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Please use this identifier to cite or link to this item: http://repository.fuoye.edu.ng/handle/123456789/2314

Title: Exploring Neural Network to Predict Car Tyre Inflation Time and Power Requirement of a Tyre Pressure Control Unit
Authors: Amosun, S.T.
Samuel, O.D.
Zubairu, P.T.
Bolaji, Bukola Olalekan
Keywords: Predictive
Issue Date: 2019
Publisher: Journal of Physics
Series/Report no.: IOP Conference Series;1378 (032080)
Abstract: This study used Artificial Neural Network (ANN) for the prediction of power required to inflate different tyre sizes and inflation times. ANN is a widely accepted machine learning method that uses past data to predict future trend. An existing database obtained experimentally from a tyre pressure control test rig was optimized using genetic algorithm(GA) which is an optimization tool that can find better subsets of input variables for importing into ANN. The ANN results were compared with the results obtained experimentally. The results show that the model can be implemented in modern day tyre pressure control designs and be used to predict inflation times and power required to inflate different tyre sizes.
URI: http://repository.fuoye.edu.ng/handle/123456789/2314
Appears in Collections:Mechanical Journal Publications

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