Close category search window
 

The research on the fault diagnosis for boiler system based on fuzzy neural network

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

3 Author(s)
Yawei Zhao ; Shenyang Ligong Univ., Shenyang ; Liang Chen ; Qing Yang

The fuzzy logic was pulled in the neural network and the application of fault diagnosis for boiler system with the integrated fuzzy neural network is researched on the basic of the introductions of the basic principle of artificial neural network (ANN) and the principle of fault diagnosis for boiler system based on neural network. A example of training progress and testing results about the sample of boiler was given. And at last, it is proved that this integrated method can acquire a better result on fault diagnosis for boiler through error analysis compared with the traditional standard BP network.

Published in:
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Date of Conference: 25-27 June 2008

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.