Classification of Partial Discharge Sources using Waveform Parameters and Phase-Resolved Partial Discharge Pattern as Input for the Artificial Neural Network
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/8520560/8535595/08535675.pdf?arnumber=8535675
Cited by 12 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. Partial Discharge Source Classification in Power Transformers: A Systematic Literature Review;Applied Sciences;2024-07-12
2. Machine Learning Applications for Online Partial Discharge Detection, Classification, and Localization in Power Transformers: A Review;2024 4th International Conference on Smart Grid and Renewable Energy (SGRE);2024-01-08
3. Partial Discharge Classification in Insulation Material via Discrete Wavelet Transform Noise Reduction and Artificial Neural Network;2023 Innovations in Power and Advanced Computing Technologies (i-PACT);2023-12-08
4. General Machine Learning-Based Approach to Pulse Classification for Separation of Partial Discharges and Interference;IEEE Sensors Journal;2023-11-01
5. Comparative performance analysis of machine learning algorithms in partial discharge source classification;2023 7th International Conference on Computer Applications in Electrical Engineering-Recent Advances (CERA);2023-10-27
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