Recognition of fault transients using a probabilistic neural-network classifier

IEEE Transactions on Power Delivery

Volumn 26, Issue 1, 2011, Pages 410-419

  Perera, N ^a   Rajapakse, A D ^a  

^a UNIVERSITY OF MANITOBA   (Canada)

Author keywords

Hidden Markov models (HMMs); neural networks; power system protection; power system transients; wavelet transforms

Indexed keywords

ARCING FAULTS; CAPACITOR BANK SWITCHING; CLASSIFICATION TECHNIQUE; CURRENT WAVEFORMS; FAULT IMPEDANCES; FAULT TRANSIENTS; HIGH-VOLTAGES; INPUT FEATURES; LOAD SWITCHING; OFFLINE; ON-LINE CLASSIFICATION; POWER SYSTEM PROTECTION; POWER SYSTEM TRANSIENTS; PSCAD/EMTDC; PSCAD/EMTDC SIMULATIONS; SIGNAL NOISE; SIMULATED TRANSIENTS; THREE-PHASE CURRENTS; TRANSFORMER SATURATION; TRANSIENT CLASSIFICATION; WAVE FORMS; WAVELET ENERGY;

CAPACITORS; CLASSIFIERS; COMPUTER SIMULATION; COMPUTER SOFTWARE; DECISION TREES; ELECTRIC EQUIPMENT PROTECTION; ELECTRIC POWER SYSTEM PROTECTION; ELECTRIC POWER TRANSMISSION; NEURAL NETWORKS; OBJECT RECOGNITION; TRANSIENTS; WAVELET TRANSFORMS;

HIDDEN MARKOV MODELS;

EID: 78650915939     PISSN: 08858977     EISSN: None     Source Type: Journal    
DOI: 10.1109/TPWRD.2010.2060214     Document Type: Article

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