By Topic

An Expert System for Real-time Fault Diagnosis and Its Application in PTA Process

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
$33 $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)
Xiaoxia Zheng ; Automation Institute, East China University of Science and Technology, Shanghai, 200237. zhxiaoxia@126.com ; Zhenlei Wang ; Feng Qian

Increasing complexity and automation of the chemical process industries requires more reliable and efficient real-time fault diagnosis systems. Here, a real-time expert system based on wavelet transform and fuzzy ART neural network is introduced for fault diagnosis, providing fault prediction to help operators before abnormal situations occur. Data preprocessing, knowledge base structure, representation of knowledge, generalized inference engine and graphic user interface are technically considered. Industrial applications in pure terephthalic acid (PTA) process indicate that the real-time expert system diagnoses abnormal events efficiently and promptly and it has many specialties such as friendly interface, easy to train and maintain and also reliable under changing process conditions

Published in:

2006 6th World Congress on Intelligent Control and Automation  (Volume:2 )

Date of Conference:

0-0 0