Virtual instrumentation and its application in diagnosis of faults in power transformers

被引：0

作者：

Vanaja, R ^{[1
]}

Udayakumar, K ^{[1
]}

Lokesh, K ^{[1
]}

机构：

[1] Anna Univ, Coll Engn, Chennai 600025, India

来源：

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

关键词：

transformer; virtual instrumentation; wavelet transform; fault diagnosis;

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：

This paper presents a new approach to detect, loacalize and investigate the feasibility of identifying winding insulation failures. The diagnosis is based on the time - frequency analysis of signal recorded during lightning impulse test. The virtual instrument is implemented with an acquisition board inserted into a PC and with a software developed with lab view tools which samples the voltage and current signal and furnishes the extent of insulation failure. The acquired signal is decomposed using multiresolution signal decomposition techniques to detect and localize the time instant of occurrence of fault.

引用

页码：A598 / A602

页数：5

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