Residual learning-based robotic image analysis model for low-voltage distributed photovoltaic fault identification and positioning

Residual learning-based robotic image analysis model for low-voltage distributed photovoltaic fault identification and positioning

With the fast development of large-scale Photovoltaic (PV) plants, the automatic PV fault identification and positioning have become an important task for the PV intelligent systems, aiming to guarantee the safety, reliability, and productivity of large-scale PV plants. In this paper, we propose a r...

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Bibliographic Details
Main Authors: Xudong Zhang, Yunlong Ge, Yifeng Wang, Jun Wang, Wenhao Wang, Lijun Lu
Format: Article
Language:English
Published: Frontiers Media S.A. 2024-04-01
Series:Frontiers in Neurorobotics
Subjects:
low-voltage distributed photovoltaics
photovoltaic identification
positioning technology
unmanned aerial vehicle imagery
horizontal comparison experiment
Online Access:https://www.frontiersin.org/articles/10.3389/fnbot.2024.1396979/full

Internet

https://www.frontiersin.org/articles/10.3389/fnbot.2024.1396979/full

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