Wavelet Transforms for Fault Detection using SVM in Power Systems

被引：0

作者：

Sevakula, Rahul K. ^{[1
]}

Verma, Nishchal K. ^{[1
]}

机构：

[1] Indian Inst Technol, Dept Elect Engn, Kanpur 208016, Uttar Pradesh, India

来源：

IEEE INTERNATIONAL CONFERENCE ON POWER ELECTRONICS, DRIVES AND ENERGY SYSTEMS (PEDES 2012) | 2012年

关键词：

Power Systems; Smart Grid; Health Monitoring; Fault Detection; Wavelet Transforms; SVM;

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：

In this paper we study how Wavelet Transforms and Support Vector Machine have been used successfully for fault detection in Power Systems. We then present a case study on machine fault diagnosis, where we are getting classification accuracies up to 99%. In similar lines, we propose ideas for better fault detection in Power Systems.

引用

页数：6

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