Study on the fault diagnosis of partial-discharge for the eletric power transformer based on wavelet transform

被引：0

作者：

An, WD ^{[1
]}

Sun, CX ^{[1
]}

Ji, Y ^{[1
]}

Quan, Z ^{[1
]}

Heng, L ^{[1
]}

Lei, Z ^{[1
]}

Liu, RG ^{[1
]}

机构：

[1] Chongqing Univ, Key Lab High Voltage Engn & Elect New Technol, Minist Educ, Chongqing 400044, Peoples R China

来源：

WAVELET ANALYSIS AND ITS APPLICATIONS, AND ACTIVE MEDIA TECHNOLOGY, VOLS 1 AND 2 | 2004年

关键词：

PD; wavelet transform; interference; time-frequency characteristics;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The partial-discharge(PD) signal usually mix up all kinds of interference signals, it has some limitation to extract faint partial-discharge impulse signal from powerful interference signal with traditional analytic method. In this paper, starting with the wavelet transform feature, we have researched the wavelet transform actions in the fields of eliminating white noise in the partial-discharge signal and extracting characteristic parameters from partial-discharge signal. exactitude of this method has been verified by simulating experiment, the result evince that the wavelet transform has very good effect on the fields of eliminating noise and diagnosing partial-discharge failure, so it will be worth studying further.

引用

页码：389 / 397

页数：9