The Transformer Fault Diagnosis Method Based on Improved Support Vector Machine

Abstract:

Aiming at the fault diagnosis problem, the transformers fault diagnosis method is proposed based on improved support vector machine. The optimum parameters setting are got by the particle swarm optimization. The experimental results demonstrate that the proposed method of this paper has the good classification performance, the high reliability, effective and feasible. Keywords: support vector machine, fault diagnosis, particle swarm, classification

• Periodical: Applied Mechanics and Materials (Volume 422)
• Pages: 83-88
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.422.83
• Online since: September 2013
• Authors: Chao Lin Huang
• Keywords: Classification, Fault Diagnosis, Particle Swarm, Support Vector Machine (SVM)

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