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
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;
Conference_Titel :
Rail Conference, 2005. Proceedings of the 2005 ASME/IEEE Joint
Print_ISBN :
0-7918-3752-1
DOI :
10.1109/RRCON.2005.186055