Study of a new method for power system transients classification based on wavelet entropy and neural network

International Journal of Electrical Power and Energy Systems

Volumn 33, Issue 3, 2011, Pages 402-410

  Zhengyou, He ^a   Shibin, Gao ^a   Xiaoqin, Chen ^a   Jun, Zhang ^a   Zhiqian, Bo ^b   Qingquan, Qian ^a  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

^b AREVA NP   (France)

Author keywords

Artificial neural network; Entropy weight; Power system transient; Wavelet analysis; WEE; WEW

Indexed keywords

ARTIFICIAL NEURAL NETWORK; ENTROPY WEIGHT; POWER SYSTEM TRANSIENTS; WEE; WEW;

BACKPROPAGATION; COMPUTER SIMULATION; EIGENVALUES AND EIGENFUNCTIONS; ENTROPY; FEATURE EXTRACTION; LIGHTNING; SIGNAL DETECTION; TRANSIENTS; WAVELET ANALYSIS; WAVELET TRANSFORMS;

NEURAL NETWORKS;

EID: 79952006398     PISSN: 01420615     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ijepes.2010.10.001     Document Type: Article

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