pdf

TEP Fault Diagnosis Based on Rough Set-Neural Network

  • 2013-09-19
  • 165.12KB
  • Points it Requires : 2

In view of the inaccuracy and incompleteness of information systems, rough set reduction is implemented based on the improved discernibility matrix to delete irrelevant and unimportant data in sample data, and then the sample set is trained and tested using neural network knowledge. A fault diagnosis system that combines rough sets with neural networks is designed. It is applied to TEP (Tennessee-Eastmanprocess) fault diagnosis and achieves good fault diagnosis results.

unfold

You Might Like

Uploader
PKelect
 

Recommended ContentMore

Popular Components

Just Take a LookMore

EEWorld
subscription
account

EEWorld
service
account

Automotive
development
circle

About Us Customer Service Contact Information Datasheet Sitemap LatestNews


Room 1530, 15th Floor, Building B, No.18 Zhongguancun Street, Haidian District, Beijing, Postal Code: 100190 China Telephone: 008610 8235 0740

Copyright © 2005-2024 EEWORLD.com.cn, Inc. All rights reserved 京ICP证060456号 京ICP备10001474号-1 电信业务审批[2006]字第258号函 京公网安备 11010802033920号
×