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    SYSTEMS AND METHODS OF SERVICING EQUIPMENT
    24.
    发明申请
    SYSTEMS AND METHODS OF SERVICING EQUIPMENT 有权

    公开(公告)号：US20220134561A1

    公开(公告)日：2022-05-05

    申请号：US17083693

    申请日：2020-10-29

    Applicant: General Electric Company ,  Oliver Crispin Robotics Limited

    Inventor： Andrew Crispin Graham ,  David Scott Diwinsky

    IPC: B25J9/16 ,  B25J11/00 ,  G06Q10/00

    Abstract: A robotic assembly for servicing equipment, the robotic assembly including an area configured to receive components associated with a workscope of the equipment; an environmental capture device configured to capture information associated with an environment in which the robotic assembly is disposed; and one or more computing devices configured to: locate the equipment in the environment; autonomously navigate the robotic assembly through the environment to the equipment; and autonomously adjust a position of the robotic assembly in response to the workscope.

    SYSTEM AND METHOD FOR WORK PIECE INSPECTION
    27.
    发明申请
    SYSTEM AND METHOD FOR WORK PIECE INSPECTION 审中-公开

    公开(公告)号：US20200175669A1

    公开(公告)日：2020-06-04

    申请号：US16208668

    申请日：2018-12-04

    Applicant: General Electric Company

    Inventor： Xiao Bian ,  Arpit Jain ,  David Scott Diwinsky ,  Bernard Patrick Bewlay ,  Steeves Bouchard ,  Jean-Philippe Choiniere ,  Marc-Andre Marois ,  Stephane Harel ,  John Karigiannis

    IPC: G06T7/00

    Abstract: An inspection system includes one or more imaging devices and one or more processors. The imaging devices generate a first set of images of a work piece at a first position relative to the work piece and a second set of images of the work piece at a second position relative to the work piece. At least some of the images in the first and second sets are acquired using different light settings. The processors analyze the first set of images to generate a first prediction image associated with the first position, and analyze the second set of images to generate a second prediction image associated with the second position. The first and second prediction images include respective candidate regions. The processors merge the first and second prediction images to detect at least one predicted defect in the work piece depicted in at least one of the candidate regions.

    Neural network systems
    28.
    发明授权
    Neural network systems 有权

    公开(公告)号：US10592725B2

    公开(公告)日：2020-03-17

    申请号：US15493765

    申请日：2017-04-21

    Applicant: General Electric Company

    Inventor： Ser Nam Lim ,  David Scott Diwinsky ,  Xiao Bian

    IPC: G06K9/00 ,  G06N3/04 ,  G06N3/08 ,  G06K9/62

    Abstract: Systems and methods are provided relating to artificial neural networks are provided. The systems and methods obtain a teacher network that includes artificial neural layers configured to automatically identify one or more objects in an image examined by the artificial neural layers, receive a set of task images at the teacher network, examine the set of task images with the teacher network, identify a subset of the artificial neural layers that are utilized during examination of the set of task images with the teacher network, and define a student network based on the set of task images. The student network is configured to automatically identify one or more objects in an image examined by the subset.

    Neural network training image generation system
    29.
    发明授权
    Neural network training image generation system 有权

    公开(公告)号：US10262236B2

    公开(公告)日：2019-04-16

    申请号：US15584129

    申请日：2017-05-02

    Applicant: General Electric Company

    Inventor： Ser Nam Lim ,  Arpit Jain ,  David Scott Diwinsky ,  Sravanthi Bondugula

    IPC: G06K9/00 ,  G06K9/62 ,  G06K9/66 ,  G06T7/00

    Abstract: A system that generates training images for neural networks includes one or more processors configured to receive input representing one or more selected areas in an image mask. The one or more processors are configured to form a labeled masked image by combining the image mask with an unlabeled image of equipment. The one or more processors also are configured to train an artificial neural network using the labeled masked image to one or more of automatically identify equipment damage appearing in one or more actual images of equipment and/or generate one or more training images for training another artificial neural network to automatically identify the equipment damage appearing in the one or more actual images of equipment.

    System and method for locating a probe within a gas turbine engine
    30.
    发明授权
    System and method for locating a probe within a gas turbine engine 有权

    公开(公告)号：US10196922B2

    公开(公告)日：2019-02-05

    申请号：US14963695

    申请日：2015-12-09

    Applicant: General Electric Company

    Inventor： David Scott Diwinsky ,  Ser Nam Lim

    IPC: F01D17/02 ,  G01M15/14

    Abstract: A method for locating probes within a gas turbine engine may generally include positioning a plurality of location transmitters relative to the engine and inserting a probe through an access port of the engine, wherein the probe includes a probe tip and a location signal receiver configured to receive location-related signals transmitted from the location transmitters. The method may also include determining a current location of the probe tip within the engine based at least in part on the location-related signals and identifying a virtual location of the probe tip within a three-dimensional model of the engine corresponding to the current location of the probe tip within the engine. Moreover, the method may include providing for display the three-dimensional model of the engine, wherein the virtual location of the probe tip is displayed as a visual indicator within the three-dimensional model.

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