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

• 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

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...