IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/1881361.html
   My bibliography  Save this article

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

Author

Listed:
  • Zi-wen Zhu
  • Xiaojun Zhu
  • Yong-bo Pan
  • Jaroslaw Latalski

Abstract

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.

Suggested Citation

  • Zi-wen Zhu & Xiaojun Zhu & Yong-bo Pan & Jaroslaw Latalski, 2022. "Research and Application of Data-Driven Modeling Method for Gear System Based on Time-Varying Characteristics," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-10, September.
    • Handle: RePEc:hin:jnlmpe:1881361
    DOI: 10.1155/2022/1881361
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/1881361.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/mpe/2022/1881361.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/1881361?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:1881361. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.