Development of a multi-layer perceptron artificial neural network model to determine haul trucks energy consumption

Soofastaei; Ali; Aminossadati; Saiied; M.; Arefi; Mohammad; M.; Kizil; Mehmet; S.

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Development of a multi-layer perceptron artificial neural network model to determine haul trucks energy consumption

机译：确定载重卡车能耗的多层感知器人工神经网络模型的开发

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摘要

The mining industry annually consumes trillions of British thermal units of energy,a large part of which is saveable.Diesel fuel is a significant source of energy in surface mining operations and haul trucks are the major users of this energy source.Cross vehicle weight,truck velocity and total resistance have been recognised as the key parameters affecting the fuel consumption.In this paper,an artificial neural network model was developed to predict the fuel consumption of haul trucks in surface mines based on the gross vehicle weight,truck velocity and total resistance.The network was trained and tested using real data collected from a surface mining operation.The results indicate that the artificial neural network modelling can accurately predict haul truck fuel consumption based on the values of the haulage parameters considered in this study.

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《矿业科学技术学报：英文版》 |2016年第002期|P.285-293|共9页
作者
Soofastaei; Ali; Aminossadati; Saiied; M.; Arefi; Mohammad; M.; Kizil; Mehmet; S.;
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作者单位

[1]School of Mechanical and Mining Engineering. CRC Mining, The University of Queensland, QLD 4072, Australia;

[2]Department of Power and Control Engineering, School of Electrical and Computer Engineering, Shiraz University, Shiraz 71946-84471, lran;

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收录信息中国科学引文数据库(CSCD);
原文格式 PDF
正文语种 CHI
中图分类 U469.51;
关键词
人工神经网络模型; 能量消耗; 多层感知器; 牵引车; 开发; 汽车速度; 燃料消耗量; 测卡车;

机译：人工神经网络模型;能量消耗;多层感知器;牵引车;开发;汽车速度;燃料消耗量;测卡车;

Development of a multi-layer perceptron artificial neural network model to determine haul trucks energy consumption

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