DocumentCode :
2547811
Title :
Study on knowledge processing of fault diagnosis for Hydraulic AGC system
Author :
Wang, Haifang ; Rong, Yu ; Cui, Jinhua ; Liu, Shengtao
Author_Institution :
Coll. of Mech. & Electron. Eng., Hebei Normal Univ. Sci. & Technol., Qinhuangdao, China
fYear :
2010
fDate :
16-18 April 2010
Firstpage :
1
Lastpage :
3
Abstract :
The method of knowledge processing and the basic question in an intelligent diagnosis system for Hydraulic AGC fault system are presented. The knowledge range of Hydraulic AGC system diagnosed is classified by the object-oriented approach. Finally, the approach to obtaining fault knowledge on Hydraulic AGC system is presented. It provides some foundation for establishment of intelligent fault diagnosis system.
Keywords :
control engineering computing; diagnostic expert systems; fault diagnosis; gauges; hydraulic systems; knowledge engineering; object-oriented methods; production engineering computing; rolling mills; automatic gauge control; expert system; fault knowledge; hydraulic AGC fault system; intelligent fault diagnosis system; knowledge processing; object-oriented approach; rolling mill; Diagnostic expert systems; Fault diagnosis; Force sensors; Intelligent systems; Knowledge engineering; Milling machines; Servomechanisms; Stress; Strips; Valves; AGC; expert system; fault diagnosis; object-oriented approach; rolling mill;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-5263-7
Electronic_ISBN :
978-1-4244-5265-1
Type :
conf
DOI :
10.1109/ICIME.2010.5477802
Filename :
5477802
Link To Document :
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