IDEAS home Printed from https://ideas.repec.org/a/igg/jisscm/v11y2018i1p49-64.html
   My bibliography  Save this article

Research on Inspection Method of Dynamic Load of Truck by Using EWT

Author

Listed:
  • Guiqing Zhao

    (Department of Mechanical and Electrical Engineering, Liaocheng University Dongchang College, Shadong Province, China)

Abstract

The article provides a new method for dynamic real-time detection of vehicle loads, and a useful technical reference for further improving the driving safety of the vehicle. The dynamic monitoring of vehicle load is of great significance to stable driving. In order to resolve this problem, we present an algorithm that can calculate vehicle load on the basic of empirical mode transform (EWT) and a corresponding vehicle load dynamic testing platform. The relationship between the vehicle load and the suspension variables is the foundation of realizing load detection. To obtain it, we establish a two-degree-of freedom suspension dynamic model and analyze the dynamic characteristics of the suspension under various vehicle speeds and loads. We design a dynamic load detection device with overload protection to collect the dynamic signal of vehicle. The data processing algorithm of the vehicle load dynamic detection device is constructed based on EWT. In order to verify the effectiveness of the device, a model truck is taken as the test vehicle. Based on the DSP chip, the vehicle load dynamic testing platform is developed. In order to test the accuracy of the system, the calculation accuracy of the system is tested with different load at different speeds. The experimental results show that the system exhibits a high accuracy in the measurement experiment.

Suggested Citation

  • Guiqing Zhao, 2018. "Research on Inspection Method of Dynamic Load of Truck by Using EWT," International Journal of Information Systems and Supply Chain Management (IJISSCM), IGI Global, vol. 11(1), pages 49-64, January.
  • Handle: RePEc:igg:jisscm:v:11:y:2018:i:1:p:49-64
    as

    Download full text from publisher

    File URL: http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJISSCM.2018010105
    Download Restriction: no
    ---><---

    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:igg:jisscm:v:11:y:2018:i:1:p:49-64. 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: Journal Editor (email available below). General contact details of provider: https://www.igi-global.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.