An On-Line Detection Method and Device of Series Arc Fault Based on Lightweight CNN
Author:
Affiliation:
1. Faulty 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
Scientific Research Fund Project of the Education Department of Liaoning Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Science Applications,Information Systems,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/9424/10214691/10018466.pdf?arnumber=10018466
Reference35 articles.
1. An arc fault detection method based on the self-normalized convolutional neural network;zhang;Chin J Sci Instrum,2021
2. Roofline
3. A series arc fault detection method based on multi-layer convolutional neural network;chu;Power Syst Technol,2020
4. MobileNets: Efficient convolutional neural networks for mobile vision applications;howard,2017
5. Series AC Arc Fault Diagnosis Based on Data Enhancement and Adaptive Asymmetric Convolutional Neural Network
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