| 局部放电故障神经网络模式识别及实验研究 |
| |
| 引用本文： | 孙学勇,阳国庆,仲伟涛,郑殿春.局部放电故障神经网络模式识别及实验研究[J].自动化技术与应用,2005,24(3):22-24,27. |
| |
| 作者姓名： | 孙学勇 阳国庆 仲伟涛 郑殿春 |
| |
| 作者单位： | 哈尔滨理工大学,黑龙江,哈尔滨,150040;哈尔滨电业局,黑龙江,哈尔滨,150010 |
| |
| 基金项目： | 黑龙江省自然科学基金资助项目 (E0 30 3) |
| |
| 摘 要： | 阐述了局部放电信号模式识别对高压电器故障诊断的意义。用理想的同轴电极系统放电模型模拟了两种放电模式。将统计数学应用于局部放电信号特征量的提取 ,得到的特征向量 (放电量不对称性Q、相位不对称性Φ、相关系数cc)作为BP神经网络的输入 ,以此对局部放电信号进行模式识别。实验证明这种方法具有很高的识别率。
|
| 关 键 词： | 局部放电 模式识别 特征量 神经网络 |
| 文章编号： | 1003-7241(2005)03-0022-04 |
Simulation Study of the Neural Network Pattern Recognition of PD Failures |
| |
| SUN Xue-yong,YANG Guo-qing,ZHONG Wei-tao,ZHENG Dian-chun.Simulation Study of the Neural Network Pattern Recognition of PD Failures[J].Techniques of Automation and Applications,2005,24(3):22-24,27. |
| |
| Authors: | SUN Xue-yong YANG Guo-qing ZHONG Wei-tao ZHENG Dian-chun |
| |
| Affiliation: | SUN Xue_yong1,YANG Guo_qing1,ZHONG Wei_tao2,ZHENG Di an_chun1 |
| |
| Abstract: | In this paper the PD (partial discharges) fault recognition of the high voltage apparatus is studied. Two ideal discharge patterns are simulated with the coaxia l electrode. The statistic method is used to pick up the PD character. The disch arge asymmetry, phase asymmetry and the cross-correlation factor are chosen an d used as a set of the input vectors of neural network (NN). Experiment shows th e effectiveness of the methed. |
| |
| Keywords: | PD Pattern recognition Character NN |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
