Recognition of multiple PQ disturbances using dynamic structure neural networks - Part 1: Theoretical introduction

Proceedings of the IEEE Power Engineering Society Transmission and Distribution Conference

Volumn 2005, Issue , 2005, Pages 1-6

  Chuang, Cheng Long ^a   Lu, Yen Ling ^c   Huang, Tsong Liang ^b   Hsiao, Ying Tung ^b   Jiang, Joe Air ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b TAMKANG UNIVERSITY   (Taiwan)

^c Central Personnel Administration   (Taiwan)

Author keywords

Neural networks; Pattern recognition; Power quality; Wavelet transform

Indexed keywords

NEURAL NETWORKS; PATTERN RECOGNITION; WAVEFORM ANALYSIS; WAVELET TRANSFORMS; ELECTRIC INDUSTRY; TRANSIENTS;

AMPLITUDE; DISTURBANCE WAVEFORMS; DYNAMIC STRUCTURAL NEURAL NETWORK (DSNN); POWER QUALITY; POWER QUALITY (PQ); REAL POWER SYSTEMS;

ELECTRIC POWER SYSTEMS; NEURAL NETWORKS;

EID: 33751369501     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/TDC.2005.1546956     Document Type: Conference Paper

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