Research on the Influence of Different Electrode Materials on DC Arc Fault Detection Characteristics
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9670879/9670886/09671187.pdf?arnumber=9671187
Reference12 articles.
1. Series DC Arc Fault Detection Based on Ensemble Machine Learning
2. The spectral characteristics of vacuum arc plasma under different anode materials;zhang;2019 International Symposium on Antennas and Propagation (ISAP),0
3. Characteristic Study and Time-Domain Discrete- Wavelet-Transform Based Hybrid Detection of Series DC Arc Faults
4. Series Arc Fault Identification for Photovoltaic System Based on Time-Domain and Time-Frequency-Domain Analysis
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1. Research on Relationship between Material Transfer and High Frequency Characteristics of DC Arc Plasma;2024 IEEE International Conference on Plasma Science (ICOPS);2024-06-16
2. Research on Extracting Potential DC Arc Fault Features Based on Data Mining Methods;2023 IEEE 68th Holm Conference on Electrical Contacts (HOLM);2023-10-04
3. Experimental Research on the Effect of Different Electrode Materials on Arc Energy Parameters;IEEE Transactions on Plasma Science;2023-10
4. Effect of different electrode materials on the arc energy under arc discharge;2023 30th International Symposium on Discharges and Electrical Insulation in Vacuum (ISDEIV);2023-06-25
5. A Comprehensive Review of Detection Methods for DC Arc Fault Detection in Photovoltaic System;Lecture Notes in Electrical Engineering;2023
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