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Research on Optimal Preload Method of Controllable Rolling Bearing Based on Multisensor Fusion
《Computer Modeling in Engineering & Sciences》2024年第6期3329-3352,共24页Kuosheng Jiang Chengrui Han Yasheng Chang 
supported by:The Key Project of National Natural Science Foundation of China(U21A20125);The Open Project of State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines(SKLMRDPC21KF03);The National Key Research and Development Program of China(2020YFB1314203,2020YFB1314103);The Open Project of Key Laboratory of Conveyance and Equipment(KLCE2021-05);The Science and Technology Research Project of Jiangxi Provincial Department of Education(GJJ210639);The Supply and Demand Linking Employment Education Project of the Ministry of Education(20220100621);The Open Project of State Key Laboratory for Manufacturing Systems Engineering(sklms2023009);The Suzhou Basic Research Project(SJC2023003).
Angular contact ball bearings have been widely used in machine tool spindles,and the bearing preload plays an important role in the performance of the spindle.In order to solve the problems of the traditional optimal ...
关键词：MULTI-SENSOR information fusion neural network preload force 
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