Open AccessVoltage sags and transient detection and classification using half/one-cycle windowing techniques based on continuous s-transform with neural network
Author(s) -
Kamarulazhar Daud,
Ahmad Farid Abidin,
Ahmad Puad Ismail
Publication year - 2017
Publication title -
aip conference proceedings
Language(s) - English
Resource type - Conference proceedings
SCImago Journal Rank - 0.177
H-Index - 75
eISSN - 1551-7616
pISSN - 0094-243X
DOI - 10.1063/1.4998388
Subject(s) - feature extraction , pattern recognition (psychology) , transient (computer programming) , artificial neural network , voltage sag , voltage , computer science , artificial intelligence , power quality , process (computing) , signal (programming language) , feature selection , engineering , programming language , operating system , electrical engineering
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