Power quality disturbance identification using wavelet packet energy entropy and weighted support vector machines

Expert Systems with Applications

Volumn 35, Issue 1-2, 2008, Pages 143-149

  Hu, Guo Sheng ^a,b   Zhu, Feng Feng ^b   Ren, Zhen ^a  

^a ANQING NORMAL UNIVERSITY   (China)

^b SOUTH CHINA UNIVERSITY OF TECHNOLOGY   (China)

Author keywords

Classification; Disturbances; Power quality; Wavelet packet energy entropy; Weighted support vector machines (WSVMs)

Indexed keywords

DECISION MAKING; ELECTRIC MEASURING INSTRUMENTS; ELECTRIC POWER SYSTEMS; ELECTRIC UTILITIES; ELECTRICITY; ELECTROACUPUNCTURE; ENERGY RESOURCES; GEARS; IMAGE RETRIEVAL; LEARNING SYSTEMS; MULTILAYER NEURAL NETWORKS; SIGNAL PROCESSING; SUPPORT VECTOR MACHINES; TECHNOLOGY; VECTORS;

COMMON FEATURES; DE NOISING; DIGITAL SIGNALS; DISTURBANCE SIGNALS; ELECTRIC POWER QUALITY; ELSEVIER (CO); ENERGY-ENTROPY; FEATURE SPACES; POWER ENGINEERING; POWER QUALITY (PQ); POWER QUALITY DISTURBANCES; POWER SYSTEMS; VOLTAGE SAGS; WAVELET PACKET (WP); WEIGHTED SUPPORT VECTOR MACHINES;

POWER QUALITY;

EID: 44949148333     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2007.06.005     Document Type: Article

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