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Details for article 5 of 8 found articles
| Title: |
Intelligent maintenance support system for mining truck conditioning monitoring and troubleshooting |
| Author: |
Ursenbach, A. Wang, Qun Rao, Ming Coward, Julian Lamb, David K. |
| Appeared in: |
International journal of mining, reclamation and environment |
| Paging: | Volume 8 (1994) nr. 2 pages 73-81 |
| Year: |
1994 |
| Contents: |
An intelligent maintenance support system (IMSS) for truck condition monitoring has been developed by Syncrude Canada Ltd. and the University of Alberta. The IMSS implements normal and abnormal condition monitoring and fault diagnosis as well as providing maintenance assistance. The IMSS uses the integrated distributed intelligent system architecture, which integrates two symbolic inference engines with an intelligent hypermedia system. The system can process data from the Vital Signs Monitor (VSMTM) developed by Marathon LeTourneau as well as information from the operators. This paper will present an integrated technology for truck condition monitoring, troubleshooting and maintenance, and will discuss the problem definition, and functions and configurations of the IMSS along with its implementation. |
| Publisher: |
Taylor & Francis |
| Source file: |
Elektronische Wetenschappelijke Tijdschriften |
Details for article 5 of 8 found articles
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