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    METHOD AND APPARATUS FOR MACHINE LEARNING BASED INLET DEBRIS MONITORING
    2.
    发明公开
    METHOD AND APPARATUS FOR MACHINE LEARNING BASED INLET DEBRIS MONITORING 审中-公开

    公开(公告)号：US20230342424A1

    公开(公告)日：2023-10-26

    申请号：US17726675

    申请日：2022-04-22

    Applicant: RAYTHEON TECHNOLOGIES CORPORATION

    Inventor： Jeremiah C. Lee ,  Alek Gavrilovski ,  Parakrama Herath ,  Daniel McMenamin

    IPC: G06K9/62 ,  G06K9/00 ,  G06N3/02

    CPC classification number: G06K9/6247 ,  G06K9/6251 ,  G06K9/0051 ,  G06N3/02

    Abstract: An inlet debris monitoring includes processing circuitry configured to: obtain a data set of electrostatic charge data from an electrostatic sensor; utilize a dimensional reduction technique to obtain a first set of basis vectors that represent the data set in a reduced dimensional space that is reduced with respect to initial dimensions of the data set; utilize the first set of basis vectors or a second set of reference basis vectors which are based on historical electrostatic charge data for one or more reference gas turbine engines, to project the data set onto the reduced dimensional space and obtain a reduced dimensional representation of the data set; utilize machine learning to determine whether the reduced dimensional representation of the data set indicates foreign object debris in the particular gas turbine engine; and based on the determination indicating detection of foreign object debris, provide a foreign object debris notification.

    Detection of gas turbine engine blade abnormalities based on light reflections
    3.
    发明授权
    Detection of gas turbine engine blade abnormalities based on light reflections 有权

    公开(公告)号：US12163438B2

    公开(公告)日：2024-12-10

    申请号：US17886108

    申请日：2022-08-11

    Applicant: Raytheon Technologies Corporation

    Inventor： Jeremiah C. Lee ,  Daniel McMenamin ,  Janet Shaw

    IPC: F01D21/00

    Abstract: A method of inspecting blades of a gas turbine engine for abnormalities includes projecting light from a light source into an illumination area; utilizing a sensor to record data of at least one reflection of the projected light from a blade that is part of a gas turbine engine and is disposed in the illumination area; determining, based on the recorded data, whether the blade is abnormal; and based on the determining indicating that the blade is abnormal, providing a blade abnormality notification. A gas turbine engine is also disclosed.

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