An effective wavelet-based feature extraction method for classification of power quality disturbance signals

Electric Power Systems Research

Volumn 78, Issue 10, 2008, Pages 1747-1755

  Uyar, Murat ^a   Yildirim, Selcuk ^a   Gencoglu, Muhsin Tunay ^a  

^a FIRAT UNIVERSITY   (Turkey)

Author keywords

Disturbance classification; Feature extraction; Neural networks; Norm entropy; Power quality; Wavelet multiresolution analysis

Indexed keywords

ALGORITHMS; BOOLEAN FUNCTIONS; CLASSIFICATION (OF INFORMATION); CLASSIFIERS; COMPUTER NETWORKS; ELECTRIC MEASURING INSTRUMENTS; EVOLUTIONARY ALGORITHMS; EXTRACTION; LEARNING SYSTEMS; MATHEMATICAL MODELS; METROPOLITAN AREA NETWORKS; MULTITASKING; NETWORK PROTOCOLS; NEURAL NETWORKS; POWER QUALITY; SCHEDULING ALGORITHMS; SIGNAL TO NOISE RATIO; SOLVENT EXTRACTION;

CLASSIFICATION ALGORITHMS; CLASSIFICATION PERFORMANCE; DISTURBANCE CLASSIFICATION; DISTURBANCE SIGNALS; ELSEVIER (CO); EXTRACTION METHODS; FEATURE EXTRACTORS; MULTI LAYER PERCEPTRON (MLP); NOISE CONDITIONS; NORM ENTROPY; POWER QUALITY (PQ); POWER QUALITY DISTURBANCES; SIGNAL TO NOISE;

FEATURE EXTRACTION;

EID: 45449113326     PISSN: 03787796     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.epsr.2008.03.002     Document Type: Article

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