Classification of defects in ceramic insulators using partial discharge signatures extracted from radio frequency (RF) signals-Reference-Cited by-同舟云学术

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Classification of defects in ceramic insulators using partial discharge signatures extracted from radio frequency (RF) signals

Published:2014-10 Issue: Volume: Page:
ISSN:
Container-title:2014 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP)
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Author:

Anjum Shaharyar,El- Hag Ayman,Jayaram Shesha,Naderian Ali

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6979383/6995725/06995770.pdf?arnumber=6995770

Cited by 7 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

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2. Thermal Aging Characteristics of Silicone Rubber Exposed to Mineral Oil;IEEE Transactions on Dielectrics and Electrical Insulation;2023-12

3. A Study on the Ability of Different Non-Intrusive Sensors for Diagnosing Outdoor Insulator Defects;2023 IEEE Electrical Insulation Conference (EIC);2023-06-18

4. Insulator Leakage Current Prediction Using Hybrid of Particle Swarm Optimization and Gene Algorithm-Based Neural Network and Surface Spark Discharge Data;Computational Intelligence and Neuroscience;2022-08-25

5. Hybrid Algorithm Based on Machine Learning and Deep Learning to Identify Ceramic Insulators and Detect Physical Damages;2021 IEEE Conference on Electrical Insulation and Dielectric Phenomena (CEIDP);2021-12-12

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