HVDC GIS/GIL - Machine Learning Algorithms for Online PD Classification at DC Voltage-Reference-Cited by-同舟云学术

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HVDC GIS/GIL - Machine Learning Algorithms for Online PD Classification at DC Voltage

Published:2022-11-13 Issue: Volume: Page:
ISSN:
Container-title:2022 9th International Conference on Condition Monitoring and Diagnosis (CMD)
language:
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Author:

Schober B.¹,Schichler U.¹

Affiliation:

1. Institute of High Voltage Engineering and System Performance, Graz University of Technology,Graz,Austria,8010

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9991244/9991271/09991295.pdf?arnumber=9991295

Reference10 articles.

1. Features and benefits of UHF partial discharge monitoring systems for GIS

2. UHF Partial Discharge Monitoring System in Service: Generating and responding to PD alarms;Cook

3. Separation of Superposed PD Faults and Noise by Synchronous Multi-Channel PD Data Acquisition

4. Partial discharge diagnostics: from apparatus monitoring to smart grid assessment

5. Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern Recognition

Cited by 2 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. Synchrophasor Measurement System Industry Standards and Guidance: A Comprehensive Overview;IEEE Transactions on Power Delivery;2024-06

2. Towards Generalizable Classification of Partial Discharges in Gas-Insulated HVDC Systems Using Neural Networks: Protrusions and Particles;IEEE Transactions on Power Delivery;2024-06

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