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.