A Series Arc Fault Diagnosis Method in DC Distribution Systems Based on Multiscale Features and Random Forests
Author:
Affiliation:
1. Department of Electrical Engineering, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing, China
Funder
National Natural Science Foundation of China
Postgraduate Research and Practice Innovation Program of Jiangsu Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10032973/09991962.pdf?arnumber=9991962
Reference45 articles.
1. Series Arc Fault Diagnosis and Line Selection Method Based on Recurrent Neural Network
2. A New Convolutional Neural Network With Random Forest Method for Hydrogen Sensor Fault Diagnosis
3. Application of Random Forest to Aircraft Engine Fault Diagnosis
4. Detection and Line Selection of Series Arc Fault in Multi-Load Circuit
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1. DC Series Arc Fault Diagnosis Scheme Based on Hybrid Time and Frequency Features Using Artificial Learning Models;Machines;2024-02-01
2. A Probabilistic Approach to Series Arc Fault Detection and Identification in DC Microgrids;IEEE Journal of Emerging and Selected Topics in Industrial Electronics;2024-01
3. Diagnosis of DC series arc fault based on multiple wavelet transform and optimal fractional wavelet energy entropy;Review of Scientific Instruments;2024-01-01
4. Fault line selection algorithm for distribution networks based on AdapGL‐GIN network;IET Generation, Transmission & Distribution;2023-10-09
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