Distribution-Balanced Federated Learning for Fault Identification of Power Lines
Author:
Affiliation:
1. School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore
Funder
Department of the Navy, Office of Naval Research Global
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/59/10375285/10105515.pdf?arnumber=10105515
Reference50 articles.
1. The Performance of Strippable and Bonded Screened Medium-Voltage XLPE-Insulated Cables Under Long-Term Accelerated Aging
2. Fault Detection for Covered Conductors With High-Frequency Voltage Signals: From Local Patterns to Global Features
3. Statistical Feature Selection From Massive Data in Distribution Fault Diagnosis
4. Self-Assessment of Health Conditions of Electrical Assets and Grid Components: A Contribution to Smart Grids
5. Fault identification in an AC-DC transmission system using neural networks
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