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Nonlinear Analog Circuit Diagnosis Based on Volterra Series and Neural Network

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1 Author(s)
Yin Shirong ; Coll. of Electromech. & Automobile Eng., Chongqing Jiaotong Univ., Chongqing, China

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.

Published in:

Wireless Communications Networking and Mobile Computing (WiCOM), 2010 6th International Conference on

Date of Conference:

23-25 Sept. 2010