Aiming at the characteristic of transformer fauh and the limitation of traditional fauh diagnosis methods of transformer, the paper developed a BP neural network based algorithm to diagnosis fault of transformer. The neural networks are trained with historical fault exemplar. Application on field data proves the validity of the proposed approach.
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胡导福,文闪闪,何益鸣.基于BP神经网络的变压器故障诊断及其应用[J].电力科学与技术学报,2008,23(2):72-75. HU Dao-fu, WEN Shan-shan, HE Yi-ming. Transformer fault diagnosis based on BP neural network and its application[J]. Journal of Electric Power Science and Technology,2008,23(2):72-75.