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.
引用
下载
收藏
页数：10
相关论文
共 50 条
  • [1] Calculation Method and Application of Time-Varying Transmission Rate via Data-Driven Approach
    Sun, Yuqing
    Zhang, Zhonghua
    Sun, Yulin
    MATHEMATICS, 2023, 11 (13)
  • [2] A data-driven method for time-varying wavelet extraction based on the local frequency spectrum
    Yumeng Jiang
    Siyuan Cao
    Siyuan Chen
    Duo Zheng
    Studia Geophysica et Geodaetica, 2021, 65 : 70 - 85
  • [3] A data-driven method for time-varying wavelet extraction based on the local frequency spectrum
    Jiang, Yumeng
    Cao, Siyuan
    Chen, Siyuan
    Zheng, Duo
    STUDIA GEOPHYSICA ET GEODAETICA, 2021, 65 (01) : 70 - 85
  • [4] Data-Driven Control of Linear Time-Varying Systems
    Nortmann, Benita
    Mylvaganam, Thulasi
    2020 59TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2020, : 3939 - 3944
  • [5] Data-Driven Modeling of Wireless Power Transfer Systems With Slowly Time-Varying Parameters
    Chen, Fengwei
    Padilla, Arturo
    Young, Peter C.
    Garnier, Hugues
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 2020, 35 (11) : 12442 - 12456
  • [6] Data-Driven Time-Varying Inertia Estimation of Inverter-Based Resources
    Tan, Bendong
    Zhao, Junbo
    IEEE TRANSACTIONS ON POWER SYSTEMS, 2023, 38 (02) : 1795 - 1798
  • [7] Data-driven Prediction of EVAR with Confidence in Time-varying Datasets
    Axelrod, Allan
    Carlone, Luca
    Chowdhary, Girish
    Karaman, Sertac
    2016 IEEE 55TH CONFERENCE ON DECISION AND CONTROL (CDC), 2016, : 5833 - 5838
  • [8] Direct Data-Driven Control of Linear Time-Varying Systems
    Nortmann, Benita
    Mylvaganam, Thulasi
    IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2023, 68 (08) : 4888 - 4895
  • [9] An approach for data-driven time-varying flood resilience quantification of housing infrastructure system
    Laskar, Jahir Iqbal
    Sen, Mrinal Kanti
    Dutta, Subhrajit
    Gandomi, Amir H.
    Tewari, Sujit
    SUSTAINABLE AND RESILIENT INFRASTRUCTURE, 2023, : 124 - 144
  • [10] An approach for data-driven time-varying flood resilience quantification of housing infrastructure system
    Laskar, Jahir Iqbal
    Sen, Mrinal Kanti
    Dutta, Subhrajit
    Gandomi, Amir H.
    Tewari, Sujit
    SUSTAINABLE AND RESILIENT INFRASTRUCTURE, 2023,
12345