Modelling Failure Pattern of a Mining Truck with a Decision Tree Algorithm

Author

H. Hu
Tad S. Golosinski, Missouri University of Science and TechnologyFollow

Abstract

This paper reports on the development of failure pattern recognition model for a mining truck. the model inputs, VIMS data collected in a mine, were processed using one of the Decision Tree algorithms, a module of the Intelligent Miner for Data software of IBM. the results indicate that the Decision Tree allows for identification and quantification of relations between the various types of VIMS data. as such, it can be used for development of a model that would allow prognosticating truck condition and performance. Full development of this capacity requires further research.

Recommended Citation

H. Hu and T. S. Golosinski, "Modelling Failure Pattern of a Mining Truck with a Decision Tree Algorithm," Mineral Resources Engineering, World Scientific Publishing, Jan 2002.

The definitive version is available at https://doi.org/10.1142/S0950609802000975

Department(s)

Mining Engineering

International Standard Serial Number (ISSN)

0950-6098

Document Type

Article - Journal

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 2002 World Scientific Publishing, All rights reserved.

Publication Date

01 Jan 2002