Fault Diagnosis of Analog Circuits Based on CFNN

Mei Rong Liu; Yi Gang He; Xiang Xin Li

doi:10.4028/www.scientific.net/AEF.6-7.1045

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HomeAdvanced Engineering ForumAdvanced Engineering Forum Vols. 6-7Fault Diagnosis of Analog Circuits Based on CFNN

Fault Diagnosis of Analog Circuits Based on CFNN

Abstract:

An analog circuits fault diagnosis method based on chaotic fuzzy neural network (CFNN) is presented. The method uses the advantage of the global movement characteristic inherent in chaos to overcome the shortcomings that BPNN is usually trapped to a local optimum and it has a low speed of convergence weights. The chaotic mapping was added into BPNN algorithm, and the initial value of the network was selected. The algorithm can effectively and reliably be used in analog circuit fault diagnosis by comparing the two methods and analyzing the results of the example.

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Periodical:

Advanced Engineering Forum (Volumes 6-7)

Pages:

1045-1050

DOI:

https://doi.org/10.4028/www.scientific.net/AEF.6-7.1045

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Online since:

September 2012

Authors:

Mei Rong Liu, Yi Gang He, Xiang Xin Li

Keywords:

Analog Circuit, Chaos, Fuzzy, Neural Network (NN)

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Creative Commons CC BY 4.0

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