Fault Diagnosis Analysis of Power Transformer Based on PSO-BP Algorithm

Abstract:

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BP neural network is currently the most widely used of neural network models in practical application in transformer fault diagnosis. BP algorithm is a local search algorithm which is easy to make the network into the local minimum values. Network training results are poor. It discusses PSO-BP algorithm which combines the particle swarm optimization (PSO) algorithm with the BP algorithm in this paper. It uses PSO algorithm to optimize the BP network’s weights and threshold. It is used in power transformer fault diagnosis. Experimental data results show that PSO-BP network fault diagnosis accuracy is higher than BP algorithm.

Info:

Periodical:

Advanced Materials Research (Volumes 466-467)

Edited by:

Wu Jinhui, Zhao Maotai and Wu Bo

Pages:

789-793

DOI:

10.4028/www.scientific.net/AMR.466-467.789

Citation:

H. Q. Sun et al., "Fault Diagnosis Analysis of Power Transformer Based on PSO-BP Algorithm", Advanced Materials Research, Vols. 466-467, pp. 789-793, 2012

Online since:

February 2012

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Price:

$35.00

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