Analog circuit fault diagnosis based on particle swarm optimization support vector machine - Details

Author：

Zuo, L. (Zuo, L..) | Hou, L.-G. (Hou, L.-G..) | Zhang, W. (Zhang, W..) | Wang, J.-H. (Wang, J.-H..) | Wu, W.-C. (Wu, W.-C..) (Scholars：吴武臣) Unfold

Indexed by：

Scopus PKU CSCD

Abstract：

In　order　to　solve　the　problem　of　fault　diagnosis　method　for　analog　IC　diagnosis　based　on　neural　network,　the　method　based　on　particle　swarm　optimization　(PSO)　and　least　squares　support　vector　machine　(LSSVM)　is　proposed.　Wavelet　package　is　used　as　a　tool　for　extracting　feature.　Then,　after　training　the　LSSVM　by　PSO,　the　model　of　the　circuit　with　fault　diagnosis　system　is　built.　Simulation　results　show　that　the　method　is　more　effective.

Keyword：

Analog circuit; Fault diagnosis; Least squares support vector machine; Particle swarm optimization

Author Community：

[ 1 ] [Zuo, L.]Very Large Scale Integration and System Lab, Beijing Univ. of Technology, Beijing 100022, China
[ 2 ] [Hou, L.-G.]Very Large Scale Integration and System Lab, Beijing Univ. of Technology, Beijing 100022, China
[ 3 ] [Zhang, W.]Very Large Scale Integration and System Lab, Beijing Univ. of Technology, Beijing 100022, China
[ 4 ] [Wang, J.-H.]Very Large Scale Integration and System Lab, Beijing Univ. of Technology, Beijing 100022, China
[ 5 ] [Wu, W.-C.]Very Large Scale Integration and System Lab, Beijing Univ. of Technology, Beijing 100022, China

Reprint Author's Address：

[Zuo, L.]Very Large Scale Integration and System Lab, Beijing Univ. of Technology, Beijing 100022, China

Email：

zuolei2000@sina.com

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Source ：

Systems Engineering and Electronics

ISSN： 1001-506X

Year： 2010

Issue： 7

Volume： 32

Page： 1553-1556

Cited Count：

WoS CC Cited Count： 0

SCOPUS Cited Count： 10

WanFang Cited Count：

Chinese Cited Count：

30 Days PV： 0

Affiliated Colleges：

信息学部

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