Estimating Substation Lightning Arrester Deterioration Guideline: A k-NN Algorithm with Leakage Current Measurement-Reference-Cited by-同舟云学术

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Estimating Substation Lightning Arrester Deterioration Guideline: A k-NN Algorithm with Leakage Current Measurement

Published:2023-02-25 Issue: Volume: Page:
ISSN:
Container-title:2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE)
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Author:

Gil Yujung¹,Kim Jihie²,Kim Dongho³

Affiliation:

1. Dongguk Univerisity,Dept. of Computer Science and Engineering,Seoul,Republic of Korea

2. Dongguk Univerisity,School of Artificial Intelligence Convergence,Seoul,Republic of Korea

3. Dongguk Univerisity,Dongguk Institute of Convergence Education,Seoul,Republic of Korea

Funder

Ministry of Education

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10217214/10217224/10217781.pdf?arnumber=10217781

Reference13 articles.

1. Research on Early Warning Technology of Lightning Arrester Defects Based on Multistage Information and Bayesian Inference;pei;2021 2nd International Conference on Applied Physics and Computing (ICAPC),2021

2. RobustScaler: QoS-Aware Autoscaling for Complex Workloads

3. A Brief Review of Nearest Neighbor Algorithm for Learning and Classification

4. Soft Similarity and Soft Cosine Measure: Similarity of Features in Vector Space Model;grigori;2014 Computación y Sistemas,2014

5. Evaluation and diagnosis technique for surge arresters

Cited by 1 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 Bibliometric and Comprehensive Review on Condition Monitoring of Metal Oxide Surge Arresters;Sensors;2023-12-31

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