Data Mining VIMS Data for Information on Truck Condition
Editor(s)
Xie, H. and Wang Y. and Jiang ,Y.
Abstract
The paper presents initial research related to use of data mining for analysis of condition of an off-highway mining truck. The raw data was collected using VIMS system of Caterpillar in a Botswana mine. The data mining tool was the IBM Intelligent Miner for data. The results indicate that data mining allows identification and quantification of relations between the various types of data. As such the data mining offers the potential for development of a predictive tool for prognosticating equipment condition and performance. Development of this capacity requires further research.
Recommended Citation
T. S. Golosinski et al., "Data Mining VIMS Data for Information on Truck Condition," Computer Applications in the Minerals Industries, Balkerma, Jan 2001.
Meeting Name
Proceedings of the 29th International Symposium on Computer Applications in the Mineral Industries
Department(s)
Mining Engineering
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2001 Balkerma, All rights reserved.
Publication Date
01 Jan 2001
