rotor loading. The method also includes determining whether the blade run-away condition is present based on the difference. The method may also include implementing a corrective action that mitigates loads caused by the blade run-away condition.
    Type: Grant
    Filed: September 17, 2018
    Date of Patent: November 10, 2020
    Assignee: General Electric Company
    Inventors: Santiago Tomas, Raveendra Penmatsa, Soeren Georg, Ramy Michael Souri, Ryan Michael Sunyak, Darren John Danielsen, Robert Peter Slack
  • Patent number: 10781795
    Abstract: The present disclosure is directed to a method for detecting a mass imbalance in a rotor of a wind turbine. The method includes receiving, with a computing device, sensor data indicative of an operating characteristic of the wind turbine. The method also includes determining, with the computing device, a mean amplitude of a designated frequency component of the operating characteristic. Furthermore, the method includes determining, with the computing device, when a mass imbalance is present within the rotor based on the mean amplitude of the designated frequency component.
    Type: Grant
    Filed: November 13, 2017
    Date of Patent: September 22, 2020
    Assignee: General Electric Company
    Inventors: Oladodja Achraf Gbadamassi, Akshay Krishnamurty Ambekar, Soeren Georg
  • Publication number: 20190145381
    Abstract: The present disclosure is directed to a method for detecting a mass imbalance in a rotor of a wind turbine. The method includes receiving, with a computing device, sensor data indicative of an operating characteristic of the wind turbine. The method also includes determining, with the computing device, a mean amplitude of a designated frequency component of the operating characteristic. Furthermore, the method includes determining, with the computing device, when a mass imbalance is present within the rotor based on the mean amplitude of the designated frequency component.
    Type: Application
    Filed: November 13, 2017
    Publication date: May 16, 2019
    Inventors: Oladodja Achraf Gbadamassi, Akshay Krishnamurty Ambekar, Soeren Georg
  • Publication number: 20190113021
    Abstract: A method for identifying a blade run-away condition in the event of a pitch system failure of a rotor blade of a wind turbine includes determining, via one or more sensors, an actual rotor loading of the wind turbine. The method also includes determining, via a turbine controller, an estimated rotor loading of the wind turbine based on at least one of one or more operating conditions of the wind turbine or one or more wind conditions of the wind turbine. Further, the method includes determining a difference between the actual rotor loading and the estimated rotor loading. The method also includes determining whether the blade run-away condition is present based on the difference. The method may also include implementing a corrective action that mitigates loads caused by the blade run-away condition.
    Type: Application
    Filed: September 17, 2018
    Publication date: April 18, 2019
    Inventors: Santiago Tomas, Raveendra Penmatsa, Soeren Georg, Ramy Michael Souri, Ryan Michael Sunyak, Darren John Danielsen, Robert Peter Slack