A new classification method for transient power quality combining spectral kurtosis with neural network

Neurocomputing

Volumn 125, Issue , 2014, Pages 95-101

  Liu, Zhigang ^a   Zhang, Qiaoge ^a   Han, Zhiwei ^a   Chen, Gang ^a  

^a SOUTHWEST JIAOTONG UNIVERSITY   (China)

Author keywords

Classification; Neural network; Power quality; Spectral kurtosis; Transient disturbance

Indexed keywords

CLASSIFICATION METHODS; COMPUTATION METHODS; DISTURBANCE SIGNALS; SHORT TIME FOURIER TRANSFORMS; SPECTRAL KURTOSIS; STATISTICAL MOMENTS; TRANSIENT DISTURBANCES; TRANSIENT POWER QUALITY;

CLASSIFICATION (OF INFORMATION); HIGHER ORDER STATISTICS; POWER QUALITY; TRANSIENTS;

NEURAL NETWORKS;

AMPLITUDE MODULATION; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLASSIFICATION ALGORITHM; ELECTRIC POTENTIAL; FOURIER TRANSFORMATION; FREQUENCY ANALYSIS; KERNEL METHOD; OSCILLATION; PRIORITY JOURNAL; PROBABILITY; SIGNAL NOISE RATIO; SIMULATION; SPECTRAL KURTOSIS; SPECTRUM; STATISTICAL ANALYSIS; WAVEFORM; WAVELET ANALYSIS;

EID: 84888021544     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.09.037     Document Type: Article

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