pdf

Improved Data Mining Method for Industrial Boiler Fault Diagnosis

  • 2013-09-18
  • 160.15KB
  • Points it Requires : 2

Aiming at the common faults of industrial boilers, a boiler fault diagnosis technology based on data mining method is proposed. By establishing an intelligent data mining tool, fault diagnosis knowledge is directly obtained from a large amount of real-time data for fault diagnosis. The core of the data mining tool is to use information entropy technology to assist the generation of the initial population of the genetic algorithm. The effective integration of genetic algorithm and information entropy greatly improves the working performance of the data mining method. This method is applied to a complex fault case of a thermal power plant boiler. The results show that its diagnostic accuracy can meet the requirements of field application.

unfold

You Might Like

Uploader
rubyonrails
 

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
×