Time frequency analysis of transient signals

被引：0

作者：

Jayashankar, V ^{[1
]}

VanajaRanjan, R ^{[1
]}

Babu, KL ^{[1
]}

Kumar, KNP ^{[1
]}

Kumar, PP ^{[1
]}

机构：

[1] Natl Inst Ocean Technol, Madras, Tamil Nadu, India

来源：

IEEE 2000 TENCON PROCEEDINGS, VOLS I-III: INTELLIGENT SYSTEMS AND TECHNOLOGIES FOR THE NEW MILLENNIUM | 2000年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Voltage and current signals during lightning impulse tests on transformer are treated as non-stationary signals. A new method incorporating signal-processing method such as wavelets and Fourier transform is proposed for failure identification. It is now possible to distinguish failure during Lightning tests as well as chopped lightning impute tests. The method is experimentally validated on a transformer winding. The Wavelet transforms enables the detection of the time of occurrence of switching or failure events. After establishing the time of occurrence, the original waveform is split into two or more sections. A Fourier transform of the individual section is performed. The frequency content of the waveform is analyzed in the various sections.

引用

页码：261 / 264

页数：4

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