• DocumentCode
    2666584
  • Title

    Perfect tracking control and fault diagnosis for RMG

  • Author

    Xia, Zhao ; Yabo, He

  • Author_Institution
    Dept. of Control Sci. & Eng., Tongji Univ., Shanghai, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    725
  • Lastpage
    729
  • Abstract
    RMG (Rail-mounted Gantry) plays a more and more important role in modern harbor. Gnawing rail problem limits its further quick development. For the first time, the article apply perfect tracking control (PTC)[1] put forward by Hiroshi Fujimoto et al. to the control of RMG to reduce gnawing rail problem. We also put forward an intelligent fault diagnosis system aimed for gnawing rail problem. Basing on the “different reasons have different phenomena” principle, the fault diagnosis system can locate the reasons by making use of multisensor information fusion and fault diagnosis logic deduction system. The combination of both methods can prevent and decrease gnawing phenomenon to a great extent. The system not only can minish gnawing rail phenomenon, diagnose causes of gnawing rail and give an corresponding alarm, but also has the capacity of preventing gnawing rail phenomenon beforehand. And the method has a wide application foreground to other rail-mounted vehicles too.
  • Keywords
    computerised monitoring; cranes; failure analysis; fault diagnosis; rails; sensor fusion; RMG control; RMG fault diagnosis; fault diagnosis logic deduction system; gnawing phenomenon; gnawing rail problem; intelligent fault diagnosis system; modern harbor; multisensor information fusion; perfect tracking control; rail-mounted gantry; Educational institutions; Fault diagnosis; Flanges; Rails; Switches; Wheels; Fault Diagnosis; Gnawing Rail; Perfect Tracking Control; RMG;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244110
  • Filename
    6244110