System for inspecting deviation in dynamic characteristics of linear transmission device of feeding system

    公开(公告)号:US11921001B2

    公开(公告)日:2024-03-05

    申请号:US17654432

    申请日:2022-03-11

    CPC classification number: G01M13/00 G01M5/0066 G05B23/0256

    Abstract: A method and system for inspecting deviation in dynamic characteristics of a feeding system are provided, and the method includes: exciting the feeding system and detecting vibrations of a subcomponent of a component to be inspected of the feeding system to generate a monitoring excitation signal in a monitoring mode; calculating, by a modal analysis method, monitoring eigenvalues and monitoring eigenvectors of the monitoring excitation signal; determining, by a modal verification method, similarity between the monitoring eigenvalues and standard eigenvalues of a digital twin model and similarity between the monitoring eigenvectors and standard eigenvectors of the digital twin model; determining that the dynamic characteristics of the subcomponent are deviated, when the monitoring eigenvalues and monitoring eigenvectors are not similar to the standard eigenvalues and standard eigenvectors. Therefore, the subcomponent whose dynamic characteristics are deviated can be sensed remotely and precisely.

    Method and System for Building Digital Twin Models

    公开(公告)号:US20230244826A1

    公开(公告)日:2023-08-03

    申请号:US17649242

    申请日:2022-01-28

    CPC classification number: G06F30/12

    Abstract: A method and a system for building digital twin models allow the setting of a shape and dimensions of a simplified geometric solid corresponding to a component of a feeding system; after sampling the solid to obtain second position data, calculates a set of model eigenvalues and a set of model eigenvectors by a modal analysis method according to a material data of the component, the second position data and second size data of the solid; and defines the solid as a digital twin model of the component when it is determined by a modal verification method that a set of actual eigenvectors of the component is similar to the set of model eigenvectors. Data amounts of the second position and size data are far less than data amounts of first position and size data of an image of the component.

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