An Evaluation Method of Composite Insulator Aging Grade Based on Probabilistic Neural Network-Reference-Cited by-同舟云学术

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An Evaluation Method of Composite Insulator Aging Grade Based on Probabilistic Neural Network

Published:2023-04 Issue: Volume: Page:
ISSN:
Container-title:2023 Panda Forum on Power and Energy (PandaFPE)
language:
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Author:

Liu Yang¹,Fan Yihan¹,Guo Yujun¹,Xiao Song¹,Zhang Xueqin¹,Lv Si¹,Wu Guangning¹

Affiliation:

1. School of Electrical Engineering, Southwest Jiaotong University,Chengdu,China

Funder

State Grid Corporation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10140170/10140192/10140233.pdf?arnumber=10140233

Reference5 articles.

1. Natural pollution characteristics of composite insulators for overhead transmission lines in hunan power grid [J];Yafeng;High Voltage Engineering,2018

2. Review of condition monitoring and defect inspection methods for composited cable terminals

3. A Novel Method for Visualizing the Pollution Distribution of Insulators

4. Surface Roughness Detection of Roof Insulator Based on Hyperspectral Technology

5. Oil-immersed Power Transformer Internal Fault Diagnosis Research Based on Probabilistic Neural Network

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 new detection method for the ageing state of composite insulators based on spectral–spatial feature fusion;Expert Systems with Applications;2024-11

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