z-logo
open-access-imgOpen Access
Evaluating a k-nearest neighbours-based classifier for locating faulty areas in power systems
Author(s) -
Juan José Mora Flórez,
Germán Morales-España,
René Barrera Cárdenas
Publication year - 2008
Publication title -
ingeniería e investigación/ingeniería e investigación
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.204
H-Index - 12
eISSN - 2248-8723
pISSN - 0120-5609
DOI - 10.15446/ing.investig.v28n3.15124
Subject(s) - classifier (uml) , fault (geology) , electric power system , power (physics) , data mining , fault indicator , computer science , voltage , engineering , fault detection and isolation , pattern recognition (psychology) , real time computing , artificial intelligence , electrical engineering , physics , quantum mechanics , seismology , actuator , geology

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here