Classification of PD Faults Using Features Extraction and K-Means Clustering Techniques-Reference-Cited by-同舟云学术

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Classification of PD Faults Using Features Extraction and K-Means Clustering Techniques

Published:2020-10-26 Issue: Volume: Page:
ISSN:
Container-title:2020 IEEE PES Innovative Smart Grid Technologies Europe (ISGT-Europe)
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Author:

Kumar Haresh,Shafiq Muhammad,Hussain Ghulam Amjad,Kumpulainen Lauri,Kauhaniemi Kimmo

Funder

Business Finland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9248704/9248705/09248984.pdf?arnumber=9248984

Cited by 5 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. Emerging Technologies based Use Case Development for Condition Monitoring and Predictive Maintenance of MV Cables;2023 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT-LA);2023-11-06

3. Localization of HV Insulation Defects Using a System of Associated Capacitive Sensors;Energies;2023-02-27

4. Performance Evaluation of AI-based Algorithms for Condition Assessment of Power Components;2022 9th International Conference on Condition Monitoring and Diagnosis (CMD);2022-11-13

5. Comparison of Machine Learning Algorithms for Classification of Partial Discharge Signals in Medium Voltage Components;2021 IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe);2021-10-18

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