Condition assessment of current transformer based on multi-classification support vector machine

The gas production of dissolved gases in transformer oil is used as evaluation index. Support vector machine classifier which is based on 1 to n algorithm is applied to current transformer condition assessment. This method overcomes the disadvantage that the traditional binary tree, which doesn´t consider the distributing situation of the data sets, constructs directly the SVM classifier. At the same time, the two-divided method presented by the paper is applied in the choice of the optimal parameters of SVM. The experiment is performed and this method acquires a better performance.