Fault Diagnosis of Tolerance Analog Circuit Based on Wavelet Neural Network with PSO Algorithm

Wei Cong; Bo Jing; Hong Kun Yu

doi:10.4028/www.scientific.net/AMM.307.312

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 307Fault Diagnosis of Tolerance Analog Circuit Based...

Fault Diagnosis of Tolerance Analog Circuit Based on Wavelet Neural Network with PSO Algorithm

Abstract:

For the Difficulties in fault diagnosis of tolerance analog circuit, a Wavelet Neural Network (WNN) diagnosis method based on Particle Swarm Optimization (PSO) algorithm is proposed. To overcome the deficiencies of the traditional BP algorithm using in WNN, PSO algorithm is introduced into the parameters optimization in WNN, and the velocity disturbance operator is embedded to ensure the particle out of the premature position for PSO algorithm performance. The simulation results show that the proposed method has the fast training rate, accurate diagnosis, without local convergence.

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Periodical:

Applied Mechanics and Materials (Volume 307)

Pages:

312-315

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.307.312

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Online since:

February 2013

Authors:

Wei Cong, Bo Jing, Hong Kun Yu

Keywords:

Fault Diagnosis, Particle Swarm Optimization (PSO), Velocity Disturbance Operator, Wavelet Neural Network (WNN)

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