| 基于模糊神经网络的变压器励磁涌流鉴别的研究 |
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| 引用本文： | 陈琛,张举,成敬周. 基于模糊神经网络的变压器励磁涌流鉴别的研究[J]. 华北电力大学学报(自然科学版), 2005, 32(4): 5-9 |
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| 作者姓名： | 陈琛 张举 成敬周 |
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| 作者单位： | 华北电力大学,电气工程学院,河北,保定,071003;华北电力大学,电气工程学院,河北,保定,071003;华北电力大学,电气工程学院,河北,保定,071003 |
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| 摘 要： | 针对目前研究领域中基于神经网络的变压器励磁涌流鉴别方法存在着的误判现象,提出利用高木- 关野模糊神经网络来实现鉴别的新方案。经仿真实验表明:该方案能更准确地判别出变压器内部故障和励磁涌流,具有很高的可靠性。
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| 关 键 词： | 励磁涌流 内部故障 高木-关野模糊神经网络 |
| 文章编号： | 1007-2691(2005)04-0005-04 |
| 修稿时间： | 2004-08-20 |
Identification of inrush based on fuzzy neural network |
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| CHEN Chen,ZHANG Ju,CHENG Jing-zhou. Identification of inrush based on fuzzy neural network[J]. Journal of North China Electric Power University, 2005, 32(4): 5-9 |
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| Authors: | CHEN Chen ZHANG Ju CHENG Jing-zhou |
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| Abstract: | Aiming at the wrong identification of inrush for transformer based on the artificial neural network, a new method based on the Takaji-Sugeno fuzzy neural network is presented. Distributed network, secondary harmonic, wave symmetry extent and voltage of low voltage side are used as inputs of network. The simulation tests show that this new method can correctly identify the inrush current and internal fault of transformer. |
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| Keywords: | inrush current internal fault Takaji-Sugeno fuzzy neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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