Abstract
The knowledge-based organization for the West Virginia University Face Decision Support System is given, along with the initial development of the associated inference engine. The knowledge base contains generic knowledge about underground coal mines that utilize continuous miners. A typical knowledge entry is given, and the inference engine methodology is explained. The engine utilizes this knowledge with data from monitoring systems and from interaction with the section foreman, to assist in making section management decisions and plans.
Recommended Citation
S. Carrow et al., "Knowledge Organization and Inference Engine for the WVU Face Decision Support System," IEEE Transactions on Industry Applications, Institute of Electrical and Electronics Engineers (IEEE), Jan 1988.
The definitive version is available at https://doi.org/10.1109/28.8992
Meeting Name
39th IAS Annual Meeting of the IEEE Industry Applications Conference, 2004
Department(s)
Mining Engineering
Keywords and Phrases
USA; Coal; Decision Support System; Decision Support Systems; Development; Inference Engine; Knowledge Based Systems; Knowledge-Based Organization; Management; Mining; Underground Coal Mines
International Standard Serial Number (ISSN)
0093-9994
Document Type
Article - Journal
Document Version
Final Version
File Type
text
Language(s)
English
Rights
© 1988 Institute of Electrical and Electronics Engineers (IEEE), All rights reserved.
Publication Date
01 Jan 1988
