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

A new on-line predictive monitoring using an integrated approach adaptive filter and PCA

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)
Salahshoor, K. ; Dept. of Autom. & Instrum., Pet. Univ. of Technol. (PUT), Ahvaz, Iran ; Komari Alaei, H. ; Komari Alaei, H.

A new on-line predictive monitoring methodology is introduced, based on a combined adaptive principal component analysis (PCA) and an adaptive predictor filter in an autoregressive (AR) formulation. An adaptive PCA-based monitoring scheme is developed utilizing the process historical data to recursively track the dynamic behavior of the industrial process plant based on statistical Hotelling and squared prediction error measures. An adaptive AR filter is proposed to predict the transformed samples in PCA subspaces determined by adaptive PCA algorithm. The difference between the actual transformed process measurements and the predicted measurements in the PCA subspaces is then utilized to discriminate among possible fault occurrences. Performances of the proposed algorithm have been evaluated on Tennessee Eastman (TE) benchmark process plant. The resulting outcomes demonstrate the promising capabilities of the proposed methodology.

Published in:

Soft Computing Applications (SOFA), 2010 4th International Workshop on

Date of Conference:

15-17 July 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 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.