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...
Main Authors: | Nantian Huang, Jiajin Qi, Fuqing Li, Dongfeng Yang, Guowei Cai, Guilin Huang, Jian Zheng, Zhenxin Li |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-09-01
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Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/17/9/2133 |
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