• DocumentCode
    3397638
  • Title

    Dynamic weighing signal processing by system identification

  • Author

    Zhang, Yan ; Fu, Huake

  • Author_Institution
    Sch. of Comput. Sci. & Technol., China Univ. of Min. & Technol., Xuzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    30-31 May 2010
  • Firstpage
    203
  • Lastpage
    206
  • Abstract
    An effective way to solve the problem of overloaded vehicles is dynamic weighing. In this paper, the characteristic of dynamic weighing system signal was analyzed. Firstly, by taking wavelet transform, the shaft weight signals was disposed by frequency division to filter the high frequency noise; Secondly, using genetic algorithm to filter the dynamic load which mixed up with weighing signal; the last step, ARX algorithm was introduced in system identification and get weight of vehicles. The simulation found that accuracy is about 1%, has reached the advanced product precision standard.
  • Keywords
    Filters; Frequency conversion; Genetic algorithms; Shafts; Signal analysis; Signal processing; System identification; Vehicle dynamics; Vehicles; Wavelet transforms; dynamic weighing; genetic algorithm; system identification; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Mechatronics and Automation (ICIMA), 2010 2nd International Conference on
  • Conference_Location
    Wuhan, China
  • Print_ISBN
    978-1-4244-7653-4
  • Type

    conf

  • DOI
    10.1109/ICINDMA.2010.5538333
  • Filename
    5538333