• DocumentCode
    3483376
  • Title

    Fuzzy modelling of wagon wheel unloading due to longitudinal impact forces

  • Author

    Stonier, Russel J. ; Kuppa, Sita ; Thomas, Peter J. ; Cole, Colin

  • Author_Institution
    Fac. of Inf. & Commun., Central Queensland Univ., Rockhampton, Qld., Australia
  • fYear
    2005
  • fDate
    16-18 March 2005
  • Firstpage
    59
  • Lastpage
    64
  • Abstract
    In this paper a fuzzy model is developed to predict wagon wheel unloading due to wagon body and bogie pitch modes induced by longitudinal impact forces. Data was obtained using the wagon dynamics simulation package, VAMPIRE®, with a wagon model typical of wagons in Australian freight service. Simulations were completed for 31 states of wagon body mass from empty to maximum load, 8 to 62 tonne and 31 states of longitudinal force were applied making 961 scenarios. Four 2-input 1-output fuzzy systems were developed to predict wheel unloading for each axle using wagon mass and the impact force magnitude as inputs. A cooperative co-evolutionary algorithm was used to determine a complete set fuzzy rules for this system together with defining fuzzy set definitions. The fuzzy model produced was then evaluated for its suitability as a predictive model.
  • Keywords
    axles; evolutionary computation; freight handling; fuzzy set theory; impact (mechanical); mechanical engineering computing; railways; vehicle dynamics; wheels; Australian freight service; VAMPIRE®; axles; bogie pitch modes; cooperative coevolutionary algorithm; fuzzy modelling; fuzzy systems; longitudinal impact forces; wagon dynamics simulation package; wagon wheel unloading; Australia; Axles; Fuzzy sets; Fuzzy systems; Informatics; Loading; Rails; Vehicle dynamics; Vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Rail Conference, 2005. Proceedings of the 2005 ASME/IEEE Joint
  • Print_ISBN
    0-7918-3752-1
  • Type

    conf

  • DOI
    10.1109/RRCON.2005.186055
  • Filename
    1460819