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投稿时间：2009-04-27
投稿时间：2009-04-27
中文摘要: 在变压器故障诊断中,针对样本中可能存在的孤立样本以及样本分布的不均匀性,导致神经网络整体性能下降,训练和测试效率降低的情况,设计了利用模糊聚类法对样本进行预先处理,然后再应用神经网络进行训练和测试的诊断系统.从仿真结果可以看出,该诊断系统较样本未处理而直接应用于神经网络诊断系统的诊断性能有大幅度的提高.
Abstract:In fault diagnosis system of power transformer,when there are some isolation samples in the sample set or when the distribution of sample is not symmetrical,it may cause damage to the performance of the diagnosis system and lower the efficiency of training and testing.In this paper,fuzzy clustering method is introduced to overcome these problems by preprocessing the sample set before it is used to train the diagnosis system.The results of simulation prove that the proposed method is effective in solving the problems and enhancing the performance of fault diagnosis system.
文章编号：20100219 中图分类号： 文献标志码：
基金项目:
| 作者 | 单位 |
| 钱虹 | 上海电力学院 电力与自动化工程学院, 上海 200090 |
| 李超 | 上海电力学院 电力与自动化工程学院, 上海 200090 |
| 叶建华 | 上海电力学院 电力与自动化工程学院, 上海 200090 |
引用文本：
钱虹,李超,叶建华.基于模糊聚类法的神经网络变压器故障诊断系统[J].上海电力大学学报,2010,26(2):182-185,189.
QIAN Hong,LI Chao,YE Jian-hua.The Fault Diagnosis System of Power Transformer Based on Fuzzy Clustering and Artificial Neural Networks[J].Journal of Shanghai University of Electric Power,2010,26(2):182-185,189.
钱虹,李超,叶建华.基于模糊聚类法的神经网络变压器故障诊断系统[J].上海电力大学学报,2010,26(2):182-185,189.
QIAN Hong,LI Chao,YE Jian-hua.The Fault Diagnosis System of Power Transformer Based on Fuzzy Clustering and Artificial Neural Networks[J].Journal of Shanghai University of Electric Power,2010,26(2):182-185,189.