Identification of Wavefronts in Partial Discharge Acoustic Signals using Discrete Wavelet Transform

被引：0
|
作者：
Veloso, Giscard F. C. [1 ]
da Silva, L. E. Borges [1 ]
Noronha, I. [1 ]
Lambert-Torres, G. [1 ]
机构：
[1] Univ Fed Itajuba, GAIA, Artificial Intelligence Applicat Grp, Itajuba, MG, Brazil
来源：
2008 IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, VOLS 1-5 | 2008年
关键词：
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
This paper describes a method to discriminate the wavefront of the acoustic signal obtained from Partial Discharges. The technique used here takes advantage of the Wavelet Transform in order to extract, in a very precise way, the characteristics related to the desired wavefront. This information is used to locate the source of the Partial Discharge occurring in oil-insulated Power Transformers. The methodology to find the correct spot of the Partial Discharge uses Genetic Algorithm to solve a set of non-linear equations. Practical results are shown and the methodology is described in detail.
引用
收藏
页码：1992 / 1997
页数：6
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