A KNN based random subspace ensemble classifier for detection and discrimination of high impedance fault in PV integrated power network-Reference-Cited by-同舟云学术

A KNN based random subspace ensemble classifier for detection and discrimination of high impedance fault in PV integrated power network

Published:2022-01 Issue: Volume:187 Page:110333
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Swarna K.S.V.,Vinayagam Arangarajan,Belsam Jeba Ananth M.,Venkatesh Kumar P.,Veerasamy Veerapandiyan,Radhakrishnan Padmavathi

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference45 articles.

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3. A novel discrete wavelet transform-based graphical language classifier for identification of high-impedance fault in distribution power system;Veerasamy;Int. Trans. Electrical Energy Syst.,2020

4. Incipient fault diagnosis of roller bearing using optimized wavelet transform based multi-speed vibration signatures;Huo;IEEE Access,2017

5. PSD based high impedance fault detection and classification in distribution system;Roy;Measurement,2021

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