| 基于小波算法的变压器涌流和内部故障电流识别 |
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| 引用本文： | 崔恒荣,郭从良. 基于小波算法的变压器涌流和内部故障电流识别[J]. 低压电器, 2007, 0(21): 49-52 |
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| 作者姓名： | 崔恒荣 郭从良 |
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| 作者单位： | 中国科学技术大学,电子科学与技术系,安徽,合肥,230027 |
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| 摘 要： | 小波变换可将信号同时从时域和频域两个方面加以分解,对分析变压器励磁涌流和内部故障电流非常有效.在PSCAD/EMTDC软件中通过对变压器励磁涌流和内部接地故障进行仿真,并对变压器两侧的电流差分信号进行了小波变换.结果表明,两类信号在细节部分有明显的不同特征,可作为判别的依据.
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| 关 键 词： | 变压器 涌流 小波变换 |
| 文章编号： | 1001-5531(2007)21-0049-04 |
| 修稿时间： | 2007-05-08 |
Identification of Transformer Inrush Current and Internal Fault Current Based on Wavelet Algorithm |
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| CUI Hengrong,GUO Congliang. Identification of Transformer Inrush Current and Internal Fault Current Based on Wavelet Algorithm[J]. Low Voltage Apparatus, 2007, 0(21): 49-52 |
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| Authors: | CUI Hengrong GUO Congliang |
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| Abstract: | The wavelet transform is a powerful tool in analyzing different currents of the power transformer inrush and the internal faults because of its ability to extract signal information simultaneously in both time and frequency domain.This paper does the wavelet transform of differential current signals in the power transformer which is simulated in PSCAD/EMTDC software.The results show that there are significant differences between the two signals which can be used for the classification. |
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| Keywords: | transformer inrush current wavelet transform |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
