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

Author

Meng, Li ; Cong, Wang ; Xinli, Bai

Author_Institution

China Univ. of Min. & Technol., Beijing

fYear

2007

Abstract

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.

Keywords

case-based reasoning; coal; condition monitoring; diagnostic expert systems; fans; fault diagnosis; mining industry; safety; case-based reasoning; coal mine production; expert system; fans; fault diagnosis; hybrid reasoning mechanism; mine safety; mining knowledge; roughness set; self improvement; self learning; Diagnostic expert systems; Displacement measurement; Fans; Fault diagnosis; Frequency measurement; Product safety; Production; Sensor systems; Velocity measurement; Vibration measurement; Expert System; Fan of Coal; Fault Diagnosis;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Xi´an

Print_ISBN

978-1-4244-1136-8

Electronic_ISBN

978-1-4244-1136-8

Type

conf

DOI

10.1109/ICEMI.2007.4350972

Filename

4350972