Fault classification scheme based on the adaptive resonance theory neural network for protection of transmission lines

Electric Power Components and Systems

Volumn 38, Issue 4, 2010, Pages 424-444

  Upendar, J ^a   Gupta, C P ^a   Singh, G K ^a  

^a INDIAN INSTITUTE OF TECHNOLOGY ROORKEE   (India)

Author keywords

Adaptive resonance theory; Artificial neural network; Fault classification; Transmission lines; Wavelets

Indexed keywords

ADAPTIVE RESONANCE THEORY; ALL PHASE; ARTIFICIAL NEURAL NETWORK; COMPUTATIONALLY EFFICIENT; DEGREE OF ACCURACY; DISTURBANCE SIGNALS; EXTENSIVE SIMULATIONS; FAULT CLASSIFICATION; FAULT CONDITIONS; NEW APPROACHES; ORIGINAL SIGNAL; POWER SYSTEM FAULT; POWER SYSTEM NETWORKS; PRE-PROCESSING UNITS; TIME-DOMAIN SIGNAL; TRANSMISSION LINE; WAVELET COMPONENTS;

ALGORITHMS; BANDPASS FILTERS; DISCRETE WAVELET TRANSFORMS; ELECTRIC LINES; FREQUENCY BANDS; FREQUENCY DOMAIN ANALYSIS; MATLAB; RESONANCE; TIME DOMAIN ANALYSIS; TIME SERIES ANALYSIS; TRANSMISSION LINE THEORY; WAVELET ANALYSIS;

NEURAL NETWORKS;

EID: 77950869730     PISSN: 15325008     EISSN: 15325016     Source Type: Journal    
DOI: 10.1080/15325000903330609     Document Type: Article

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