Power quality events classification and recognition using a novel support vector algorithm

Energy Conversion and Management

Volumn 50, Issue 12, 2009, Pages 3071-3077

  Moravej, Z ^a   Banihashemi, S A ^a   Velayati, M H ^a  

^a SEMNAN UNIVERSITY   (Iran)

Author keywords

Classification; Correlation feature selection (CFS); Disturbance; Mutual information feature selection (MIFS); Power quality; Support vector machines

Indexed keywords

CLASSIFICATION; CORRELATION FEATURE SELECTION (CFS); CORRELATION FEATURES; DISTURBANCE; EXCELLENT PERFORMANCE; FEATURE SELECTION; KERNEL PARAMETER; MUTUAL INFORMATION FEATURE SELECTION (MIFS); MUTUAL INFORMATION FEATURE SELECTIONS; PARAMETRIC EQUATION; POWER QUALITY EVENT; SPEED-UPS; SUPPORT VECTOR ALGORITHMS; SVM CLASSIFICATION; TEST RESULTS; TRAINING AND TESTING; TRAINING SPEED; TWO STAGE;

CLASSIFIERS; ELECTRIC MEASURING INSTRUMENTS; HARMONIC ANALYSIS; IMAGE RETRIEVAL; SUPPORT VECTOR MACHINES; VECTORS;

FEATURE EXTRACTION;

EID: 70349438992     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2009.08.007     Document Type: Article

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