Series Arc Fault Identification Method Based on Lightweight Convolutional Neural Network
Author:
Affiliation:
1. Faculty of Electrical and Control Engineering, Liaoning Technical University, Huludao, China
2. College of Electrical and Electronic Engineering, Wenzhou University, Wenzhou, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6287639/10380310/10382528.pdf?arnumber=10382528
Reference25 articles.
1. Arc fault circuit interrupter;Yin,2014
2. Series Arc Fault Detection Using Regular Signals and Time-Series Reconstruction
3. Arc Fault Detection Method Based on CZT Low-Frequency Harmonic Current Analysis
4. A series fault arc detection method based on the fusion of correlation theory and zero current feature;Zhao;Chin. J. Sci. Instrum.,2020
5. A Coupling Method for Identifying Arc Faults Based on Short-Observation-Window SVDR
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1. Detection of Series AC Arc Fault Based on Continuous Wavelet Transform and Artificial Neural Network Under Voltage Variation Disturbances;2024 International Electronics Symposium (IES);2024-08-06
2. Series‐arc‐fault diagnosis using feature fusion‐based deep learning model;ETRI Journal;2024-06-06
3. Explainability Approach-Based Series Arc Fault Detection Method for Photovoltaic Systems;IEEE Access;2024
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