Fault diagnosis of analog circuit based on PSO-WNN - 文章详情页

作者：

Zuo, Lei (Zuo, Lei.) | Hou, Li-Gang (Hou, Li-Gang.) | Gao, Da-Ming (Gao, Da-Ming.) | Peng, Xiao-Hong (Peng, Xiao-Hong.) | Wu, Wu-Chen (Wu, Wu-Chen.) (学者：吴武臣)

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摘要：

In　order　to　address　the　problems　of　the　conventional　Wavelet　Neural　Network　(WNN)　in　analog　circuit　fault　diagnosis,　a　new　method　of　analog　circuit　fault　diagnosis,　based　on　Wavelet　Neural　Network　and　particle　swarm　optimization　(PSO-WNN),　is　proposed　in　this　paper.　A　practical　inspecting　of　a　filter　circuit　has　been　implemented,　using　both　the　new　and　the　conventional　method.　The　experimental　results　indicate　that　the　new　method　possess　higher　precision　than　WNN.

关键词：

Analog circuits Failure analysis Fault detection Particle swarm optimization (PSO) Timing circuits

作者机构：

[ 1 ] [Zuo, Lei]VLSI and System Lab., Beijing University of Technology, Beijing 100022, China
[ 2 ] [Hou, Li-Gang]VLSI and System Lab., Beijing University of Technology, Beijing 100022, China
[ 3 ] [Gao, Da-Ming]VLSI and System Lab., Beijing University of Technology, Beijing 100022, China
[ 4 ] [Peng, Xiao-Hong]VLSI and System Lab., Beijing University of Technology, Beijing 100022, China
[ 5 ] [Wu, Wu-Chen]VLSI and System Lab., Beijing University of Technology, Beijing 100022, China

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