As the traditional support vector machines(SVM) is particularly sensitive to noise and outliers in the training samples,transformer fault diagnosis model is built based on fuzzy support vector machines(FSVM).It selects binary tree classification algorithm for multi-class classification.The membership value of the FSVM is obtained by fuzzy C-means clustering algorithm.The radial kernel is selected.Parameters of the FSVM model are optimized with genetic algorithm.A mass of fault samples are analyzed and resul...
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