-
公开(公告)号:US20180321194A1
公开(公告)日:2018-11-08
申请号:US15585583
申请日:2017-05-03
Applicant: HIWIN TECHNOLOGIES CORP.
Inventor: Chih-Chun CHENG , Ping-Chun TSAI , Wen-Nan CHENG , Yu-Hsin KUO , Yin-Chun CHENG , Hsi-Hsun CHENG , Kuan-Te YU
CPC classification number: G01N29/4427 , G01N29/14 , G01N29/4472 , G01N2291/2623
Abstract: A method for estimating a variation in a preload applied to a linear guideway of a machine tool includes steps of: a) obtaining, via each of vibration sensors, first and second vibration signals that are generated according to detection of vibration of a table disposed on the linear guideway respectively at first and second time instants; b) determining, via the computation module, first and second natural frequencies based on a theoretical mode shape and respectively on the first and second vibration signals; and c) determining, via the computation module, the variation in the preload based on the first and second natural frequencies.
-
公开(公告)号:US20230288290A1
公开(公告)日:2023-09-14
申请号:US17654432
申请日:2022-03-11
Applicant: Hiwin Technologies Corp.
Inventor: Hsien-Yu CHEN , Yu-Sheng CHIU , Chih-Chun CHENG , Wen-Nan CHENG , Chi-Ming LIU
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.
-