Novel MOA Fault Detection Technology Based on Small Sample Infrared Image

Novel MOA Fault Detection Technology Based on Small Sample Infrared Image

This paper proposes a novel metal oxide arrester (MOA) fault detection technology based on a small sample infrared image. The research is carried out from the detection process and data enhancement. A lightweight MOA identification and location algorithm is designed at the edge, which can not only r...

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Bibliographic Details
Main Authors: Baoquan Wei, Yong Zuo, Yande Liu, Wei Luo, Kaiyun Wen, Fangming Deng
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Electronics
Subjects:
metal oxide arrester
deep learning
edge computing
condition monitoring
Online Access:https://www.mdpi.com/2079-9292/10/15/1748

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