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In order to overcome the deficiencies of artificial neural networks (ANN), such as low convergence rate, local optimal solution, over-fitting and difficult determination of structure, a proposed QPSO-LS-SVMs method is applied to fault diagnosis of power transformer. It takes five characteristic gases dissolved in transformer oil as its inputs and seven transformer states as its outputs, constructs...
Dissolved gas analysis (DGA) is essential to the fault diagnosis of oil-immersed power transformer. After thoroughly analyzing the gas production mechanism of power transformer faults, it has been found that there are no explicit mapping functions between the single fault of power transformer and the content of gas. To handle this problem, a multi-class classification model for power transformer fault...
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