Surface defect detection system
    1.
    发明授权

    公开(公告)号:US11494892B2

    公开(公告)日:2022-11-08

    申请号:US16999361

    申请日:2020-08-21

    Applicant: ABB Schweiz AG

    Inventor: Nevroz Sen

    Abstract: An inspection system is provided for detecting defects on surfaces. The system uses a pattern with varying color or darkness which faces the surface. A light illuminates the pattern on the surface so that the pattern and any defects on the surface are reflected and captured for image analysis. The processor then separates the pattern from the image in order to identify the locations of any defects on the surface.

    SURFACE DEFECT DETECTION SYSTEM
    3.
    发明申请

    公开(公告)号:US20220058793A1

    公开(公告)日:2022-02-24

    申请号:US16999361

    申请日:2020-08-21

    Applicant: ABB Schweiz AG

    Inventor: Nevroz Sen

    Abstract: An inspection system is provided for detecting defects on surfaces. The system uses a pattern with varying color or darkness which faces the surface. A light illuminates the pattern on the surface so that the pattern and any defects on the surface are reflected and captured for image analysis. The processor then separates the pattern from the image in order to identify the locations of any defects on the surface.

    Apparatus and method to monitor robot mechanical condition

    公开(公告)号:US10967514B2

    公开(公告)日:2021-04-06

    申请号:US16108992

    申请日:2018-08-22

    Applicant: ABB Schweiz AG

    Abstract: Mechanical condition monitoring of robots can be used to detect unexpected failure of robots. Data taken from a robot operation is processed and compared against a health baseline. Features extracted during the monitoring stage of robot operation are aligned with features extracted during the training stage in which the health baseline is established by projecting both onto a common subspace. A classifier which can include a distance assessment such as an L2-norm is used within the common subspace to assess the condition of the robot. Excursions of the distance assessment from a criteria indicate a failure or potential failure.

    APPARATUS AND METHOD TO MONITOR ROBOT MECHANICAL CONDITION

    公开(公告)号:US20200061833A1

    公开(公告)日:2020-02-27

    申请号:US16108992

    申请日:2018-08-22

    Applicant: ABB Schweiz AG

    Abstract: Mechanical condition monitoring of robots can be used to detect unexpected failure of robots. Data taken from a robot operation is processed and compared against a health baseline. Features extracted during the monitoring stage of robot operation are aligned with features extracted during the training stage in which the health baseline is established by projecting both onto a common subspace. A classifier which can include a distance assessment such as an L2-norm is used within the common subspace to assess the condition of the robot. Excursions of the distance assessment from a criteria indicate a failure or potential failure.

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