A new hybrid pattern recognition scheme for automatic discrimination of power quality disturbances

Measurement: Journal of the International Measurement Confederation

Volumn 51, Issue 1, 2014, Pages 265-280

  Hajian, Mehdi ^a   Foroud, Asghar Akbari ^a  

^a SEMNAN UNIVERSITY   (Iran)

Author keywords

Discrete Wavelet Transform; Feature selection; Hyperbolic S Transform; Pattern recognition; Power Quality monitoring; Time frequency analysis

Indexed keywords

DISCRETE WAVELET TRANSFORMS; FEATURE EXTRACTION; PARTICLE SWARM OPTIMIZATION (PSO);

AUTOMATIC DETECTION; EFFICIENT FEATURE SELECTIONS; HYPERBOLIC S TRANSFORMS; ORTHOGONAL FORWARD SELECTIONS; POWER QUALITY DISTURBANCES; POWER QUALITY MONITORING; TIME FREQUENCY ANALYSIS; VARIABLE PARAMETERS;

PATTERN RECOGNITION;

EID: 84898951323     PISSN: 02632241     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.measurement.2014.02.017     Document Type: Article

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