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