• DocumentCode
    1754102
  • Title

    Press Mounting Force Monitoring of Rolling Bearing of the Freight Train Considering Cylinder Friction

  • Author

    Congpeng, Zhang ; Xueke, Luo ; Li, Wang ; Deying, Dong

  • Author_Institution
    North China Univ. of Technol., Beijing, China
  • Volume
    1
  • fYear
    2011
  • fDate
    28-29 March 2011
  • Firstpage
    680
  • Lastpage
    683
  • Abstract
    An automatic press mounting system of rolling bearing is introduced, which is used to execute the press mounting tasks of the rolling bearing in the bearing overhaul workshop of the railway system. As the datum gathered by the acquisition system has contained friction force of the press mounting hydro cylinder, the press mounting monitoring precision is reduced and the press mounting result judgment is affected. To eliminate the influence of the cylinder friction, friction modeling and compensation of the press mounting hydro cylinder were studied. The friction models of the cylinders were identified through experiments and parameters regression analysis. Based on the friction models, the press mounting force datum was corrected. The experiments results show that the monitoring datum considering the hydro cylinder friction is closer to the real press mounting force, and the misjudgment of the mounting result is obviously reduced.
  • Keywords
    computerised monitoring; data acquisition; friction; locomotives; mechanical engineering computing; mountings; regression analysis; rolling bearings; acquisition system; automatic press mounting system; computer control system; cylinder friction; freight train; friction force; friction modeling; hydrocylinder friction; press mounting force monitoring; press mounting hydrocylinder; press mounting tasks; railway system; regression analysis; rolling bearing; Force; Mathematical model; Pistons; Presses; Rolling bearings; Sensors; Friction modeling; friction compensation; press mounting force;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computation Technology and Automation (ICICTA), 2011 International Conference on
  • Conference_Location
    Shenzhen, Guangdong
  • Print_ISBN
    978-1-61284-289-9
  • Type

    conf

  • DOI
    10.1109/ICICTA.2011.177
  • Filename
    5750711