Detection and classification of high impedance faults in power distribution networks using ART neural networks

2013 21st Iranian Conference on Electrical Engineering, ICEE 2013

Volumn , Issue , 2013, Pages

  Nikoofekr, I ^a   Sarlak, M ^b   Shahrtash, S M ^c  

^a FERDOWSI UNIVERSITY OF MASHHAD   (Iran)

^b Jondi Shapour University   (Iran)

^c IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Iran)

Author keywords

ART Neural Network; Distribution Network Protection; High Impedance Fault; Pattern Recognition; TT transform

Indexed keywords

ADAPTIVE RESONANCE THEORY; ART NEURAL NETWORKS; DISTRIBUTION NETWORK PROTECTION; FAULT-CURRENT SIGNAL; HIGH IMPEDANCE FAULT; MEDIAN ABSOLUTE DEVIATION; POWER DISTRIBUTION NETWORK; TT-TRANSFORM;

ELECTRIC FAULT CURRENTS; ELECTRICAL ENGINEERING; PATTERN RECOGNITION;

NEURAL NETWORKS;

EID: 84886881446     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IranianCEE.2013.6599760     Document Type: Conference Paper

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