zip

Diesel Engine State Recognition Method Based on KPCA-SVM

  • 2013-09-22
  • 653.53KB
  • Points it Requires : 2

  In order to effectively identify the running state of the diesel engine, according to the characteristic information and identification characteristics of the diesel engine, a fault diagnosis method for diesel engine state identification based on kernel principal component analysis (KPCA) and support vector machine (SVM) is studied. First, the diesel engine is feature extracted to form a feature vector. Then, the kernel principal component analysis is performed on it to calculate the feature vector that can reflect the equipment state and effectively remove the redundancy of information. Finally, the obtained feature vector is trained and learned by the support vector machine to identify the state of the diesel engine. The feasibility and practicality of this method are verified through the identification analysis of the laboratory diesel engine combustion system under different operating states.

unfold

You Might Like

Uploader
nkyqsl
 

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
×