Automated classification of power quality disturbances using RBF and SVM neural networks

2005 IEEE Russia Power Tech, PowerTech

Volumn , Issue , 2005, Pages

  Janik, Przemysław ^b   Lobos, Tadeusz ^b   Schegner, Peter ^a,c  

^a IEEE

^b WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

^c DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

Author keywords

Classification; Neural networks; Power quality; Voltage sags

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTER NETWORKS; ELECTRIC MEASURING INSTRUMENTS; FEEDFORWARD NEURAL NETWORKS; LEARNING SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; SUPPORT VECTOR MACHINES; TURBULENT FLOW; WAVELET TRANSFORMS;

CLASSIFICATION; CLASSIFICATION RESULTS; POWER QUALITY; POWER QUALITY DISTURBANCES; VOLTAGE SAGS;

NEURAL NETWORKS;

EID: 51549111188     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/PTC.2005.4524822     Document Type: Conference Paper

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