Early detection of mining truck failure by modelling its operation with neural networks classification algorithms
- Organization:
- The Southern African Institute of Mining and Metallurgy
- Pages:
- 8
- File Size:
- 557 KB
- Publication Date:
- Jan 1, 2003
Abstract
The paper reports on use of neural network algorithms to model performance and condition of mining trucks. The model inputs are selected digital data streams collected by truck Vital Information Management System, VIMS, during its operation in a mine. The models built as the result of this work allow for projection of truck condition and performance into future. As such they facilitate more efficient management of mine truck fleets. Keywords: Modelling, modeling, neural networks, mining equipment, Vital Information Management System, Intelligent Miner, mining truck
Citation
APA: (2003) Early detection of mining truck failure by modelling its operation with neural networks classification algorithms
MLA: Early detection of mining truck failure by modelling its operation with neural networks classification algorithms. The Southern African Institute of Mining and Metallurgy, 2003.