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
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;
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Print_ISBN :
978-1-4673-0689-8
DOI :
10.1109/ICCSEE.2012.345
