An algorithm for the detection of DC series-arc faults using a Convolution Neural Network-Reference-Cited by-同舟云学术

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

Published:2022-10-23 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 67th Holm Conference on Electrical Contacts (HLM)
language:
Short-container-title:

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

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

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