Open AccessAn Artificial intelligence approach to detection of high impedance fault
Author(s) -
Rakesh Kumar,
Neelam Saini,
Ankita Saini
Publication year - 2014
Publication title -
ijarcce
Language(s) - English
Resource type - Journals
eISSN - 2319-5940
pISSN - 2278-1021
DOI - 10.17148/ijarcce.2014.31002
Subject(s) - artificial intelligence , fault (geology) , fault detection and isolation , computer science , electrical impedance , pattern recognition (psychology) , engineering , seismology , electrical engineering , geology , actuator
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