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Case-based reasoning system for prediction of fuel consumption by haulage trucks in open–pit mines

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dc.contributor.author Tadubana, Gomolemo
dc.contributor.author Sigweni, Boy
dc.contributor.author Suglo, Raymond
dc.date.accessioned 2021-06-16T09:22:00Z
dc.date.available 2021-06-16T09:22:00Z
dc.date.issued 2021-08
dc.identifier.citation Tadubana, G., Sigweni, B. and Suglo, R. (2021) Case-based reasoning system for prediction of fuel consumption by haulage trucks in open–pit mines. International Journal of Electrical and Computer Engineering (IJECE), 11(4), 3129-3136.http://doi.org/10.11591/ijece.v11i4.pp3129-3136. en_US
dc.identifier.issn 2722-2578
dc.identifier.issn 2088-8708
dc.identifier.uri http://repository.biust.ac.bw/handle/123456789/294
dc.description.abstract The shovel-truck system is commonly used in open-pit mining operations. Truck haulage cost constitutes about 26% of open-pit mining costs as the trucks are mostly powered by diesel whose cost is escalating annually. Therefore, reducing fuel consumption could lead to a significant decrease in overall mining costs. Various methods have been proposed to improve fuel efficiency in open-pit mines. Case-based reasoning (CBR) can be used to estimate fuel consumption by haulage trucks. In this work, CBR methods namely case-based reasoning using forward sequential selection (CBR-FSS), traditional CBR, and Naïve techniques were used to predict fuel consumption by trucks operating at Orapa Mine. The results show that the CBR method can be used to predict fuel consumption by trucks in open-pit mines; the predicted values of fuel consumption using the CBR-FSS technique gave much lower absolute residual values, higher standardised accuracy values, and effect sizes than those of other prediction techniques on all the datasets used. The system will enable mine planners to know the fuel consumed per trip and allow them to take mitigation measures on trucks with high fuel consumption. en_US
dc.language.iso en en_US
dc.publisher Institute of Advanced Engineering and Science (IAES). en_US
dc.subject Case-based reasoning en_US
dc.subject Fuel consumption en_US
dc.subject Haulage trucks en_US
dc.subject Open-pit mine en_US
dc.title Case-based reasoning system for prediction of fuel consumption by haulage trucks in open–pit mines en_US
dc.description.level phd en_US
dc.description.accessibility unrestricted en_US
dc.description.department mge en_US


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