posted on 2017-12-06, 00:00authored byRussel Stonier, Sita Kuppa, Peter Thomas, Colin ColeColin Cole
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 [R] 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.
Funding
Category 1 - Australian Competitive Grants (this includes ARC, NHMRC)
History
Start Page
59
End Page
64
Number of Pages
6
Start Date
2005-01-01
ISBN-10
0791837521
Location
Colorado, USA
Publisher
American Society of Mechanical Engineers
Place of Publication
New York, N.Y.
Peer Reviewed
Yes
Open Access
No
External Author Affiliations
Centre for Railway Engineering; Faculty of Informatics and Communication; TBA Research Institute;