Research and Application of Data-Driven Modeling Method for Gear System Based on Time-Varying Characteristics

被引：0
|
作者：
Zhu, Zi-wen [1 ]
Zhu, Xiaojun [1 ]
Pan, Yong-bo [1 ]
机构：
[1] Zhengzhou Univ, Sch Mech & Power Engn, Zhengzhou 450001, Henan, Peoples R China
来源：
MATHEMATICAL PROBLEMS IN ENGINEERING | 2022年 / 2022卷
基金：
中国国家自然科学基金;
关键词：
DYNAMIC TRANSMISSION ERROR; MACHINING ERRORS; ASSEMBLY ERRORS; TOOTH; IDENTIFICATION; PARAMETER; PAIR;
D O I：
10.1155/2022/1881361
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The time-varying characteristics of the gear system have an essential influence on its vibration and stability characteristics. Aiming at this characteristic and taking the generalized force caused by load torque as input and dynamic transmission error as output, a data-driven modeling method for gear time-varying system is studied using the periodic time-varying system identification theory. The effectiveness of the proposed method is verified by the lumped mass model of the gear system. This method has high modeling accuracy and can accurately characterize the time-varying characteristics of the gear system. Then, the virtual experimental platform of gear system dynamics is established based on the finite element theory. The method successfully extends to the virtual experimental platform, laying a foundation for analyzing the gear system's dynamic characteristics.
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页数：10
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