Performance improvement of power quality disturbance classification based on a new denoising technique

Proceeding of International Conference on Electrical Machines and Systems, ICEMS 2007

Volumn , Issue , 2007, Pages 1806-1810

  Hu, Wei Bing ^a   Li, Kai Cheng ^a   Zhao, Dang Jun ^b   Xie, Bing Ruo ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b WUHAN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

De noising technique; Discrete wavelet transform (DWT); Power quality transient signal; Probabilistic neural network

Indexed keywords

DISCRETE WAVELET TRANSFORMS; ELECTRIC MACHINERY; WAVELET DECOMPOSITION;

CLASSIFICATION PERFORMANCE; CLASSIFICATION RATES; DE-NOISING TECHNIQUES; DIFFERENT RESOLUTIONS; HIGH FREQUENCY SIGNALS; POWER QUALITY DISTURBANCES; POWER QUALITY TRANSIENT SIGNAL; PROBABILISTIC NEURAL NETWORKS;

POWER QUALITY;

EID: 50049121170     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICEMS12746.2007.4412100     Document Type: Conference Paper

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