Patents by Inventor KAMEL ABDELKADER TAYEBI

KAMEL ABDELKADER TAYEBI 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).

  • Turbine system with particulate presence and accumulation model for particulate ingress detection
    Patent number: 11643942
    Abstract: A control system for turbine systems configured to utilize an intelligent model of particulate presence and accumulation within turbine systems to address engine maintenance, erosion, corrosion, and parts failure mitigation is disclosed. The control system may build an intelligent model of fluid flow based on the data value measured by at least one sensor and based on a database of known data values to provide an estimation of amount of ingress of air intake particles into the turbine system, fouling within the turbine system, erosion of at least a portion of the turbine system, and performance degradation rate of the turbine system.
    Type: Grant
    Filed: July 28, 2021
    Date of Patent: May 9, 2023
    Assignee: GENERAL ELECTRIC COMPANY
    Inventors: Kamel Abdelkader Tayebi, Murali Krishna Kalaga, Abdurrahman Abdallah Khalidi, Maruthi Manohar Jupudi, Sumith Unniyattil, Rebecca Evelyn Hefner
  • SYSTEMS AND METHODS FOR ESTIMATING INTEGRITY AND EFFICIENCY OF AN INLET FILTRATION SYSTEM FOR TURBINE SYSTEMS AND FOR RECOMMENDING MITIGATION ACTIONS
    Publication number: 20230033140
    Abstract: A control system for turbine systems configured to provide accurate interpretations of detected particle accumulation, improve performance of turbine systems, and/or minimize costs due to downtime and maintenance are disclosed. The control system may build an intelligent model of fluid flow based on measured data provided by a sensor in a fluid flow path of the turbine system. The intelligent model consults a filter efficiency framework and determines an impact value that quantifies an operational efficiency of the turbine system and may identify a location of possible leakage, estimate a total amount of ingress of particles, identify components of the turbine system that may be operating in a diminished capacity, estimate a risk of damage to components of the turbine system, and/or recommend mitigation actions.
    Type: Application
    Filed: July 28, 2021
    Publication date: February 2, 2023
    Applicant: GENERAL ELECTRIC COMPANY
    Inventors: MARUTHI MANOHAR JUPUDI, KAMEL ABDELKADER TAYEBI, ABDURRAHMAN ABDALLAH KHALIDI, JOSE ANTONIO CUEVAS ALVAREZ, ALSTON ILFORD SCIPIO, BRADLY AARON KIPPEL
  • SENSING SYSTEMS AND METHODS FOR BUILDING AN INTELLIGENT MODEL OF PARTICULATE INGRESS DETECTION IN TURBINE SYSTEMS
    Publication number: 20230029650
    Abstract: A control system for turbine systems configured to utilize an intelligent model of particulate presence and accumulation within turbine systems to address engine maintenance, erosion, corrosion, and parts failure mitigation is disclosed. The control system may build an intelligent model of fluid flow based on the data value measured by at least one sensor and based on a database of known data values to provide an estimation of amount of ingress of air intake particles into the turbine system, fouling within the turbine system, erosion of at least a portion of the turbine system, and performance degradation rate of the turbine system.
    Type: Application
    Filed: July 28, 2021
    Publication date: February 2, 2023
    Applicant: GENERAL ELECTRIC COMPANY
    Inventors: KAMEL ABDELKADER TAYEBI, MURALI KRISHNA KALAGA, ABDURRAHMAN ABDALLAH KHALIDI, MARUTHI MANOHAR JUPUDI, SUMITH UNNIYATTIL, REBECCA EVELYN HEFNER