Data Mining of Online Diagnosed Waveforms for Probabilistic Condition Assessment of SF$_{6}$ Circuit Breakers

Author:

Razi-Kazemi Ali Asghar,Vakilian Mehdi,Niayesh Kaveh,Lehtonen Matti

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Cited by 38 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. Analysis of high-voltage circuit breaker closing and opening action characteristics;Eighth International Conference on Energy System, Electricity, and Power (ESEP 2023);2024-05-13

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3. A Systematic Review for Switchgear Asset Management in Power Grids: Condition Monitoring, Health Assessment, and Maintenance Strategy;IEEE Transactions on Power Delivery;2023-10

4. Comprehensive condition assessment of circuit breakers in a power network for maintenance scheduling;IET Generation, Transmission & Distribution;2023-06-23

5. Ambient Temperature Effect On SF6 Circuit Breakers Coil Current;2023 31st International Conference on Electrical Engineering (ICEE);2023-05-09

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