Wavelet Based Transmission Line Fault Analysis : A Literature Survey

被引：0

作者：

Sundaravaradan, N. A. ^{[1
]}

Rajaraman, P. ^{[1
]}

Suzith, D. ^{[1
]}

Kumar, M. Dilip ^{[1
]}

Abilash, G. ^{[1
]}

Reddy, M. Jaya Bharata ^{[1
]}

Mohanta, Dusmanta Kumar ^{[2
]}

机构：

[1] Natl Inst Technol, Dept EEE, Tiruchirappalli, Tamil Nadu, India

[2] Birla Inst Technol, Dept EEE, Ranchi, Bihar, India

来源：

2014 14TH INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING (EEEIC) | 2014年

关键词：

Fault analysis; Wavelet transforms; Artificial Neural Networks; Fuzzy logic; Fault classification; Fault location; MULTIRESOLUTION ANALYSIS; CLASSIFICATION; TRANSFORM; LOCATION; PROTECTION;

D O I：

暂无

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

Transmission lines faults are an inevitable part of any power system. They cause a disruption in the power supply, which is undesirable. With an ever-increasing demand for better performance and minimal interruptions, accurate fault analysis is necessary to restore a system to its normal operation by detecting and clearing the transmission line fault. This paper presents a comprehensive review of the techniques employed in fault analysis which have evolved over the last decade. This review paper mainly focuses on the implementation of discrete wavelet transform (WT), multi-resolution analysis (MRA) artificial neural networks (ANN) and fuzzy logic for fault analysis.

引用

页码：254 / 259

页数：6

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