Automatic selection of frequency bands for the power ratios separation technique in partial discharge measurements: part II, PD source recognition and applications
Author:
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/94/7179123/07179193.pdf?arnumber=7179193
Cited by 15 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. A Partial Discharge Signal Separation Method Applicable for Various Sensors Based on Time–Frequency Feature Extraction of t-SNE;IEEE Transactions on Instrumentation and Measurement;2024
2. Variation in the Spectral Content of UHF PD Signals Due to the Presence of Obstacles in the Measurement Environment;IEEE Sensors Journal;2023-10-01
3. Clustering by communication with local agents for noise and multiple partial Discharges discrimination;Expert Systems with Applications;2023-09
4. Enhanced particle swarm optimization-based convolution neural network hyperparameters tuning for transformer failure diagnosis under complex data sources;Electrical Engineering;2022-02-09
5. Recognition of shed damage on 11-kV polymer insulator using Bayesian optimized convolution neural network;Soft Computing;2022-01-27
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