A skeleton rule-based expert system of new generation

• Autorzy: Brzozowski W.
• Języki publikacji: EN

Abstrakty

EN

The paper presents skeleton rule-based expert system of a new generation, named EXPERT 3.0, worked out and programmed by the Author. Notion of a new generation refers here to implementation of a knowledge base of the system in a form of a computer database; previous skeleton expert systems implemented knowledge bases as text files. At first, a theory of expert systems, as one of the branches of Artificial Intelligence, is briefly presented. Then the Author’s original algorithms of the system are described in the paper. Using the EXPERT 3.0 system, execution of the inference processes: forward, backwards or mixed, as well as of falsification of the main hypothesis, is possible. The EXPERT 3.0 system may be loaded with any number of parallel knowledge bases from such domains as technical, medical or financial diagnostics, as well as providing equipment, forecast and many other systems; in the paper, the inference process is illustrated by an example of the diagnostics of the damage to a MKM33 coal mill, working in a 200 MW power unit. Finally, conclusions and recommendations are formulated in the paper.

Słowa kluczowe

EN

expert system; artificial intelligence; computer program; algorithm; inference process; fact; rule; technical diagnostics

• Wydawca: Łukasiewicz Industrial Research Institute for Automation and Measurements PIAP
• Czasopismo: Journal of Automation Mobile Robotics and Intelligent Systems
• Rocznik: 2013
• Tom: Vol. 7, No. 3
• Strony: 10--21
• Opis fizyczny: Bibliogr. 10 poz., rys.

Twórcy

autor

Brzozowski W.

• Częstochowa University of Technology, Institute of Electric Power Engineering in Częstochowa (Poland)
• The Gen. Jerzy Ziętek Silesian (Higher) School of Management in Katowice (Poland)

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