Close category search window
 

Study on knowledge processing of fault diagnosis for Hydraulic AGC system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Haifang Wang ; Coll. of Mech. & Electron. Eng., Hebei Normal Univ. Sci. & Technol., Qinhuangdao, China ; Yu Rong ; Jinhua Cui ; Shengtao Liu

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.

Published in:
Information Management and Engineering (ICIME), 2010 The 2nd IEEE International Conference on

Date of Conference: 16-18 April 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.