Detection and Classification of Transmission Line Faults Using Stockwell Transform and Rule Based Decision Tree

被引：0

作者：

Sharma, Gajanand ^{[1
]}

Mahela, Om Prakash ^{[2
]}

Kumar, Mahendra ^{[1
]}

Kumar, Neeraj ^{[1
]}

机构：

[1] RCERT, Jaipur, Rajasthan, India

[2] IIT Jodhpur, Jodhpur, Rajasthan, India

来源：

2018 INTERNATIONAL CONFERENCE ON SMART ELECTRIC DRIVES AND POWER SYSTEM (ICSEDPS) | 2018年

关键词：

Power system fault; Rule based decision tree; Stockwell transform; POWER;

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：

This paper presents an algorithm for detection and classification of different types of the power system faults occurring on the transmission line to provide the effective protection to the line against these faults. The proposed technique uses Stockwell transform based multi-resolution analysis of the current signals for detection of the faults and rule based decision tree for classification of faults in the power system network. Faults investigated in this research work include line to ground (LG) fault, double line (LL) fault, double line to ground (LLG) fault and three phase fault with the involvement of the ground (LLLG). Proposed study is performed in MATLAB/Simulink environment.

引用

页码：215 / 219

页数：5

共 8 条

[1]

Devi Suman, 2016, ADV SIGN PROC CASP C

[2] A survey on intelligent system application to fault diagnosis in electric power system transmission lines [J].