Short-Circuit Fault Detection and Classification Using Empirical Wavelet Transform and Local Energy for Electric Transmission Line

Short-Circuit Fault Detection and Classification Using Empirical Wavelet Transform and Local Energy for Electric Transmission Line

In order to improve the classification accuracy of recognizing short-circuit faults in electric transmission lines, a novel detection and diagnosis method based on empirical wavelet transform (EWT) and local energy (LE) is proposed. First, EWT is used to deal with the original short-circuit fault si...

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Bibliographic Details
Main Authors: Nantian Huang, Jiajin Qi, Fuqing Li, Dongfeng Yang, Guowei Cai, Guilin Huang, Jian Zheng, Zhenxin Li
Format: Article
Language:English
Published: MDPI AG 2017-09-01
Series:Sensors
Subjects:
short-circuit fault
empirical wavelet transform
local energy
support vector machine
Online Access:https://www.mdpi.com/1424-8220/17/9/2133

Internet

https://www.mdpi.com/1424-8220/17/9/2133

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