An algorithm for the detection of DC series-arc faults using a Convolution Neural Network
Author:
Affiliation:
1. Institut Jean Lamour IJL, CNRS, University of Lorraine,France
2. Huaqiao University,Laboratory of Process Monitoring and System Optimization for Mechanical and Electrical Equipment,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9969582/9969766/09969784.pdf?arnumber=9969784
Reference12 articles.
1. An innovative photovoltaic DC arc fault detection method through multiple criteria algorithm based on a new arc initiation method
2. HF characterization of Low Current DC Arcs at Alterable Conditions;wendl;The 27th International Conference on Electrical Contacts (ICEC),2014
3. Series AC Arc Fault Detection Method Based on High-Frequency Coupling Sensor and Convolution Neural Network
4. Using PV module and line frequency response data to create 13 robust arc fault detectors;johnson;Proc 26th European Photovoltaic Solar Energy Conference and Exhibition Hamburg,2011
5. A DC Series Arc Fault Detection Method Based on a Lightweight Convolutional Neural Network Used in Photovoltaic System
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1. An AC Arc Fault Detection Method Based on FCM-LSTM-CNN;2023 3rd International Conference on Energy Engineering and Power Systems (EEPS);2023-07-28
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