Open Access Journal of Engineering Applications
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Decision Tree Classification for Fluidised-Bed Combustion: A Parametric Study

Xiaoli Saleh Corresponding 0000-0002-1565-9040
Ahsanullah University of Science and Technology
Imran Park 0000-0001-2262-9846
Islamic University of Technology
30 Sep 2015
pp. 781-799
https://doi.org/10.55555/oajea.2015.3902.037

Abstract

There is a pressing need for low-cost, locally appropriate solutions to fluidised-bed combustion in aerospace components. Experimental data collected from several aerospace components were analysed with the help of decision tree classification. The classification accuracy for fluidised-bed combustion reached 6% on the independent test dataset used for evaluation. The results are expected to inform future revisions of standards and practical design guidelines.
Keywords: fluidised-bed combustiondecision tree classificationpower qualitypattern recognition

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