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

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 k...

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Bibliographic Details
Published in2007 8th International Conference on Electronic Measurement and Instruments pp. 3-527 - 3-530
Main Authors Li Meng, Wang Cong, Bai Xinli
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.08.2007
Subjects
Diagnostic expert systems
Displacement measurement
Expert System
Fan of Coal
Fans
Fault diagnosis
Frequency measurement
Product safety
Production
Sensor systems
Velocity measurement
Vibration measurement
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Summary: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.
ISBN:1424411351
9781424411351
DOI:10.1109/ICEMI.2007.4350972