An algorithm for the detection of DC series-arc faults using a Convolution Neural Network

Author:

Schweitzer Patrick1,Chu Ruobo2,Jiang Yueyang1,Bonnet Christophe1,Berviller Yves1,Weber Serge1,Tisserand Etienne1,Chabert Alexis1

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

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

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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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