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1 Ergebnisse
1
Residual Energy Based High Impedance Fault Detection and Cl..:
, In:
2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET)
,
Biswal, Tapaswini
;
Parida, S. K.
- p. 649-654 , 2022
Link:
https://doi.org/10.1109/GlobConET53749.2022.9872486
RT T1 <cTitle>2022 IEEE IAS Global Conference on Emerging Technologies (GlobConET)</cTitle>: T1 <Title>Residual Energy Based High Impedance Fault Detection and Classification in Microgrid System using Variational Mode Decomposition and K-Nearest Neighbor Classifier</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9872486&Exemplar=1&LAN=DE A1 Biswal, Tapaswini A1 Parida, S. K. YR 2022 K1 Fault diagnosis K1 Fault detection K1 Capacitors K1 Microgrids K1 Switches K1 Generators K1 Software K1 High impedance fault K1 Microgrid K1 Variational mode decomposition K1 K-nearest neighbors classifier K1 Logistic regression classifier K1 the Ensemble classifier SP 649 OP 654 LK http://dx.doi.org/https://doi.org/10.1109/GlobConET53749.2022.9872486 DO https://doi.org/10.1109/GlobConET53749.2022.9872486 SF ELIB - SuUB Bremen
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