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Intelligent air-cushion tracked vehicle performance investigation: neural-networks

Hossain, Altab and Rahman, Mohammed Ataur and Mohiuddin, A. K. M. and Ramesh, Singh (2012) Intelligent air-cushion tracked vehicle performance investigation: neural-networks. International Journal of Heavy Vehicle Systems (IJHVS), 19 (4). pp. 407-426. ISSN 1744-232X

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Abstract

The Intelligent Air-Cushion Tracked Vehicle (IACTV) is given focus as an alternative to conventional off-road vehicles, which are driven by track and air-cushion systems. To make the IACTV as effi cient as possible, proper investigation of the vehicle’s performance is essential. The most relevant factors that affect the competitive effi ciency of the (ACTV) are the Tractive Effort (TE), Motion Resistance (MR) and Power Consumption (PC). Therefore, an Artifi cial Neural-Network (ANN) model is proposed to investigate the vehicle’s performance. Cushion Clearance Height (CH), and Air-Cushion Pressure (CP)are used at the input layers, while PC, TE and MR are used at the output layers. Experiments are carried out in the fi eld to investigate the vehicle’s performance, and the fi ndings are compared with the results obtained from ANN.

Item Type: Article (Journal)
Additional Information: 5264/16834
Uncontrolled Keywords: ANN; artiÞ cial neural network; CH; cushion clearance height; PC; power consumption; TE; tractive effort; MR; motion resistance
Subjects: T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL1 Motor vehicles
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Mechanical Engineering
Depositing User: Dr Ataur Rahman
Date Deposited: 17 Jul 2012 08:37
Last Modified: 19 Feb 2019 14:34
URI: http://irep.iium.edu.my/id/eprint/16834

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