| 基于RBF神经网络的变压器故障诊断及MATLAB仿真研究 |
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| 引用本文： | 吴宏岐,周妮娜,王春英.基于RBF神经网络的变压器故障诊断及MATLAB仿真研究[J].科学技术与工程,2010,10(5). |
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| 作者姓名： | 吴宏岐 周妮娜 王春英 |
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| 作者单位： | 宝鸡文理学院电子电气工程系,宝鸡,721007 |
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| 基金项目： | 陕西省宝鸡市自然科学基金项目(08KG02-2)资助 |
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| 摘 要： | 研究应用RBF神经网络进行变压器故障诊断,以提高变压器故障诊断率。分析了径向基函数神经网络的结构和工作原理,设计一个诊断变压器故障的三层径向基网络。通过采用MATLAB进行仿真实验,结果表明RBF神经网络是一很强的分类器,能够有效的对变压器故障进行诊断。
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| 关 键 词： | 变压器 RBF神经网络 故障诊断 |
| 收稿时间： | 2009/10/26 0:00:00 |
| 修稿时间： | 2009/10/29 0:00:00 |
Research for Transformer Fault Daignosis and MATLAB Simulation based on RBF Neural Networks |
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| WU Hong-Qi,ZHOU Ni-na,WANG Chun-ying.Research for Transformer Fault Daignosis and MATLAB Simulation based on RBF Neural Networks[J].Science Technology and Engineering,2010,10(5). |
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| Authors: | WU Hong-Qi ZHOU Ni-na WANG Chun-ying |
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| Institution: | Dept.Electronics & Elect.Eng./a>;Baoji Coll.Arts & Sci./a>;Baoji 721007/a>;P.R.China |
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| Abstract: | A diagnosis technology adopting radial-basis function neural networks is introduced to improve the diagnosis efficiency.The structure and fundamental of RBF neural network are analyzed,a three-layer RBF neural network is designed.It is proved by MATLAB experiment that RBF neural network is a strong classifier which is used to diagnose transformer fault effectively. |
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| Keywords: | transformer radial-basis function neural network fault diagnosis |
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