Nonlinear Analog Circuit Diagnosis Based on Volterra Series and Neural Network

被引：0
|
作者：
Yin Shirong [1 ]
机构：
[1] Chongqing Jiaotong Univ, Coll Electromech & Automobile Engineer, Chongqing, Peoples R China
来源：
2010 6TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS NETWORKING AND MOBILE COMPUTING (WICOM) | 2010年
关键词：
nonlinear analog circuits; fault diagnosis; Volterra kernel; neural network; SYSTEMS;
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
The Volterra kernels are the inherent characteristic of the system. This paper researched how to measure Volterra frequency kernels and used the second Volterra frequency kernels as the fault signatures in diagnosis nonlinear analog circuit. The fault dictionary of nonlinear circuits was constructed based on improved Back-Propagation neural network. Experiment result demonstrates that the method of this paper has high diagnose sensitivity and fast fault identification and deducibility.
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页数：3
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