Fault Detection Based on the Generalized S-Transform With a Variable Factor for Resonant Grounding Distribution Networks
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science
Link
http://xplorestaging.ieee.org/ielx7/6287639/8948470/09091525.pdf?arnumber=9091525
Cited by 27 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. Series arc‐fault diagnosis using convolutional neural network via generalized S‐transform and power spectral density;IET Generation, Transmission & Distribution;2024-09-02
2. Secondary Fault Identification Method Based on the Extremely Low Frequency Current Measurement;2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE);2024-06-18
3. Novel Approach for Arc Grounded Fault Detection Based on Significant Harmonics in Resonant Grounding Distribution Network;2024 IEEE/IAS 60th Industrial and Commercial Power Systems Technical Conference (I&CPS);2024-05-19
4. Single-phase Grounding Fault Detection Method in Resonant Grounding System Based on the Ratio of Instantaneous Zero-Sequence Voltage to Current Derivative;2024 IEEE 2nd International Conference on Power Science and Technology (ICPST);2024-05-09
5. Detection of Faulty Feeders and Phases in Resonant Grounded Power Distribution Networks for Bushfire Prone Areas Using Measurements From Existing Field Devices;IEEE Transactions on Instrumentation and Measurement;2024
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