Wavelet Packet Analyzing of Power Transformer Partial Discharge Signals

Sheng-wei Gao, Mu Zhang, Chen-hu Yuan, Xing-tao Sun, Chuang Zhang
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引用次数: 5

Abstract

It is very important and effective that the online monitoring of partial discharge(PD) for the transformer to detecting defects. The sensitivity of online monitoring system has been influenced by strong external interference. With the development of computer and signal processing technology, many digital signal processing technologies, such as infinite impulse response filter, finite impulse response filter and wavelet analysis, have been used to extract the PD within the strong background noise. The wavelet packet analyzing about the PD online monitoring has been discussed in this article.By analyzing the simulation signals of PD. It has been proved that wavelet packet analyzing is convenient, effective, and can improve the sensitivity in PD online measurement system.
电力变压器局部放电信号的小波包分析
变压器局部放电在线监测对缺陷检测具有重要和有效的意义。在线监测系统的灵敏度受到较强外界干扰的影响。随着计算机和信号处理技术的发展,许多数字信号处理技术,如无限脉冲响应滤波、有限脉冲响应滤波和小波分析,已被用于提取强背景噪声中的PD。讨论了PD在线监测中的小波包分析方法。通过对PD仿真信号的分析。实践证明,小波包分析方法方便、有效,能提高局部放电在线测量系统的灵敏度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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