Discharges Classification using Genetic Algorithms and Feature Selection Algorithms on Time and Frequency Domain Data Extracted from Leakage Current Measurements

Discharges Classification using Genetic Algorithms and Feature Selection Algorithms on Time and Frequency Domain Data Extracted from Leakage Current Measurements

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A number of 387 discharge portraying waveforms recorded on 18 different 150 kV post insulators installed at two different Substations in Crete, Greece are considered in this paper. Twenty different features are extracted from each waveform and two feature selection algorithms (t-test and mRMR) are e...

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Bibliographic Details
Main Authors: D. Pylarinos, K. Theofilatos, K. Siderakis, E. Thalassinakis
Format: Article
Language:English
Published: D. G. Pylarinos 2013-12-01
Series:Engineering, Technology & Applied Science Research
Subjects:
insulators
leakage current
discharges
classification
frequency
genetic algorithms
Online Access:https://etasr.com/index.php/ETASR/article/view/418

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https://etasr.com/index.php/ETASR/article/view/418

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