Towards the Text Compression Based Feature Extraction in High Impedance Fault Detection

High impedance faults of medium voltage overhead lines with covered conductors can be identified by the presence of partial discharges. Despite it is a subject of research for more than 60 years, online partial discharges detection is always a challenge, especially in environment with heavy backgrou...

Full description

Saved in:

Bibliographic Details
Published in:	Energies (Basel) Vol. 12; no. 11; p. 2148
Main Authors:	Vantuch, Tomáš, Prílepok, Michal, Fulneček, Jan, Hrbáč, Roman, Mišák, Stanislav
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 05.06.2019
Subjects:	Alzheimer's disease Artificial intelligence Classification covered conductor Experiments Fourier transforms high impedance fault detection International conferences Lempel-Ziv complexity Machine learning Noise overhead lines partial discharges text compression Time series Wavelet transforms United States > US
ISSN:	1996-1073, 1996-1073
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!