System and method for assessing the health of an asset

    公开(公告)号:US11640659B2

    公开(公告)日:2023-05-02

    申请号:US17149377

    申请日:2021-01-14

    IPC分类号: G06K9/00 G06T7/00

    摘要: There are provided methods and systems for assessing the health of an asset. For example, a system is provided. The system may include a processor and a memory including instructions that, when executed by the processor, cause the processor to perform operations consistent with identifying a defect in a component of an asset. The operations may include fetching from an inspection system, a plurality of images acquired from an inspection of the component of the asset by the inspection system. The operations may include identifying, based on an image processing technique codified and included as part of the instructions, a subset of images from the plurality of images. The subset of images is representative of the defect in the component of the asset, and the image processing technique is selected from the group consisting of an auto-distress ranking technique, a structural similarity technique, a mean-subtracted filtering technique, and a Hessian norm computation technique.

    SYSTEM AND METHOD FOR ASSESSING THE HEALTH OF AN ASSET

    公开(公告)号:US20210217155A1

    公开(公告)日:2021-07-15

    申请号:US17149377

    申请日:2021-01-14

    IPC分类号: G06T7/00

    摘要: There are provided methods and systems for assessing the health of an asset. For example, a system is provided. The system may include a processor and a memory including instructions that, when executed by the processor, cause the processor to perform operations consistent with identifying a defect in a component of an asset. The operations may include fetching from an inspection system, a plurality of images acquired from an inspection of the component of the asset by the inspection system. The operations may include identifying, based on an image processing technique codified and included as part of the instructions, a subset of images from the plurality of images. The subset of images is representative of the defect in the component of the asset, and the image processing technique is selected from the group consisting of an auto-distress ranking technique, a structural similarity technique, a mean-subtracted filtering technique, and a Hessian norm computation technique.