• DocumentCode
    2933665
  • Title

    Study of the load on best value based on the minimum wear in sliding electric contact system

  • Author

    Lichuan, Hui ; Zhonghua, Chen ; Fengyi, Guo

  • Author_Institution
    Fac. of Electr. & Control Eng., Liaoning Tech. Univ., Huludao, China
  • fYear
    2011
  • fDate
    23-27 Oct. 2011
  • Firstpage
    625
  • Lastpage
    628
  • Abstract
    As in Catenary-Pantograph system, the amount of wear caused by the sliding contact is affected by the contact force. When the load is smaller, there will be erosion resistance wear; at the other hands, there will be mechanism wear when the load is bigger. So some experiments using carbon sliding panel infiltrated with copper have been taken to find the relationship between the load and wear. In these experiments, there were a lot of data at the condition of different values of current and velocity. And then the data will be trained using the Bp neural-network method, whose input is the load and output is the wear data. Also black-box model should be validated using the other data. Base on this, an optimize arithmetic will be designed on the black-box model to find the best value of the load, and that will make the wear minimal.
  • Keywords
    backpropagation; carbon; copper; electrical contacts; load (electric); neural nets; optimisation; overhead line mechanical characteristics; pantographs; power engineering computing; wear resistance; BP neural network method; black box model; carbon sliding panel; catenary-pantograph system; contact force; copper; erosion resistance wear; mechanism wear; optimal arithmetic; sliding electric contact system; Contacts; Data models; Friction; Load modeling; Mathematical model; Testing; Training; Best load; Wear; neural-network; optimize;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Power Equipment - Switching Technology (ICEPE-ST), 2011 1st International Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4577-1273-9
  • Type

    conf

  • DOI
    10.1109/ICEPE-ST.2011.6123162
  • Filename
    6123162