• DocumentCode
    2002252
  • Title

    Study on Dynamic Weighing System base on intelligent algorithm

  • Author

    Li, Jianfeng ; Zhou, Lifang ; Wang, Qingqing

  • Author_Institution
    Zhejiang Univ., Hangzhou
  • fYear
    2007
  • fDate
    May 30 2007-June 1 2007
  • Firstpage
    765
  • Lastpage
    768
  • Abstract
    Technology of dynamic weighing is an effective way to solve the problem of overloaded vehicles. The entire process of dynamic weighing is presented in this paper. The model of dynamic weighing system is discussed by the discrete wavelet transform to filter noise and the genetic algorithm to filter the dynamic load which can not be filtered through common method. To solve the amplitude change of dynamic load, multi-segments curve fit based on genetic algorithm is proposed. The simulation to actual data of dynamic weighing verifies the validity.
  • Keywords
    automated highways; discrete wavelet transforms; genetic algorithms; discrete wavelet transform; dynamic weighing system; genetic algorithm; intelligent algorithm; overloaded vehicle; Discrete wavelet transforms; Equations; Filters; Genetic algorithms; Industrial control; Intelligent systems; Low-frequency noise; Road transportation; Road vehicles; Vehicle dynamics; component; dynamic weighing; genetic algorithm; overloaded; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Automation, 2007. ICCA 2007. IEEE International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4244-0818-4
  • Electronic_ISBN
    978-1-4244-0818-4
  • Type

    conf

  • DOI
    10.1109/ICCA.2007.4376459
  • Filename
    4376459