DocumentCode
3571814
Title
Research on Method of Analog Circuit State Recognition Based on KPCA-SVDD
Author
Sen, Yang ; Chen, Meng
Author_Institution
Missile Eng. Dept., Ordnance Eng. Coll., Shijiazhuang, China
Volume
2
fYear
2012
Firstpage
498
Lastpage
500
Abstract
In order to improve analog circuit recognition, combined KPCA and SVDD, put forward one scheme of analog circuit state recognition based on KPCA-SVDD. Firstly distill characteristic of the outputs voltage signal by KPCA, taking the energy as the eigenvector of state recognition, Then adopt the SVDD categorize method to establish SVDD model of different state, carry on circuit state recognition, Finally with a certain electronic equipment filter circuit for example, verified the usefulness of the method.
Keywords
analogue circuits; eigenvalues and eigenfunctions; filtering theory; pattern recognition; principal component analysis; support vector machines; KPCA-SVDD; analog circuit state recognition; eigenvector; electronic equipment filter circuit; kernel principal component analysis; support vector data description; Analog circuits; Character recognition; Circuit faults; Fault diagnosis; Feature extraction; Kernel; Operational amplifiers; Analog circuit fault diagnosis; KPCA; SVDD;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Print_ISBN
978-1-4673-0689-8
Type
conf
DOI
10.1109/ICCSEE.2012.345
Filename
6188077
Link To Document