Recognition and Classification of Electrical Treeing Images using Machine Learning

被引：0
|
作者：
Shiozaki Y. [1 ]
Jeon H.-G. [1 ]
Ihori H. [1 ]
机构：
[1] Ehime University, 3, Bunkyo-cho, Matsuyama
来源：
IEEJ Transactions on Fundamentals and Materials | 2023年 / 143卷 / 08期
关键词：
electrical tree; machine learning; silicone gel; supervised learning;
D O I：
10.1541/ieejfms.143.282
中图分类号：
学科分类号：
摘要：
The electrical tree is degradation traces of insulating materials. The mechanism of this electrical tree progress is not yet understood. Therefore, we wondered if machine learning could be used to elucidate the progress mechanism. First, we investigated the applicability of machine learning to electrical tree. © 2023 The Institute of Electrical Engineers of Japan.
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收藏
页码：282 / 283
页数：1
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