By Topic

Research on Gluing Control System Based on Support Vector Data Description and Fuzzy Control

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)
Yizhuo Zhang ; Northeast Forestry Univ., Harbin, China ; Huiling Yu ; Jun Cao

This paper proposes a method combining support vector data description (SVDD) and fussy control to deal with the gluing procedure. First, Vibration signals are used as data of fault diagnosis, kernel principal component analysis (KPCA) is employed for feature extraction of the normal and fault examples, and SVDD algorithm as classifier is used for fault diagnosis. Second, fuzzy control rules are designed for the normal signals in order to keep the quantity of the glue with the variation of the fiber. Experiments show that SVDD algorithm is practical and efficient and the control process based on fuzzy control is stable and reliable.

Published in:

Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on

Date of Conference:

8-9 Oct. 2011