Cart (Loading....) | Create Account
Close category search window
 

Fuel cell fault forecasting system using grey and extension theories

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 $31
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

2 Author(s)
Wang, M.H. ; Dept. of Electr. Eng., Nat. Chin-Yi Univ. of Technol., Taichung, Taiwan ; Tsai, H.H.

This study proposes a fault forecasting system for proton exchange membrane fuel cells (PEMFCs), which uses a set of wireless sensors to accomplish fuel cell (FC) condition monitoring. The software interface of the FC fault forecast system uses LabVIEW software. Owing to the time delay condition of FC reactions, this study first forecasts all the operation features of the FC using a Grey prediction model. Then, an extension diagnosis method uses the forecasted values of the features to forecast the future operational conditions. Thus, the complex condition monitoring and fault forecasting problem of the FC can be implemented effectively. To demonstrate the effectiveness of the proposed method, comparative studies using a multilayer neural network and k-means algorithm are conducted on 400 sets of field-test patterns of 200 W PEMFC with rather encouraging results.

Published in:

Renewable Power Generation, IET  (Volume:6 ,  Issue: 6 )

Date of Publication:

November 2012

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 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.