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Base on Hybrid Reasoning Mechanism Fans of Coal Fault Diagnosis Expert System

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3 Author(s)
Li Meng ; China Univ. of Min. & Technol., Beijing ; Wang Cong ; Bai Xinli

It is necessary to guarantee that timely diagnosis of fans of coal fault is for mine safety production in enterprises. To establish fans of coal fault diagnosis expert system is a kind of effective way for improving fans fault diagnosis. The roughness set is applied to fans fault expert system for knowledge; this way can improve the objectivity of mining knowledge, which to establish effectively fans fault diagnosis rules. The reasoning machine adopts the mixed reasoning mechanism which is based rules and examples, consequently achieved the function of expert system to self-learning and self-improvement. After fans of coal fault diagnosis expert system is put in to use, the operation and maintenance of fans is significantly improved.

Published in:

Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on

Date of Conference:

Aug. 16 2007-July 18 2007