Patents by Inventor Daniel John Maggard

Daniel John Maggard 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: 11334062
    Abstract: A method of evaluating a part is characterized by obtaining data representing a distress rank model (DRM) and a cumulative damage model (CDM) for the part. Based on the data, the method ascertains a DRM value for the part and a CDM value for the part. The method determines whether the DRM value is at or above a predetermined DRM threshold and whether a CDM value is at or above a predetermined CDM threshold. If either the DRM value or the CDM value is at or above at least one respective threshold, an action related to the part is generated.
    Type: Grant
    Filed: August 6, 2018
    Date of Patent: May 17, 2022
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Andrew Scott Kessie, John Sherrill Carpenter, Paul Anthony Maletta, Tomas Eduardo Elias, Oscar Ernesto Escobar, Kyle Dean Blomgren, Daniel John Maggard, Brian Russell Clements
  • Publication number: 20220144454
    Abstract: A wash optimization system and related methods are provided that increase the efficiency and the effectiveness of engine washes. A system comprising at least one processor receives sensor data representing one or more measured parameters of a turbine engine and determines at least one performance parameter based on the sensor data. The at least one performance parameter represents one or more particulate values associated with the turbine engine. The system generates a health state for the turbine engine based on the at least one performance parameter and generates a wash identifier based on the health state of the turbine engine.
    Type: Application
    Filed: January 24, 2022
    Publication date: May 12, 2022
    Inventors: Lorenzo Escriche, Charles Larry Abernathy, Daniel John Maggard
  • Patent number: 11268449
    Abstract: A wash optimization system and related methods are provided that increase the efficiency and the effectiveness of engine washes. A system comprising at least one processor receives sensor data representing one or more measured parameters of a turbine engine and determines at least one performance parameter based on the sensor data. The at least one performance parameter represents one or more particulate values associated with the turbine engine. The system generates a health state for the turbine engine based on the at least one performance parameter and generates a wash identifier based on the health state of the turbine engine.
    Type: Grant
    Filed: July 25, 2018
    Date of Patent: March 8, 2022
    Assignee: General Electric Company
    Inventors: Lorenzo Escriche, Charles Larry Abernathy, Daniel John Maggard
  • Publication number: 20190093505
    Abstract: A wash optimization system and related methods are provided that increase the efficiency and the effectiveness of engine washes. A system comprising at least one processor receives sensor data representing one or more measured parameters of a turbine engine and determines at least one performance parameter based on the sensor data. The at least one performance parameter represents at least one of a condition or performance associated with the turbine engine. The system generates a health state for the turbine engine based on the at least one performance parameter and generates a wash identifier based on the health state of the turbine engine.
    Type: Application
    Filed: July 25, 2018
    Publication date: March 28, 2019
    Inventors: Lorenzo Escriche, Charles Larry Abernathy, Daniel John Maggard
  • Publication number: 20190093568
    Abstract: A wash optimization system and related methods are provided that increase the efficiency and the effectiveness of engine washes. A system comprising at least one processor receives sensor data representing one or more measured parameters of a turbine engine and determines at least one performance parameter based on the sensor data. The at least one performance parameter represents one or more particulate values associated with the turbine engine. The system generates a health state for the turbine engine based on the at least one performance parameter and generates a wash identifier based on the health state of the turbine engine.
    Type: Application
    Filed: July 25, 2018
    Publication date: March 28, 2019
    Inventors: Lorenzo Escriche, Charles Larry Abernathy, Daniel John Maggard
  • Publication number: 20180349532
    Abstract: A method of evaluating a part is characterized by obtaining data representing a distress rank model (DRM) and a cumulative damage model (CDM) for the part. Based on the data, the method ascertains a DRM value for the part and a CDM value for the part. The method determines whether the DRM value is at or above a predetermined DRM threshold and whether a CDM value is at or above a predetermined CDM threshold. If either the DRM value or the CDM value is at or above at least one respective threshold, an action related to the part is generated.
    Type: Application
    Filed: August 6, 2018
    Publication date: December 6, 2018
    Inventors: Andrew Scott Kessie, John Sherrill Carpenter, Paul Anthony Maletta, Tomas Eduardo Elias, Oscar Ernesto Escobar, Kyle Dean Blomgren, Daniel John Maggard, Brian Russell Clements
  • Patent number: 10042964
    Abstract: A method of evaluating a part is characterized by obtaining data representing a distress rank model (DRM) and a cumulative damage model (CDM) for the part. Based on the data, the method ascertains a DRM value for the part and a CDM value for the part. The method determines whether the DRM value is at or above a predetermined DRM threshold and whether a CDM value is at or above a predetermined CDM threshold. If either the DRM value or the CDM value is at or above at least one respective threshold, an action related to the part is generated.
    Type: Grant
    Filed: March 2, 2015
    Date of Patent: August 7, 2018
    Assignee: General Electric Company
    Inventors: Andrew Scott Kessie, John Sherrill Carpenter, Paul Anthony Maletta, Tomas Eduardo Elias, Oscar Ernesto Escobar, Kyle Dean Blomgren, Daniel John Maggard, Brian Russell Clements
  • Publication number: 20160259873
    Abstract: A method of evaluating a part is characterized by obtaining data representing a distress rank model (DRM) and a cumulative damage model (CDM) for the part. Based on the data, the method ascertains a DRM value for the part and a CDM value for the part. The method determines whether the DRM value is at or above a predetermined DRM threshold and whether a CDM value is at or above a predetermined CDM threshold. If either the DRM value or the CDM value is at or above at least one respective threshold, an action related to the part is generated.
    Type: Application
    Filed: March 2, 2015
    Publication date: September 8, 2016
    Inventors: Andrew Scott Kessie, John Sherrill Carpenter, Paul Anthony Maletta, Tomas Eduardo Elias, Oscar Ernesto Escobar, Kyle Dean Blomgren, Daniel John Maggard, Brian Russell Clements