A Comparative Study of Denoising Techniques for UHF Signals from Partial Discharge-Reference-Cited by-同舟云学术

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A Comparative Study of Denoising Techniques for UHF Signals from Partial Discharge

Published:2022-10 Issue: Volume: Page:
ISSN:
Container-title:2022 8th International Engineering, Sciences and Technology Conference (IESTEC)
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Author:

Boya-Lara Carlos¹,Rivera-Caballero Omar²,Ardila-Rey Jorge Alfredo³

Affiliation:

1. Universidad Interamericana de Panamá,Research Directorate,Ciudad de Panamá,Panamá

2. Universidad Interamericana de Panamá,High Voltage Electrical Testing Laboratory (LEEAT),Ciudad de Panamá,Panamá

3. Universidad Técnica Federico Santa Maria,Department of Electrical Engineering,Santiago de Chile,Chile

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10040724/10040725/10040896.pdf?arnumber=10040896

Reference28 articles.

1. Detection of Partial Discharge Sources Using UHF Sensors and Blind Signal Separation

2. Antenna Parametrization for the Detection of Partial Discharges

3. A Novel Adaptive EEMD Method for Switchgear Partial Discharge Signal Denoising

4. Partial discharge localization in transformers using UHF detection method

5. On the use of Vivaldi antennas in the detection of partial discharges

Cited by 3 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 Review on the Classification of Partial Discharges in Medium-Voltage Cables: Detection, Feature Extraction, Artificial Intelligence-Based Classification, and Optimization Techniques;Energies;2024-02-28

2. A Comparison of Denoising Techniques with Signals Affected by Non-Gaussian Noise and Sample Entropy as an Indicator of Performance;2023 IEEE Latin-American Conference on Communications (LATINCOM);2023-11-15

3. A Deep Learning Framework for Noise Elimination of Partial Discharge Signals;2023 IEEE 2nd International Conference on Industrial Electronics: Developments & Applications (ICIDeA);2023-09-29

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