VeHIF: An Accessible Vegetation High-Impedance Fault Data Set Format
Author:
Affiliation:
1. College of Engineering and Science, Victoria University, Melbourne, VIC, Australia
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/61/9962147/09844807.pdf?arnumber=9844807
Reference10 articles.
1. High-Sensitivity Vegetation High-Impedance Fault Detection Based on Signal's High-Frequency Contents
2. Vegetation conduction ignition test report - Final;marxsen,2015
3. Blocks and fuel: Frameworks for deep learning;merriënboer,2015
4. Early Detection of Vegetation Ignition Due to Powerline Faults
5. Vegetation High-Impedance Faults’ High-Frequency Signatures via Sparse Coding
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2. A novel method to detect and classify High Impedance Fault in EV integrated distribution system;2023 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE);2023-12-17
3. A Critical Analysis on Different High Impedance Fault Detection Schemes;Electric Power Components and Systems;2023-11-22
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