基于BP神经网络的变压器故障诊断及其应用 |
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作者单位: | 咸宁温泉供电公司 湖北咸宁437100(胡导福),武汉大学电气工程学院 湖北武汉430072(文闪闪,何益鸣) |
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摘 要: | 针对电力变压器故障的特点以及传统故障诊断方法在变压器诊断应用中的局限性,研究一种基于BP神经网络算法的变压器故障诊断方法.通过选择足够的故障样本训练神经网络,达到变压器故障诊断的要求,并通过实例证明本算法的有效性.
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关 键 词: | 故障诊断 气体分析 BP神经网络 |
Transformer fault diagnosis based on BP neural network and its application |
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Authors: | HU Dao-fu WEN Shan-shan HE Yi-ming |
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Affiliation: | HU Dao-fu1,WEN Shan-shan2,HE Yi-ming2 |
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Abstract: | Aiming at the characteristic of transformer fault and the limitation of traditional fault 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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Keywords: | fault diagnosis gas analysis BP neural network |
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